ecmwf-eccodes-python-b43a0f2/0000775000175000017500000000000015172126764016337 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/setup.cfg0000664000175000017500000000111315172126764020154 0ustar alastairalastair[aliases] test = pytest [tool:pytest] norecursedirs = build dist .tox .docker-tox .eggs pep8maxlinelength = 99 mccabe-complexity = 11 filterwarnings = ignore::FutureWarning pep8ignore = * E203 W503 */__init__.py E402 eccodes/eccodes.py ALL gribapi/errors.py ALL gribapi/gribapi.py E501 flakes-ignore = */__init__.py UnusedImport */__init__.py ImportStarUsed eccodes/eccodes.py ALL eccodes/high_level/* ALL gribapi/errors.py ALL [coverage:run] branch = True [zest.releaser] python-file-with-version = gribapi/bindings.py ecmwf-eccodes-python-b43a0f2/gribapi/0000775000175000017500000000000015172126764017754 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/gribapi/__init__.py0000664000175000017500000000150015172126764022061 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # # from .gribapi import * # noqa from .gribapi import __version__, lib # The minimum recommended version for the ecCodes package min_recommended_version_str = "2.42.0" min_recommended_version_int = 24200 if lib.grib_get_api_version() < min_recommended_version_int: import warnings warnings.warn( "ecCodes {} or higher is recommended. " "You are running version {}".format(min_recommended_version_str, __version__) ) ecmwf-eccodes-python-b43a0f2/gribapi/grib_api.h0000664000175000017500000003531015172126764021703 0ustar alastairalastair/* * (C) Copyright 2017- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities granted to it by * virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction. */ typedef enum ProductKind {PRODUCT_ANY, PRODUCT_GRIB, PRODUCT_BUFR, PRODUCT_METAR, PRODUCT_GTS, PRODUCT_TAF} ProductKind; #define GRIB_TYPE_UNDEFINED 0 #define GRIB_TYPE_LONG 1 #define GRIB_TYPE_DOUBLE 2 #define GRIB_TYPE_STRING 3 #define GRIB_TYPE_BYTES 4 #define GRIB_TYPE_SECTION 5 #define GRIB_TYPE_LABEL 6 #define GRIB_TYPE_MISSING 7 #define GRIB_KEYS_ITERATOR_SKIP_READ_ONLY 1 #define GRIB_KEYS_ITERATOR_SKIP_EDITION_SPECIFIC 4 #define GRIB_KEYS_ITERATOR_SKIP_CODED 8 #define GRIB_KEYS_ITERATOR_SKIP_COMPUTED 16 #define GRIB_KEYS_ITERATOR_SKIP_DUPLICATES 32 #define GRIB_KEYS_ITERATOR_SKIP_FUNCTION 64 typedef struct grib_values grib_values; struct grib_values { const char* name; int type; long long_value; double double_value; const char* string_value; int error; int has_value; int equal; grib_values* next; }; typedef struct grib_handle grib_handle; typedef struct grib_multi_handle grib_multi_handle; typedef struct grib_context grib_context; typedef struct grib_iterator grib_iterator; typedef struct grib_nearest grib_nearest; typedef struct grib_keys_iterator grib_keys_iterator; typedef struct bufr_keys_iterator bufr_keys_iterator; typedef struct grib_index grib_index; grib_index* grib_index_new_from_file(grib_context* c, char* filename,const char* keys,int *err); int grib_index_add_file(grib_index *index, const char *filename); int grib_index_write(grib_index *index, const char *filename); grib_index* grib_index_read(grib_context* c,const char* filename,int *err); int grib_index_get_size(const grib_index* index,const char* key,size_t* size); int grib_index_get_long(const grib_index* index,const char* key, long* values,size_t *size); int grib_index_get_double(const grib_index* index, const char* key, double* values, size_t* size); int grib_index_get_string(const grib_index* index,const char* key, char** values,size_t *size); int grib_index_select_long(grib_index* index,const char* key,long value); int grib_index_select_double(grib_index* index,const char* key,double value); int grib_index_select_string(grib_index* index,const char* key,char* value); grib_handle* grib_handle_new_from_index(grib_index* index,int *err); void grib_index_delete(grib_index* index); int grib_count_in_file(grib_context* c, FILE* f,int* n); grib_handle* grib_handle_new_from_file(grib_context* c, FILE* f, int* error); grib_handle* grib_handle_new_from_message_copy(grib_context* c, const void* data, size_t data_len); grib_handle* grib_handle_new_from_samples (grib_context* c, const char* sample_name); grib_handle* grib_handle_clone(const grib_handle* h); grib_handle* grib_handle_clone_headers_only(const grib_handle* h); int grib_handle_delete(grib_handle* h); grib_multi_handle* grib_multi_handle_new(grib_context* c); int grib_multi_handle_append(grib_handle* h,int start_section,grib_multi_handle* mh); int grib_multi_handle_delete(grib_multi_handle* mh); int grib_multi_handle_write(grib_multi_handle* mh,FILE* f); int grib_get_message(const grib_handle* h ,const void** message, size_t *message_length); grib_iterator* grib_iterator_new(const grib_handle* h, unsigned long flags, int* error); int grib_iterator_next(grib_iterator *i, double* lat,double* lon,double* value); int grib_iterator_delete(grib_iterator *i); grib_nearest* grib_nearest_new(const grib_handle* h, int* error); int grib_nearest_find(grib_nearest *nearest, const grib_handle* h, double inlat, double inlon, unsigned long flags,double* outlats,double* outlons, double* values,double* distances,int* indexes,size_t *len); int grib_nearest_delete(grib_nearest *nearest); int grib_nearest_find_multiple(const grib_handle* h, int is_lsm, const double* inlats, const double* inlons, long npoints, double* outlats, double* outlons, double* values, double* distances, int* indexes); int grib_get_offset(const grib_handle* h, const char* key, size_t* offset); int grib_get_size(const grib_handle* h, const char* key,size_t *size); int grib_get_length(const grib_handle* h, const char* key,size_t *length); int grib_get_long(const grib_handle* h, const char* key, long* value); int grib_get_double(const grib_handle* h, const char* key, double* value); int grib_get_double_element(const grib_handle* h, const char* key, int i, double* value); int grib_get_double_elements(const grib_handle* h, const char* key, const int* index_array, long size, double* value); int grib_get_string(const grib_handle* h, const char* key, char* value, size_t *length); int grib_get_string_array(const grib_handle* h, const char* key, char** vals, size_t *length); int grib_get_double_array(const grib_handle* h, const char* key, double* vals, size_t *length); int grib_get_float_array(const grib_handle* h, const char* key, float* vals, size_t *length); int grib_get_long_array(const grib_handle* h, const char* key, long* vals, size_t *length); int grib_copy_namespace(grib_handle* dest, const char* name, grib_handle* src); int grib_set_long(grib_handle* h, const char* key, long val); int grib_set_double(grib_handle* h, const char* key, double val); int grib_set_string(grib_handle* h, const char* key, const char* mesg, size_t *length); int grib_set_double_array(grib_handle* h, const char* key , const double* vals , size_t length); int grib_set_long_array(grib_handle* h, const char* key , const long* vals, size_t length); int grib_set_string_array(grib_handle* h, const char *key, const char **vals, size_t length); void grib_dump_content(const grib_handle* h, FILE* out, const char* mode, unsigned long option_flags, void* arg); grib_context* grib_context_get_default(void); void grib_context_delete(grib_context* c); void grib_gts_header_on(grib_context* c); void grib_gts_header_off(grib_context* c); void grib_gribex_mode_on(grib_context* c); void grib_gribex_mode_off(grib_context* c); void grib_context_set_definitions_path(grib_context* c, const char* path); void grib_context_set_debug(grib_context* c, int mode); void grib_context_set_data_quality_checks(grib_context* c, int val); void grib_context_set_samples_path(grib_context* c, const char* path); void grib_multi_support_on(grib_context* c); void grib_multi_support_off(grib_context* c); void grib_multi_support_reset_file(grib_context* c, FILE* f); long grib_get_api_version(void); void grib_context_set_logging_file(grib_context* c, FILE* f); char* grib_samples_path(const grib_context *c); char* grib_definition_path(const grib_context *c); char* grib_context_full_defs_path(grib_context* c, const char* basename); grib_keys_iterator* grib_keys_iterator_new(grib_handle* h,unsigned long filter_flags, const char* name_space); bufr_keys_iterator* codes_bufr_keys_iterator_new(grib_handle* h, unsigned long filter_flags); int grib_keys_iterator_next(grib_keys_iterator* kiter); int codes_bufr_keys_iterator_next(bufr_keys_iterator* kiter); const char* grib_keys_iterator_get_name(const grib_keys_iterator *kiter); char* codes_bufr_keys_iterator_get_name(const bufr_keys_iterator* kiter); int grib_keys_iterator_delete(grib_keys_iterator* kiter); int codes_bufr_keys_iterator_delete(bufr_keys_iterator* kiter); int grib_keys_iterator_rewind(grib_keys_iterator* kiter); int codes_bufr_keys_iterator_rewind(bufr_keys_iterator* kiter); int grib_keys_iterator_set_flags(grib_keys_iterator *kiter,unsigned long flags); const char* grib_get_error_message(int code); int grib_get_native_type(const grib_handle* h, const char* name,int* type); /* aa: changed off_t to long int */ int grib_get_message_offset(const grib_handle* h,long int* offset); int grib_set_values(grib_handle* h,grib_values* grib_values , size_t arg_count); int grib_is_missing(const grib_handle* h, const char* key, int* err); int grib_is_defined(const grib_handle* h, const char* key); int grib_set_missing(grib_handle* h, const char* key); int grib_get_message_size(const grib_handle* h,size_t* size); int parse_keyval_string(const char *grib_tool, char *arg, int values_required, int default_type, grib_values values[], int *count); int grib_get_data(const grib_handle *h, double *lats, double *lons, double *values); int grib_get_gaussian_latitudes(long trunc, double* lats); int codes_is_feature_enabled(const char* feature); int codes_get_features(char* result, size_t* length, int select); /* EXPERIMENTAL */ typedef struct codes_bufr_header { unsigned long message_offset; unsigned long message_size; /* Section 0 keys */ long edition; /* Section 1 keys */ long masterTableNumber; long bufrHeaderSubCentre; long bufrHeaderCentre; long updateSequenceNumber; long dataCategory; long dataSubCategory; long masterTablesVersionNumber; long localTablesVersionNumber; long typicalYear; long typicalMonth; long typicalDay; long typicalHour; long typicalMinute; long typicalSecond; long typicalDate; long typicalTime; long internationalDataSubCategory; long localSectionPresent; long ecmwfLocalSectionPresent; /* ECMWF local section keys */ long rdbType; long oldSubtype; long rdbSubtype; char ident[9]; long localYear; long localMonth; long localDay; long localHour; long localMinute; long localSecond; long rdbtimeDay; long rdbtimeHour; long rdbtimeMinute; long rdbtimeSecond; long rectimeDay; long rectimeHour; long rectimeMinute; long rectimeSecond; long restricted; long isSatellite; double localLongitude1; double localLatitude1; double localLongitude2; double localLatitude2; double localLatitude; double localLongitude; long localNumberOfObservations; long satelliteID; long qualityControl; long newSubtype; long daLoop; /* Section 3 keys */ unsigned long numberOfSubsets; long observedData; long compressedData; } codes_bufr_header; /** No error */ #define GRIB_SUCCESS 0 /** End of resource reached */ #define GRIB_END_OF_FILE -1 /** Internal error */ #define GRIB_INTERNAL_ERROR -2 /** Passed buffer is too small */ #define GRIB_BUFFER_TOO_SMALL -3 /** Function not yet implemented */ #define GRIB_NOT_IMPLEMENTED -4 /** Missing 7777 at end of message */ #define GRIB_7777_NOT_FOUND -5 /** Passed array is too small */ #define GRIB_ARRAY_TOO_SMALL -6 /** File not found */ #define GRIB_FILE_NOT_FOUND -7 /** Code not found in code table */ #define GRIB_CODE_NOT_FOUND_IN_TABLE -8 /** Array size mismatch */ #define GRIB_WRONG_ARRAY_SIZE -9 /** Key/value not found */ #define GRIB_NOT_FOUND -10 /** Input output problem */ #define GRIB_IO_PROBLEM -11 /** Message invalid */ #define GRIB_INVALID_MESSAGE -12 /** Decoding invalid */ #define GRIB_DECODING_ERROR -13 /** Encoding invalid */ #define GRIB_ENCODING_ERROR -14 /** Code cannot unpack because of string too small */ #define GRIB_NO_MORE_IN_SET -15 /** Problem with calculation of geographic attributes */ #define GRIB_GEOCALCULUS_PROBLEM -16 /** Memory allocation error */ #define GRIB_OUT_OF_MEMORY -17 /** Value is read only */ #define GRIB_READ_ONLY -18 /** Invalid argument */ #define GRIB_INVALID_ARGUMENT -19 /** Null handle */ #define GRIB_NULL_HANDLE -20 /** Invalid section number */ #define GRIB_INVALID_SECTION_NUMBER -21 /** Value cannot be missing */ #define GRIB_VALUE_CANNOT_BE_MISSING -22 /** Wrong message length */ #define GRIB_WRONG_LENGTH -23 /** Invalid key type */ #define GRIB_INVALID_TYPE -24 /** Unable to set step */ #define GRIB_WRONG_STEP -25 /** Wrong units for step (step must be integer) */ #define GRIB_WRONG_STEP_UNIT -26 /** Invalid file id */ #define GRIB_INVALID_FILE -27 /** Invalid grib id */ #define GRIB_INVALID_GRIB -28 /** Invalid index id */ #define GRIB_INVALID_INDEX -29 /** Invalid iterator id */ #define GRIB_INVALID_ITERATOR -30 /** Invalid keys iterator id */ #define GRIB_INVALID_KEYS_ITERATOR -31 /** Invalid nearest id */ #define GRIB_INVALID_NEAREST -32 /** Invalid order by */ #define GRIB_INVALID_ORDERBY -33 /** Missing a key from the fieldset */ #define GRIB_MISSING_KEY -34 /** The point is out of the grid area */ #define GRIB_OUT_OF_AREA -35 /** Concept no match */ #define GRIB_CONCEPT_NO_MATCH -36 /** Hash array no match */ #define GRIB_HASH_ARRAY_NO_MATCH -37 /** Definitions files not found */ #define GRIB_NO_DEFINITIONS -38 /** Wrong type while packing */ #define GRIB_WRONG_TYPE -39 /** End of resource */ #define GRIB_END -40 /** Unable to code a field without values */ #define GRIB_NO_VALUES -41 /** Grid description is wrong or inconsistent */ #define GRIB_WRONG_GRID -42 /** End of index reached */ #define GRIB_END_OF_INDEX -43 /** Null index */ #define GRIB_NULL_INDEX -44 /** End of resource reached when reading message */ #define GRIB_PREMATURE_END_OF_FILE -45 /** An internal array is too small */ #define GRIB_INTERNAL_ARRAY_TOO_SMALL -46 /** Message is too large for the current architecture */ #define GRIB_MESSAGE_TOO_LARGE -47 /** Constant field */ #define GRIB_CONSTANT_FIELD -48 /** Switch unable to find a matching case */ #define GRIB_SWITCH_NO_MATCH -49 /** Underflow */ #define GRIB_UNDERFLOW -50 /** Message malformed */ #define GRIB_MESSAGE_MALFORMED -51 /** Index is corrupted */ #define GRIB_CORRUPTED_INDEX -52 /** Invalid number of bits per value */ #define GRIB_INVALID_BPV -53 /** Edition of two messages is different */ #define GRIB_DIFFERENT_EDITION -54 /** Value is different */ #define GRIB_VALUE_DIFFERENT -55 /** Invalid key value */ #define GRIB_INVALID_KEY_VALUE -56 /** String is smaller than requested */ #define GRIB_STRING_TOO_SMALL -57 /** Wrong type conversion */ #define GRIB_WRONG_CONVERSION -58 /** Missing BUFR table entry for descriptor */ #define GRIB_MISSING_BUFR_ENTRY -59 /** Null pointer */ #define GRIB_NULL_POINTER -60 /** Attribute is already present, cannot add */ #define GRIB_ATTRIBUTE_CLASH -61 /** Too many attributes. Increase MAX_ACCESSOR_ATTRIBUTES */ #define GRIB_TOO_MANY_ATTRIBUTES -62 /** Attribute not found. */ #define GRIB_ATTRIBUTE_NOT_FOUND -63 /** Edition not supported. */ #define GRIB_UNSUPPORTED_EDITION -64 /** Value out of coding range */ #define GRIB_OUT_OF_RANGE -65 /** Size of bitmap is incorrect */ #define GRIB_WRONG_BITMAP_SIZE -66 /** Functionality not enabled */ #define GRIB_FUNCTIONALITY_NOT_ENABLED -67 /** Runtime error */ #define GRIB_RUNTIME_ERROR -80 ecmwf-eccodes-python-b43a0f2/gribapi/eccodes.h0000664000175000017500000000324715172126764021540 0ustar alastairalastair/* * (C) Copyright 2017- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities granted to it by * virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction. */ typedef struct grib_handle codes_handle; typedef struct grib_context codes_context; grib_handle* codes_handle_new_from_file(codes_context* c, FILE* f, ProductKind product, int* error); codes_handle* codes_bufr_handle_new_from_samples(codes_context* c, const char* sample_name); codes_handle* codes_handle_new_from_samples(codes_context* c, const char* sample_name); int codes_bufr_copy_data(grib_handle* hin, grib_handle* hout); void codes_bufr_multi_element_constant_arrays_on(codes_context* c); void codes_bufr_multi_element_constant_arrays_off(codes_context* c); int codes_bufr_extract_headers_malloc(codes_context* c, const char* filename, codes_bufr_header** result, int* num_messages, int strict_mode); int codes_extract_offsets_malloc(codes_context* c, const char* filename, ProductKind product, long int** offsets, int* num_messages, int strict_mode); int codes_extract_offsets_sizes_malloc(codes_context* c, const char* filename, ProductKind product, long int** offsets, size_t** sizes, int* num_messages, int strict_mode); int codes_bufr_key_is_header(const codes_handle* h, const char* key, int* err); int codes_bufr_key_is_coordinate(const codes_handle* h, const char* key, int* err); char* codes_samples_path(const codes_context *c); char* codes_definition_path(const codes_context *c); ecmwf-eccodes-python-b43a0f2/gribapi/bindings.py0000664000175000017500000000722315172126764022127 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # # Authors: # Alessandro Amici - B-Open - https://bopen.eu # Shahram Najm - ECMWF - https://www.ecmwf.int # from __future__ import absolute_import, division, print_function, unicode_literals import logging import os import pkgutil import sys import cffi __version__ = "2.47.0" LOG = logging.getLogger(__name__) _MAP = { "grib_api": "eccodes", "gribapi": "eccodes", } EXTENSIONS = { "darwin": ".dylib", "win32": ".dll", } # convenient way to trace the search for the library if int(os.environ.get("ECCODES_PYTHON_TRACE_LIB_SEARCH", "0")): LOG.setLevel(logging.DEBUG) LOG.addHandler(logging.StreamHandler()) def _lookup(name): return _MAP.get(name, name) def find_binary_libs(name): name = _lookup(name) env_var = "ECCODES_PYTHON_USE_FINDLIBS" if int(os.environ.get(env_var, "0")): LOG.debug(f"{name} lib search: {env_var} set, so using findlibs") elif os.name == "nt": LOG.debug(f"{name} lib search: trying to find binary wheel") here = os.path.dirname(__file__) # eccodes libs are actually in eccodes dir, not gribapi dir here = os.path.abspath(os.path.join(here, os.path.pardir, "eccodes")) extension = EXTENSIONS.get(sys.platform, ".so") for libdir in [here + ".libs", os.path.join(here, ".dylibs"), here]: LOG.debug(f"{name} lib search: looking in {libdir}") if not name.startswith("lib"): libnames = ["lib" + name, name] else: libnames = [name, name[3:]] if os.path.exists(libdir): for file in os.listdir(libdir): if file.endswith(extension): for libname in libnames: if libname == file.split("-")[0].split(".")[0]: foundlib = os.path.join(libdir, file) LOG.debug( f"{name} lib search: returning wheel library from {foundlib}" ) # force linking with the C++ 'glue' library try: from eccodes._eccodes import versions as _versions except ImportError as e: LOG.warn(str(e)) raise LOG.debug( f"{name} lib search: versions: %s", _versions() ) return foundlib LOG.debug( f"{name} lib search: did not find library from wheel; try to find as separate lib" ) # if did not find the binary wheel, or the env var is set, fall back to findlibs import findlibs foundlib = findlibs.find(name) LOG.debug(f"{name} lib search: findlibs returned {foundlib}") return foundlib library_path = find_binary_libs("eccodes") if library_path is None: raise RuntimeError("Cannot find the ecCodes library") # default encoding for ecCodes strings ENC = "ascii" ffi = cffi.FFI() CDEF = pkgutil.get_data(__name__, "grib_api.h") CDEF += pkgutil.get_data(__name__, "eccodes.h") ffi.cdef(CDEF.decode("utf-8").replace("\r", "\n")) lib = ffi.dlopen(library_path) ecmwf-eccodes-python-b43a0f2/gribapi/gribapi.py0000664000175000017500000024726715172126764021765 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # """ @package gribapi @brief This package is the \b Python 3 interface to ecCodes. It offers almost one to one bindings to the C API functions. The Python 3 interface to ecCodes uses the NumPy package as the container of choice for the possible arrays of values that can be encoded/decoded in and from a message. Numpy is a package used for scientific computing in Python and an efficient container for generic data. @em Requirements: - Python 3.9 or higher - NumPy """ import os import sys from functools import wraps import numpy as np from gribapi.errors import GribInternalError from . import errors from .bindings import ENC from .bindings import __version__ as bindings_version # noqa from .bindings import ffi, lib, library_path try: type(file) except NameError: import io file = io.IOBase long = int KEYTYPES = {1: int, 2: float, 3: str, 4: bytes} CODES_PRODUCT_ANY = 0 """ Generic product kind """ CODES_PRODUCT_GRIB = 1 """ GRIB product kind """ CODES_PRODUCT_BUFR = 2 """ BUFR product kind """ CODES_PRODUCT_METAR = 3 """ METAR product kind """ CODES_PRODUCT_GTS = 4 """ GTS product kind """ CODES_PRODUCT_TAF = 5 """ TAF product kind """ # Constants for 'missing' GRIB_MISSING_DOUBLE = -1e100 GRIB_MISSING_LONG = 2147483647 # Constants for GRIB nearest neighbour GRIB_NEAREST_SAME_GRID = 1 << 0 GRIB_NEAREST_SAME_DATA = 1 << 1 GRIB_NEAREST_SAME_POINT = 1 << 2 # Constants for feature selection CODES_FEATURES_ALL = 0 CODES_FEATURES_ENABLED = 1 CODES_FEATURES_DISABLED = 2 # ECC-1029: Disable function-arguments type-checking unless # environment variable is defined and equal to 1 enable_type_checks = os.environ.get("ECCODES_PYTHON_ENABLE_TYPE_CHECKS") == "1" # Function-arguments type-checking decorator # inspired from http://code.activestate.com/recipes/454322-type-checking-decorator/ # modified to support multiple allowed types and all types in the same decorator call # This returns a decorator. _params_ is the dict with the type specs def require(**_params_): """ The actual decorator. Receives the target function in _func_ """ def check_types(_func_, _params_=_params_): if not enable_type_checks: return _func_ @wraps(_func_) # The wrapper function. Replaces the target function and receives its args def modified(*args, **kw): arg_names = _func_.__code__.co_varnames # argnames, varargs, kwargs, defaults = inspect.getargspec(_func_) kw.update(zip(arg_names, args)) for name, allowed_types in _params_.items(): param = kw[name] if isinstance(allowed_types, type): allowed_types = (allowed_types,) assert any( [isinstance(param, type1) for type1 in allowed_types] ), "Parameter '%s' should be of type %s (instead of %s)" % ( name, " or ".join([t.__name__ for t in allowed_types]), type(param).__name__, ) return _func_(**kw) return modified return check_types # @cond class Bunch(dict): """ The collector of a bunch of named stuff :). """ def __init__(self, **kw): dict.__init__(self, kw) self.__dict__.update(kw) def __setitem__(self, key, value): dict.__setitem__(self, key, value) self.__dict__[key] = value def __setattr__(self, key, value): dict.__setitem__(self, key, value) self.__dict__[key] = value def __delitem__(self, key): dict.__delitem__(self, key) del self.__dict__[key] def __delattr__(self, key): dict.__delitem__(self, key) del self.__dict__[key] def __str__(self): state = [ "%s=%r" % (attribute, value) for (attribute, value) in self.__dict__.items() ] return "\n".join(state) # @endcond def err_last(func): @wraps(func) def wrapper(*args): err = ffi.new("int *") args += (err,) retval = func(*args) return err[0], retval return wrapper def get_handle(msgid): h = ffi.cast("grib_handle*", msgid) if h == ffi.NULL: raise errors.NullHandleError(f"get_handle: Bad message ID {msgid}") return h def put_handle(handle): if handle == ffi.NULL: raise errors.NullHandleError("put_handle: Bad message ID (handle is NULL)") return int(ffi.cast("size_t", handle)) def get_multi_handle(msgid): return ffi.cast("grib_multi_handle*", msgid) def put_multi_handle(handle): return int(ffi.cast("size_t", handle)) def get_index(indexid): return ffi.cast("grib_index*", indexid) def put_index(indexh): return int(ffi.cast("size_t", indexh)) def get_iterator(iterid): return ffi.cast("grib_iterator*", iterid) def put_iterator(iterh): return int(ffi.cast("size_t", iterh)) def get_grib_keys_iterator(iterid): return ffi.cast("grib_keys_iterator*", iterid) def put_grib_keys_iterator(iterh): return int(ffi.cast("size_t", iterh)) def get_bufr_keys_iterator(iterid): return ffi.cast("bufr_keys_iterator*", iterid) def put_bufr_keys_iterator(iterh): return int(ffi.cast("size_t", iterh)) # @cond @require(errid=int) def GRIB_CHECK(errid): """ Utility function checking the ecCodes error code and raising an error if that was set. @param errid the C interface error id to check @exception CodesInternalError """ if errid: errors.raise_grib_error(errid) # @endcond @require(fileobj=file) def gts_new_from_file(fileobj, headers_only=False): """ @brief Load in memory a GTS message from a file. The message can be accessed through its id and will be available\n until @ref codes_release is called.\n @param fileobj python file object @param headers_only whether or not to load the message with the headers only @return id of the GTS loaded in memory or None @exception CodesInternalError """ err, h = err_last(lib.codes_handle_new_from_file)( ffi.NULL, fileobj, CODES_PRODUCT_GTS ) if err: if err == lib.GRIB_END_OF_FILE: return None else: GRIB_CHECK(err) return None if h == ffi.NULL: return None else: return put_handle(h) @require(fileobj=file) def metar_new_from_file(fileobj, headers_only=False): """ @brief Load in memory a METAR message from a file. The message can be accessed through its id and will be available\n until @ref codes_release is called.\n @param fileobj python file object @param headers_only whether or not to load the message with the headers only @return id of the METAR loaded in memory or None @exception CodesInternalError """ err, h = err_last(lib.codes_handle_new_from_file)( ffi.NULL, fileobj, CODES_PRODUCT_METAR ) if err: if err == lib.GRIB_END_OF_FILE: return None else: GRIB_CHECK(err) return None if h == ffi.NULL: return None else: return put_handle(h) @require(fileobj=file, product_kind=int) def codes_new_from_file(fileobj, product_kind, headers_only=False): """ @brief Load in memory a message from a file for a given product. The message can be accessed through its id and will be available\n until @ref codes_release is called.\n \b Examples: \ref get_product_kind.py "get_product_kind.py" @param fileobj python file object @param product_kind one of CODES_PRODUCT_GRIB, CODES_PRODUCT_BUFR, CODES_PRODUCT_METAR or CODES_PRODUCT_GTS @param headers_only whether or not to load the message with the headers only @return id of the message loaded in memory or None @exception CodesInternalError """ if product_kind == CODES_PRODUCT_GRIB: return grib_new_from_file(fileobj, headers_only) if product_kind == CODES_PRODUCT_BUFR: return bufr_new_from_file(fileobj, headers_only) if product_kind == CODES_PRODUCT_METAR: return metar_new_from_file(fileobj, headers_only) if product_kind == CODES_PRODUCT_GTS: return gts_new_from_file(fileobj, headers_only) if product_kind == CODES_PRODUCT_ANY: return any_new_from_file(fileobj, headers_only) raise ValueError("Invalid product kind %d" % product_kind) @require(fileobj=file) def any_new_from_file(fileobj, headers_only=False): """ @brief Load in memory a message from a file. The message can be accessed through its id and will be available\n until @ref codes_release is called.\n \b Examples: \ref grib_get_keys.py "grib_get_keys.py" @param fileobj python file object @param headers_only whether or not to load the message with the headers only @return id of the message loaded in memory or None @exception CodesInternalError """ err, h = err_last(lib.codes_handle_new_from_file)( ffi.NULL, fileobj, CODES_PRODUCT_ANY ) if err: if err == lib.GRIB_END_OF_FILE: return None else: GRIB_CHECK(err) return None if h == ffi.NULL: return None else: return put_handle(h) @require(fileobj=file) def bufr_new_from_file(fileobj, headers_only=False): """ @brief Load in memory a BUFR message from a file. The message can be accessed through its id and will be available\n until @ref codes_release is called.\n \b Examples: \ref bufr_get_keys.py "bufr_get_keys.py" @param fileobj python file object @param headers_only whether or not to load the message with the headers only @return id of the BUFR loaded in memory or None @exception CodesInternalError """ err, h = err_last(lib.codes_handle_new_from_file)( ffi.NULL, fileobj, CODES_PRODUCT_BUFR ) if err: if err == lib.GRIB_END_OF_FILE: return None else: GRIB_CHECK(err) return None if h == ffi.NULL: return None else: return put_handle(h) @require(fileobj=file) def grib_new_from_file(fileobj, headers_only=False): """ @brief Load in memory a GRIB message from a file. The message can be accessed through its gribid and will be available\n until @ref codes_release is called.\n The message can be loaded headers only by using the headers_only argument. Default is to have the headers only option set to off (False). If set to on (True), data values will be skipped. This will result in a significant performance gain if one is only interested in browsing through messages to retrieve metadata. Any attempt to retrieve data values keys when in the headers only mode will result in a key not found error. \b Examples: \ref grib_get_keys.py "grib_get_keys.py" @param fileobj python file object @param headers_only whether or not to load the message with the headers only @return id of the grib loaded in memory or None @exception CodesInternalError """ err, h = err_last(lib.codes_handle_new_from_file)( ffi.NULL, fileobj, CODES_PRODUCT_GRIB ) if err: if err == lib.GRIB_END_OF_FILE: return None else: GRIB_CHECK(err) return None if h == ffi.NULL: return None else: return put_handle(h) @require(fileobj=file) def grib_count_in_file(fileobj): """ @brief Count the messages in a file. \b Examples: \ref count_messages.py "count_messages.py" @param fileobj python file object @return number of messages in the file @exception CodesInternalError """ num_p = ffi.new("int*") err = lib.grib_count_in_file(ffi.NULL, fileobj, num_p) GRIB_CHECK(err) return num_p[0] def grib_multi_support_on(): """ @brief Turn on the support for multiple fields in a single GRIB message. @exception CodesInternalError """ lib.grib_multi_support_on(ffi.NULL) def grib_multi_support_off(): """ @brief Turn off the support for multiple fields in a single GRIB message. @exception CodesInternalError """ lib.grib_multi_support_off(ffi.NULL) @require(fileobj=file) def grib_multi_support_reset_file(fileobj): """ @brief Reset file handle in multiple field support mode """ context = lib.grib_context_get_default() lib.grib_multi_support_reset_file(context, fileobj) @require(fileobj=file) def grib_context_set_logging(fileobj): """ @brief Send logging messages to fileobj """ context = lib.grib_context_get_default() lib.grib_context_set_logging_file(context, fileobj) @require(msgid=int) def grib_release(msgid): """ @brief Free the memory for the message referred to by msgid. \b Examples: \ref grib_get_keys.py "grib_get_keys.py" @param msgid id of the message loaded in memory @exception CodesInternalError """ h = get_handle(msgid) GRIB_CHECK(lib.grib_handle_delete(h)) @require(msgid=int, key=str) def grib_get_string(msgid, key): """ @brief Get the string value of a key from a message. @param msgid id of the message loaded in memory @param key key name @return string value of key @exception CodesInternalError """ length = grib_get_string_length(msgid, key) h = get_handle(msgid) values = ffi.new("char[]", length) length_p = ffi.new("size_t *", length) err = lib.grib_get_string(h, key.encode(ENC), values, length_p) GRIB_CHECK(err) return _decode_bytes(values, length_p[0]) @require(msgid=int, key=str, value=str) def grib_set_string(msgid, key, value): """ @brief Set the value for a string key in a message. @param msgid id of the message loaded in memory @param key key name @param value string value @exception CodesInternalError """ h = get_handle(msgid) bvalue = value.encode(ENC) length_p = ffi.new("size_t *", len(bvalue)) GRIB_CHECK(lib.grib_set_string(h, key.encode(ENC), bvalue, length_p)) def grib_gribex_mode_on(): """ @brief Turn on the compatibility mode with GRIBEX. @exception CodesInternalError """ lib.grib_gribex_mode_on(ffi.NULL) def grib_gribex_mode_off(): """ @brief Turn off the compatibility mode with GRIBEX. @exception CodesInternalError """ lib.grib_gribex_mode_off(ffi.NULL) @require(msgid=int, fileobj=file) def grib_write(msgid, fileobj): """ @brief Write a message to a file. \b Examples: \ref grib_set_keys.py "grib_set_keys.py" @param msgid id of the message loaded in memory @param fileobj python file object @exception CodesInternalError """ msg_bytes = grib_get_message(msgid) fileobj.write(msg_bytes) fileobj.flush() @require(multigribid=int, fileobj=file) def grib_multi_write(multigribid, fileobj): """ @brief Write a multi-field GRIB message to a file. \b Examples: \ref grib_multi_write.py "grib_multi_write.py" @param multigribid id of the multi-field grib loaded in memory @param fileobj python file object @exception CodesInternalError """ mh = get_multi_handle(multigribid) GRIB_CHECK(lib.grib_multi_handle_write(mh, fileobj)) @require(ingribid=int, startsection=int, multigribid=int) def grib_multi_append(ingribid, startsection, multigribid): """ @brief Append a single-field GRIB message to a multi-field GRIB message. Only the sections with section number greather or equal "startsection" are copied from the input single message to the multi-field output grib. \b Examples: \ref grib_multi_write.py "grib_multi_write.py" @param ingribid id of the input single-field GRIB @param startsection starting from startsection (included) all the sections are copied from the input single grib to the output multi-field grib @param multigribid id of the output multi-field GRIB @exception CodesInternalError """ h = get_handle(ingribid) mh = get_multi_handle(multigribid) GRIB_CHECK(lib.grib_multi_handle_append(h, startsection, mh)) @require(msgid=int, key=str) def grib_get_offset(msgid, key): """ @brief Get the byte offset of a key. If several keys of the same name are present, the offset of the last one is returned @param msgid id of the message loaded in memory @param key name of the key @exception CodesInternalError """ h = get_handle(msgid) offset_p = ffi.new("size_t*") err = lib.grib_get_offset(h, key.encode(ENC), offset_p) GRIB_CHECK(err) return offset_p[0] @require(msgid=int, key=str) def grib_get_size(msgid, key): """ @brief Get the size of a key. Return 1 for scalar keys and >1 for array keys \b Examples: \ref grib_get_keys.py "grib_get_keys.py",\ref count_messages.py "count_messages.py" @param msgid id of the message loaded in memory @param key name of the key @exception CodesInternalError """ h = get_handle(msgid) size_p = ffi.new("size_t*") err = lib.grib_get_size(h, key.encode(ENC), size_p) GRIB_CHECK(err) return size_p[0] @require(msgid=int, key=str) def grib_get_string_length(msgid, key): """ @brief Get the length of the string version of a key. @param msgid id of the message loaded in memory @param key name of the key @exception CodesInternalError """ h = get_handle(msgid) size = ffi.new("size_t *") err = lib.grib_get_length(h, key.encode(ENC), size) GRIB_CHECK(err) return size[0] @require(iterid=int) def grib_skip_computed(iterid): """ @brief Skip the computed keys in a keys iterator. The computed keys are not coded in the message, they are computed from other keys. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_COMPUTED) @require(iterid=int) def grib_skip_coded(iterid): """ @brief Skip the coded keys in a keys iterator. The coded keys are actually coded in the message. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_CODED) @require(iterid=int) def grib_skip_edition_specific(iterid): """ @brief Skip the edition specific keys in a keys iterator. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_EDITION_SPECIFIC) @require(iterid=int) def grib_skip_duplicates(iterid): """ @brief Skip the duplicate keys in a keys iterator. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_DUPLICATES) @require(iterid=int) def grib_skip_read_only(iterid): """ @brief Skip the read_only keys in a keys iterator. Read only keys cannot be set. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_READ_ONLY) @require(iterid=int) def grib_skip_function(iterid): """ @brief Skip the function keys in a keys iterator. @see grib_keys_iterator_new,grib_keys_iterator_next,grib_keys_iterator_delete @param iterid keys iterator id @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_set_flags(gki, lib.GRIB_KEYS_ITERATOR_SKIP_FUNCTION) @require(gribid=int, mode=int) def grib_iterator_new(gribid, mode): """ @brief Create a new geoiterator for the given GRIB message, using its geometry and values. The geoiterator can be used to go through all the geopoints in a GRIB message and retrieve the values corresponding to those geopoints. \b Examples: \ref grib_iterator.py "grib_iterator.py" @param gribid id of the GRIB loaded in memory @param mode flags for future use @return geoiterator id """ h = get_handle(gribid) err, iterid = err_last(lib.grib_iterator_new)(h, mode) GRIB_CHECK(err) return put_iterator(iterid) @require(iterid=int) def grib_iterator_delete(iterid): """ @brief Delete a geoiterator and free memory. \b Examples: \ref grib_iterator.py "grib_iterator.py" @param iterid geoiterator id @exception CodesInternalError """ ih = get_iterator(iterid) GRIB_CHECK(lib.grib_iterator_delete(ih)) @require(iterid=int) def grib_iterator_next(iterid): """ @brief Retrieve the next value from a geoiterator. \b Examples: \ref grib_iterator.py "grib_iterator.py" @param iterid geoiterator id @return tuple with the latitude, longitude and value @exception CodesInternalError """ iterh = get_iterator(iterid) lat_p = ffi.new("double*") lon_p = ffi.new("double*") value_p = ffi.new("double*") retval = lib.grib_iterator_next(iterh, lat_p, lon_p, value_p) if retval == 0: # No more data available. End of iteration return [] else: return (lat_p[0], lon_p[0], value_p[0]) @require(msgid=int) def grib_keys_iterator_new(msgid, namespace=None): """ @brief Create a new iterator on the keys. The keys iterator can be navigated to give all the key names which can then be used to get or set the key values with \ref grib_get or \ref grib_set. The set of keys returned can be controlled with the input variable namespace or using the functions \ref grib_skip_read_only, \ref grib_skip_duplicates, \ref grib_skip_coded,\ref grib_skip_computed. If namespace is a non empty string only the keys belonging to that namespace are returned. Example namespaces are "ls" (to get the same default keys as the grib_ls) and "mars" to get the keys used by mars. \b Examples: \ref grib_iterator.py "grib_iterator.py" @param msgid id of the message loaded in memory @param namespace the namespace of the keys to search for (all the keys if None) @return keys iterator id to be used in the keys iterator functions @exception CodesInternalError """ h = get_handle(msgid) bnamespace = ffi.NULL if namespace is None else namespace.encode(ENC) iterid = lib.grib_keys_iterator_new(h, 0, bnamespace) return put_grib_keys_iterator(iterid) @require(iterid=int) def grib_keys_iterator_next(iterid): """ @brief Advance to the next keys iterator value. \b Examples: \ref grib_keys_iterator.py "grib_keys_iterator.py" @param iterid keys iterator id created with @ref grib_keys_iterator_new @exception CodesInternalError """ kih = get_grib_keys_iterator(iterid) res = lib.grib_keys_iterator_next(kih) # res is 0 or 1 return res @require(iterid=int) def grib_keys_iterator_delete(iterid): """ @brief Delete a keys iterator and free memory. \b Examples: \ref grib_keys_iterator.py "grib_keys_iterator.py" @param iterid keys iterator id created with @ref grib_keys_iterator_new @exception CodesInternalError """ kih = get_grib_keys_iterator(iterid) lib.grib_keys_iterator_delete(kih) @require(iterid=int) def grib_keys_iterator_get_name(iterid): """ @brief Get the name of a key from a keys iterator. \b Examples: \ref grib_keys_iterator.py "grib_keys_iterator.py" @param iterid keys iterator id created with @ref grib_keys_iterator_new @return key name to be retrieved @exception CodesInternalError """ kih = get_grib_keys_iterator(iterid) name = lib.grib_keys_iterator_get_name(kih) return ffi.string(name).decode(ENC) @require(iterid=int) def grib_keys_iterator_rewind(iterid): """ @brief Rewind a keys iterator. @param iterid keys iterator id created with @ref grib_keys_iterator_new @exception CodesInternalError """ gki = get_grib_keys_iterator(iterid) GRIB_CHECK(lib.grib_keys_iterator_rewind(gki)) # BUFR keys iterator @require(bufrid=int) def codes_bufr_keys_iterator_new(bufrid): """ @brief Create a new iterator on the BUFR keys. The keys iterator can be navigated to give all the key names which can then be used to get or set the key values with \ref codes_get or \ref codes_set. \b Examples: \ref bufr_keys_iterator.py "bufr_keys_iterator.py" @param bufrid id of the BUFR message loaded in memory @return keys iterator id to be used in the bufr keys iterator functions @exception CodesInternalError """ h = get_handle(bufrid) bki = lib.codes_bufr_keys_iterator_new(h, 0) if bki == ffi.NULL: raise errors.InvalidKeysIteratorError( f"BUFR keys iterator failed bufrid={bufrid}" ) return put_bufr_keys_iterator(bki) @require(iterid=int) def codes_bufr_keys_iterator_next(iterid): """ @brief Advance to the next BUFR keys iterator value. \b Examples: \ref bufr_keys_iterator.py "bufr_keys_iterator.py" @param iterid keys iterator id created with @ref codes_bufr_keys_iterator_new @exception CodesInternalError """ bki = get_bufr_keys_iterator(iterid) res = lib.codes_bufr_keys_iterator_next(bki) # res is 0 or 1 return res @require(iterid=int) def codes_bufr_keys_iterator_delete(iterid): """ @brief Delete a BUFR keys iterator and free memory. \b Examples: \ref bufr_keys_iterator.py "bufr_keys_iterator.py" @param iterid keys iterator id created with @ref codes_bufr_keys_iterator_new @exception CodesInternalError """ bki = get_bufr_keys_iterator(iterid) GRIB_CHECK(lib.codes_bufr_keys_iterator_delete(bki)) @require(iterid=int) def codes_bufr_keys_iterator_get_name(iterid): """ @brief Get the name of a key from a BUFR keys iterator. \b Examples: \ref bufr_keys_iterator.py "bufr_keys_iterator.py" @param iterid keys iterator id created with @ref codes_bufr_keys_iterator_new @return key name to be retrieved @exception CodesInternalError """ bki = get_bufr_keys_iterator(iterid) name = lib.codes_bufr_keys_iterator_get_name(bki) return ffi.string(name).decode(ENC) @require(iterid=int) def codes_bufr_keys_iterator_rewind(iterid): """ @brief Rewind a BUFR keys iterator. @param iterid keys iterator id created with @ref codes_bufr_keys_iterator_new @exception CodesInternalError """ bki = get_bufr_keys_iterator(iterid) GRIB_CHECK(lib.codes_bufr_keys_iterator_rewind(bki)) @require(msgid=int, key=str) def grib_get_long(msgid, key): """ @brief Get the value of a key in a message as an integer. @param msgid id of the message loaded in memory @param key key name @return value of key as int @exception CodesInternalError """ h = get_handle(msgid) value_p = ffi.new("long*") err = lib.grib_get_long(h, key.encode(ENC), value_p) GRIB_CHECK(err) return value_p[0] @require(msgid=int, key=str) def grib_get_double(msgid, key): """ @brief Get the value of a key in a message as a float. @param msgid id of the message loaded in memory @param key key name @return value of key as float @exception CodesInternalError """ h = get_handle(msgid) value_p = ffi.new("double*") err = lib.grib_get_double(h, key.encode(ENC), value_p) GRIB_CHECK(err) return value_p[0] @require(msgid=int, key=str, value=(int, float, np.float16, np.float32, np.int64, str)) def grib_set_long(msgid, key, value): """ @brief Set the integer value for a key in a message. A TypeError exception will be thrown if value cannot be represented as an integer. @param msgid id of the message loaded in memory @param key key name @param value value to set @exception CodesInternalError,TypeError """ try: value = int(value) except (ValueError, TypeError): raise TypeError("Invalid type") if value > sys.maxsize: raise ValueError("Value too large") h = get_handle(msgid) GRIB_CHECK(lib.grib_set_long(h, key.encode(ENC), value)) @require(msgid=int, key=str, value=(int, float, np.float16, np.float32, str)) def grib_set_double(msgid, key, value): """ @brief Set the double value for a key in a message. A TypeError exception will be thrown if value cannot be represented as a float. @param msgid id of the message loaded in memory @param key key name @param value float value to set @exception CodesInternalError,TypeError """ try: value = float(value) except (ValueError, TypeError): raise TypeError("Invalid type") h = get_handle(msgid) GRIB_CHECK(lib.grib_set_double(h, key.encode(ENC), value)) @require(samplename=str, product_kind=int) def codes_new_from_samples(samplename, product_kind): """ @brief Create a new valid message from a sample for a given product. The available samples are picked up from the directory pointed to by the environment variable ECCODES_SAMPLES_PATH. To know where the samples directory is run the codes_info tool.\n \b Examples: \ref grib_samples.py "grib_samples.py" @param samplename name of the sample to be used @param product_kind CODES_PRODUCT_GRIB or CODES_PRODUCT_BUFR @return id of the message loaded in memory @exception CodesInternalError """ if product_kind == CODES_PRODUCT_GRIB: return grib_new_from_samples(samplename) if product_kind == CODES_PRODUCT_BUFR: return codes_bufr_new_from_samples(samplename) if product_kind == CODES_PRODUCT_ANY: return codes_any_new_from_samples(samplename) raise ValueError("Invalid product kind %d" % product_kind) @require(samplename=str) def grib_new_from_samples(samplename): """ @brief Create a new valid GRIB message from a sample. The available samples are picked up from the directory pointed to by the environment variable ECCODES_SAMPLES_PATH. To know where the samples directory is run the codes_info tool.\n \b Examples: \ref grib_samples.py "grib_samples.py" @param samplename name of the sample to be used @return id of the message loaded in memory @exception CodesInternalError """ h = lib.grib_handle_new_from_samples(ffi.NULL, samplename.encode(ENC)) if h == ffi.NULL: raise errors.FileNotFoundError(f"grib_new_from_samples failed: {samplename}") return put_handle(h) @require(samplename=str) def codes_bufr_new_from_samples(samplename): """ @brief Create a new valid BUFR message from a sample. The available samples are picked up from the directory pointed to by the environment variable ECCODES_SAMPLES_PATH. To know where the samples directory is run the codes_info tool.\n \b Examples: \ref bufr_copy_data.py "bufr_copy_data.py" @param samplename name of the BUFR sample to be used @return id of the message loaded in memory @exception CodesInternalError """ h = lib.codes_bufr_handle_new_from_samples(ffi.NULL, samplename.encode(ENC)) if h == ffi.NULL: raise errors.FileNotFoundError(f"bufr_new_from_samples failed: {samplename}") return put_handle(h) @require(samplename=str) def codes_any_new_from_samples(samplename): """ @brief Create a new valid message from a sample. The available samples are picked up from the directory pointed to by the environment variable ECCODES_SAMPLES_PATH. To know where the samples directory is run the codes_info tool.\n @param samplename name of the sample to be used @return id of the message loaded in memory @exception CodesInternalError """ h = lib.codes_handle_new_from_samples(ffi.NULL, samplename.encode(ENC)) if h == ffi.NULL: raise errors.FileNotFoundError(f"any_new_from_samples failed: {samplename}") return put_handle(h) @require(msgid_src=int, msgid_dst=int) def codes_bufr_copy_data(msgid_src, msgid_dst): """ @brief Copy data values from a BUFR message msgid_src to another message msgid_dst Copies all the values in the data section that are present in the same position in the data tree and with the same number of values to the output handle. @param msgid_src id of the message from which the data are copied @param msgid_dst id of the message to which the data are copied @return id of new message @exception CodesInternalError """ h_src = get_handle(msgid_src) h_dst = get_handle(msgid_dst) err = lib.codes_bufr_copy_data(h_src, h_dst) GRIB_CHECK(err) return msgid_dst @require(msgid_src=int) def grib_clone(msgid_src, headers_only=False): r""" @brief Create a copy of a message. Create a copy of a given message (\em msgid_src) resulting in a new message in memory (\em msgid_dest) identical to the original one. If the headers_only option is enabled, the clone will not contain the Bitmap and Data sections \b Examples: \ref grib_clone.py "grib_clone.py" @param msgid_src id of message to be cloned @param headers_only whether or not to clone the message with the headers only @return id of clone @exception CodesInternalError """ h_src = get_handle(msgid_src) if headers_only: h_dest = lib.grib_handle_clone_headers_only(h_src) else: h_dest = lib.grib_handle_clone(h_src) if h_dest == ffi.NULL: raise errors.MessageInvalidError("clone failed") return put_handle(h_dest) @require(msgid=int, key=str) def grib_set_double_array(msgid, key, inarray): """ @brief Set the value of the key to a double array. The input array can be a numpy.ndarray or a python sequence like tuple, list, array, ... The elements of the input sequence need to be convertible to a double. @param msgid id of the message loaded in memory @param key key name @param inarray tuple,list,array,numpy.ndarray @exception CodesInternalError """ h = get_handle(msgid) length = len(inarray) if isinstance(inarray, np.ndarray): nd = inarray # ECC-1555 length = inarray.size if length > 0: if not isinstance(nd[0], float): # ECC-1042: input array of integers nd = nd.astype(float) # ECC-1007: Could also call numpy.ascontiguousarray if not inarray.flags["C_CONTIGUOUS"]: nd = nd.copy(order="C") a = ffi.cast("double*", nd.ctypes.data) else: a = inarray GRIB_CHECK(lib.grib_set_double_array(h, key.encode(ENC), a, length)) @require(msgid=int, key=str) def grib_get_double_array(msgid, key): """ @brief Get the value of the key as a NumPy array of doubles. @param msgid id of the message loaded in memory @param key key name @return numpy.ndarray @exception CodesInternalError """ h = get_handle(msgid) nval = grib_get_size(msgid, key) length_p = ffi.new("size_t*", nval) arr = np.empty((nval,), dtype="float64") vals_p = ffi.cast("double *", arr.ctypes.data) err = lib.grib_get_double_array(h, key.encode(ENC), vals_p, length_p) GRIB_CHECK(err) return arr @require(msgid=int, key=str) def grib_get_float_array(msgid, key): """ @brief Get the value of the key as a NumPy array of floats. @param msgid id of the message loaded in memory @param key key name @return numpy.ndarray @exception CodesInternalError """ h = get_handle(msgid) nval = grib_get_size(msgid, key) length_p = ffi.new("size_t*", nval) arr = np.empty((nval,), dtype="float32") vals_p = ffi.cast("float *", arr.ctypes.data) err = lib.grib_get_float_array(h, key.encode(ENC), vals_p, length_p) GRIB_CHECK(err) return arr # See ECC-1246 def _decode_bytes(binput, maxlen=None): if maxlen: a_str = ffi.string(binput, maxlen) else: a_str = ffi.string(binput) # Check for a MISSING value i.e., each character has all its bits=1 if all(x == 255 for x in a_str): return "" # Replace with a suitable replacement character rather than throw an exception return a_str.decode(ENC, "replace") @require(msgid=int, key=str) def grib_get_string_array(msgid, key): """ @brief Get the value of the key as a list of strings. @param msgid id of the message loaded in memory @param key key name @return list @exception CodesInternalError """ length = grib_get_string_length(msgid, key) size = grib_get_size(msgid, key) h = get_handle(msgid) values_keepalive = [ffi.new("char[]", length) for _ in range(size)] values = ffi.new("char*[]", values_keepalive) size_p = ffi.new("size_t *", size) err = lib.grib_get_string_array(h, key.encode(ENC), values, size_p) GRIB_CHECK(err) return [_decode_bytes(values[i]) for i in range(size_p[0])] @require(msgid=int, key=str) def grib_set_string_array(msgid, key, inarray): """ @brief Set the value of the key to a string array. The input array can be a python sequence like tuple, list, array, ... The elements of the input sequence need to be convertible to a string. @param msgid id of the message loaded in memory @param key key name @param inarray tuple,list,array @exception CodesInternalError """ h = get_handle(msgid) size = len(inarray) # See https://cffi.readthedocs.io/en/release-1.3/using.html values_keepalive = [ffi.new("char[]", s.encode(ENC)) for s in inarray] values_p = ffi.new("const char *[]", values_keepalive) GRIB_CHECK(lib.grib_set_string_array(h, key.encode(ENC), values_p, size)) @require(msgid=int, key=str) def grib_set_long_array(msgid, key, inarray): """ @brief Set the value of the key to an integer array. The input array can be a numpy.ndarray or a python sequence like tuple, list, array, ... The elements of the input sequence need to be convertible to an int. @param msgid id of the message loaded in memory @param key key name @param inarray tuple,list,python array,numpy.ndarray @exception CodesInternalError """ h = get_handle(msgid) if isinstance(inarray, np.ndarray): inarray = inarray.tolist() GRIB_CHECK(lib.grib_set_long_array(h, key.encode(ENC), inarray, len(inarray))) @require(msgid=int, key=str) def grib_get_long_array(msgid, key): """ @brief Get the integer array of values for a key from a message. @param msgid id of the message loaded in memory @param key key name @return numpy.ndarray @exception CodesInternalError """ # See ECC-1113 sizeof_long = ffi.sizeof("long") dataType = "int64" if sizeof_long == 4: dataType = "int32" h = get_handle(msgid) nval = grib_get_size(msgid, key) length_p = ffi.new("size_t*", nval) arr = np.empty((nval,), dtype=dataType) vals_p = ffi.cast("long *", arr.ctypes.data) err = lib.grib_get_long_array(h, key.encode(ENC), vals_p, length_p) GRIB_CHECK(err) return arr def grib_multi_new(): """ @brief Create a new multi-field GRIB message and return its id. \b Examples: \ref grib_multi_write.py "grib_multi_write.py" @return id of the multi-field message @exception CodesInternalError """ mgid = lib.grib_multi_handle_new(ffi.NULL) if mgid == ffi.NULL: raise errors.InvalidGribError("GRIB multi new failed") return put_multi_handle(mgid) @require(gribid=int) def grib_multi_release(gribid): """ @brief Release a multi-field message from memory. \b Examples: \ref grib_multi_write.py "grib_multi_write.py" @param gribid id of the multi-field we want to release the memory for @exception CodesInternalError """ mh = get_multi_handle(gribid) GRIB_CHECK(lib.grib_multi_handle_delete(mh)) @require(gribid_src=int, namespace=str, gribid_dest=int) def grib_copy_namespace(gribid_src, namespace, gribid_dest): """ @brief Copy the value of all the keys belonging to a namespace from the source message to the destination message. @param gribid_src id of source message @param gribid_dest id of destination message @param namespace namespace to be copied @exception CodesInternalError """ h_src = get_handle(gribid_src) h_dest = get_handle(gribid_dest) GRIB_CHECK(lib.grib_copy_namespace(h_src, namespace.encode(ENC), h_dest)) @require(filename=str, keys=(tuple, list)) def grib_index_new_from_file(filename, keys): """ @brief Create a new index from a file. \b Examples: \ref grib_index.py "grib_index.py" @param filename path of the file to index on @param keys sequence of keys to index on. The type of the key can be explicitly declared appending :l for long (or alternatively :i), :d for double, :s for string to the key name. @return index id @exception CodesInternalError """ ckeys = ",".join(keys) err, iid = err_last(lib.grib_index_new_from_file)( ffi.NULL, filename.encode(ENC), ckeys.encode(ENC) ) GRIB_CHECK(err) return put_index(iid) @require(indexid=int, filename=str) def grib_index_add_file(indexid, filename): """ @brief Add a file to an index. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of the index to add the file to @param filename path of the file to be added to index @exception CodesInternalError """ iid = get_index(indexid) err = lib.grib_index_add_file(iid, filename.encode(ENC)) GRIB_CHECK(err) @require(indexid=int) def grib_index_release(indexid): """ @brief Delete an index. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. @exception CodesInternalError """ ih = get_index(indexid) lib.grib_index_delete(ih) @require(indexid=int, key=str) def grib_index_get_size(indexid, key): """ @brief Get the number of distinct values for the index key. The key must belong to the index. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created on the given key. @param key key for which the number of values is computed @return number of distinct values for key in index @exception CodesInternalError """ ih = get_index(indexid) size_p = ffi.new("size_t*") err = lib.grib_index_get_size(ih, key.encode(ENC), size_p) GRIB_CHECK(err) return size_p[0] @require(indexid=int, key=str) def grib_index_get_long(indexid, key): """ @brief Get the distinct values of the key in argument contained in the index. The key must belong to the index. This function is used when the type of the key was explicitly defined as long or when the native type of the key is long. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key for which the values are returned @return tuple with values of key in index @exception CodesInternalError """ nval = grib_index_get_size(indexid, key) ih = get_index(indexid) values_p = ffi.new("long[]", nval) size_p = ffi.new("size_t *", nval) err = lib.grib_index_get_long(ih, key.encode(ENC), values_p, size_p) GRIB_CHECK(err) return tuple(int(values_p[i]) for i in range(size_p[0])) @require(indexid=int, key=str) def grib_index_get_string(indexid, key): """ @brief Get the distinct values of the key in argument contained in the index. The key must belong to the index. This function is used when the type of the key was explicitly defined as string or when the native type of the key is string. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key for which the values are returned @return tuple with values of key in index @exception CodesInternalError """ nval = grib_index_get_size(indexid, key) ih = get_index(indexid) max_val_size = 1024 values_keepalive = [ffi.new("char[]", max_val_size) for _ in range(nval)] values_p = ffi.new("const char *[]", values_keepalive) size_p = ffi.new("size_t *", max_val_size) err = lib.grib_index_get_string(ih, key.encode(ENC), values_p, size_p) GRIB_CHECK(err) return tuple(ffi.string(values_p[i]).decode(ENC) for i in range(size_p[0])) @require(indexid=int, key=str) def grib_index_get_double(indexid, key): """ @brief Get the distinct values of the key in argument contained in the index. The key must belong to the index. This function is used when the type of the key was explicitly defined as double or when the native type of the key is double. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key for which the values are returned @return tuple with values of key in index @exception CodesInternalError """ nval = grib_index_get_size(indexid, key) ih = get_index(indexid) values_p = ffi.new("double[]", nval) size_p = ffi.new("size_t *", nval) err = lib.grib_index_get_double(ih, key.encode(ENC), values_p, size_p) GRIB_CHECK(err) return tuple(values_p[i] for i in range(size_p[0])) @require(indexid=int, key=str, value=int) def grib_index_select_long(indexid, key, value): """ @brief Select the message subset with key==value. The value is an integer. The key must have been created with integer type or have integer as native type if the type was not explicitly defined in the index creation. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key to be selected @param value value of the key to select @exception CodesInternalError """ iid = get_index(indexid) GRIB_CHECK(lib.grib_index_select_long(iid, key.encode(ENC), value)) @require(indexid=int, key=str, value=float) def grib_index_select_double(indexid, key, value): """ @brief Select the message subset with key==value. The value is a double. The key must have been created with integer type or have integer as native type if the type was not explicitly defined in the index creation. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key to be selected @param value value of the key to select @exception CodesInternalError """ iid = get_index(indexid) GRIB_CHECK(lib.grib_index_select_double(iid, key.encode(ENC), value)) @require(indexid=int, key=str, value=str) def grib_index_select_string(indexid, key, value): """ @brief Select the message subset with key==value. The value is an integer. The key must have been created with string type or have string as native type if the type was not explicitly defined in the index creation. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key to be selected @param value value of the key to select @exception CodesInternalError """ ih = get_index(indexid) GRIB_CHECK(lib.grib_index_select_string(ih, key.encode(ENC), value.encode(ENC))) @require(indexid=int) def grib_new_from_index(indexid): """ @brief Create a new handle from an index after having selected the key values. All the keys belonging to the index must be selected before calling this function. Successive calls to this function will return all the handles compatible with the constraints defined selecting the values of the index keys. The message can be accessed through its gribid and will be available until @ref grib_release is called. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. @return id of the message loaded in memory or None if end of index @exception CodesInternalError """ ih = get_index(indexid) err, h = err_last(lib.grib_handle_new_from_index)(ih) if h == ffi.NULL or err == lib.GRIB_END_OF_INDEX: return None elif err: GRIB_CHECK(err) return None else: return put_handle(h) @require(msgid=int) def grib_get_message_size(msgid): """ @brief Get the size of a coded message. @param msgid id of the message loaded in memory @return size in bytes of the message @exception CodesInternalError """ h = get_handle(msgid) size_p = ffi.new("size_t*") err = lib.grib_get_message_size(h, size_p) GRIB_CHECK(err) return size_p[0] @require(msgid=int) def grib_get_message_offset(msgid): """ @brief Get the offset of a coded message. @param msgid id of the message loaded in memory @return offset in bytes of the message @exception CodesInternalError """ h = get_handle(msgid) offset_p = ffi.new("long int*") err = lib.grib_get_message_offset(h, offset_p) GRIB_CHECK(err) return offset_p[0] @require(msgid=int, key=str, index=int) def grib_get_double_element(msgid, key, index): """ @brief Get as double the i-th element of the "key" array. @param msgid id of the message loaded in memory @param key the key to be searched @param index zero based index of value to retrieve @return value @exception CodesInternalError """ h = get_handle(msgid) value_p = ffi.new("double*") err = lib.grib_get_double_element(h, key.encode(ENC), index, value_p) GRIB_CHECK(err) return value_p[0] @require(msgid=int, key=str, indexes=(list, tuple)) def grib_get_double_elements(msgid, key, indexes): """ @brief Get as double array the elements of the "key" array whose indexes are listed in the input array. @param msgid id of the message loaded in memory @param key the key to be searched @param indexes list or tuple of indexes @return numpy.ndarray @exception CodesInternalError """ nidx = len(indexes) h = get_handle(msgid) i_p = ffi.new("int[]", indexes) value_p = ffi.new("double[]", nidx) err = lib.grib_get_double_elements(h, key.encode(ENC), i_p, nidx, value_p) GRIB_CHECK(err) return [float(v) for v in value_p] @require(msgid=int, key=str) def grib_get_elements(msgid, key, indexes): """ @brief Retrieve the elements of the key array for the indexes specified in the input. @param msgid id of the message loaded in memory @param key the key to be searched @param indexes single index or a list of indexes @return numpy.ndarray containing the values of key for the given indexes @exception CodesInternalError """ try: iter(indexes) except TypeError: indexes = (indexes,) return grib_get_double_elements(msgid, key, indexes) @require(msgid=int, key=str) def grib_set_missing(msgid, key): """ @brief Set as missing the value for a key in a GRIB message. It can be used to set a missing value in the GRIB header but not in the data values. \b Examples: \ref grib_set_missing.py "grib_set_missing.py" @param msgid id of the message loaded in memory @param key key name @exception CodesInternalError """ h = get_handle(msgid) GRIB_CHECK(lib.grib_set_missing(h, key.encode(ENC))) @require(gribid=int) def grib_set_key_vals(gribid, key_vals): """ Set the values for several keys at once in a grib message. @param gribid id of the grib loaded in memory @param key_vals can be a string, list/tuple or dictionary. If a string, format must be "key1=val1,key2=val2" If a list, it must contain strings of the form "key1=val1" @exception GribInternalError """ if len(key_vals) == 0: raise errors.InvalidKeyValueError("Empty key/values argument") key_vals_str = "" if isinstance(key_vals, str): # Plain string. We need to do a DEEP copy so as not to change the original key_vals_str = "".join(key_vals) elif isinstance(key_vals, (list, tuple)): # A list of key=val strings for kv in key_vals: if not isinstance(kv, str): raise TypeError("Invalid list/tuple element type '%s'" % kv) if "=" not in str(kv): raise GribInternalError("Invalid list/tuple element format '%s'" % kv) if len(key_vals_str) > 0: key_vals_str += "," key_vals_str += kv elif isinstance(key_vals, dict): # A dictionary mapping keys to values for key in key_vals.keys(): if len(key_vals_str) > 0: key_vals_str += "," key_vals_str += key + "=" + str(key_vals[key]) else: raise TypeError("Invalid argument type") h = get_handle(gribid) values = ffi.new("grib_values[]", 1024) count_p = ffi.new("int*", 1000) err = lib.parse_keyval_string( ffi.NULL, key_vals_str.encode(ENC), 1, lib.GRIB_TYPE_UNDEFINED, values, count_p ) GRIB_CHECK(err) err = lib.grib_set_values(h, values, count_p[0]) GRIB_CHECK(err) @require(msgid=int, key=str) def grib_is_missing(msgid, key): """ @brief Check if the value of a key is MISSING. The value of a key is considered as MISSING when all the bits assigned to it are set to 1. This is different from the actual key missing from the grib message. The value of a key MISSING has a special significance and that can be read about in the WMO documentation. @param msgid id of the message loaded in memory @param key key name @return 0->not missing, 1->missing @exception CodesInternalError """ h = get_handle(msgid) err, value = err_last(lib.grib_is_missing)(h, key.encode(ENC)) GRIB_CHECK(err) return value @require(msgid=int, key=str) def grib_is_defined(msgid, key): """ @brief Check if a key is defined (exists) @param msgid id of the message loaded in memory @param key key name @return 0->not defined, 1->defined @exception GribInternalError """ h = get_handle(msgid) return lib.grib_is_defined(h, key.encode(ENC)) @require(gribid=int, inlat=(int, float), inlon=(int, float)) def grib_find_nearest(gribid, inlat, inlon, is_lsm=False, npoints=1): """ @brief Find the nearest grid point or the nearest four grid points to a given latitude/longitude. The number of nearest points returned can be controled through the npoints function argument. \b Examples: \ref grib_nearest.py "grib_nearest.py" @param gribid id of the GRIB message loaded in memory @param inlat latitude of the point @param inlon longitude of the point @param is_lsm True if the nearest land point is required otherwise False. @param npoints 1 or 4 nearest grid points @return (npoints*(outlat,outlon,value,dist,index)) @exception CodesInternalError """ h = get_handle(gribid) inlats_p = ffi.new("double*", inlat) inlons_p = ffi.new("double*", inlon) if npoints == 1: outlats_p = ffi.new("double[]", 1) outlons_p = ffi.new("double[]", 1) values_p = ffi.new("double[]", 1) distances_p = ffi.new("double[]", 1) indexes_p = ffi.new("int[]", 1) num_input_points = 1 # grib_nearest_find_multiple always returns ONE nearest neighbour err = lib.grib_nearest_find_multiple( h, is_lsm, inlats_p, inlons_p, num_input_points, outlats_p, outlons_p, values_p, distances_p, indexes_p, ) GRIB_CHECK(err) elif npoints == 4: outlats_p = ffi.new("double[]", npoints) outlons_p = ffi.new("double[]", npoints) values_p = ffi.new("double[]", npoints) distances_p = ffi.new("double[]", npoints) indexes_p = ffi.new("int[]", npoints) size = ffi.new("size_t *") err, nid = err_last(lib.grib_nearest_new)(h) GRIB_CHECK(err) flags = 0 err = lib.grib_nearest_find( nid, h, inlat, inlon, flags, outlats_p, outlons_p, values_p, distances_p, indexes_p, size, ) GRIB_CHECK(err) GRIB_CHECK(lib.grib_nearest_delete(nid)) else: raise ValueError("Invalid value for npoints. Expecting 1 or 4.") result = [] for i in range(npoints): result.append( Bunch( lat=outlats_p[i], lon=outlons_p[i], value=values_p[i], distance=distances_p[i], index=indexes_p[i], ) ) return tuple(result) @require(gribid=int, is_lsm=bool) def grib_find_nearest_multiple(gribid, is_lsm, inlats, inlons): """ @brief Find the nearest point of a set of points whose latitudes and longitudes are given in the inlats, inlons arrays respectively @param gribid id of the GRIB message loaded in memory @param is_lsm True if the nearest land point is required otherwise False. @param inlats latitudes of the points to search for @param inlons longitudes of the points to search for @return (npoints*(outlat,outlon,value,dist,index)) @exception CodesInternalError """ h = get_handle(gribid) npoints = len(inlats) if len(inlons) != npoints: raise ValueError( "grib_find_nearest_multiple: input arrays inlats and inlons must have the same length" ) inlats_p = ffi.new("double[]", inlats) inlons_p = ffi.new("double[]", inlons) outlats_p = ffi.new("double[]", npoints) outlons_p = ffi.new("double[]", npoints) values_p = ffi.new("double[]", npoints) distances_p = ffi.new("double[]", npoints) indexes_p = ffi.new("int[]", npoints) # Note: grib_nearest_find_multiple always returns ONE nearest neighbour err = lib.grib_nearest_find_multiple( h, is_lsm, inlats_p, inlons_p, npoints, outlats_p, outlons_p, values_p, distances_p, indexes_p, ) GRIB_CHECK(err) result = [] for i in range(npoints): result.append( Bunch( lat=outlats_p[i], lon=outlons_p[i], value=values_p[i], distance=distances_p[i], index=indexes_p[i], ) ) return tuple(result) @require(msgid=int, key=str) def grib_get_native_type(msgid, key): """ @brief Retrieve the native type of a key. Possible values can be int, float or str. @param msgid id of the message loaded in memory @param key key we want to find out the type for @return type of key given as input or None if not determined @exception CodesInternalError """ h = get_handle(msgid) itype_p = ffi.new("int*") err = lib.grib_get_native_type(h, key.encode(ENC), itype_p) GRIB_CHECK(err) if itype_p[0] in KEYTYPES: return KEYTYPES[itype_p[0]] else: return None @require(msgid=int, key=str) def grib_get(msgid, key, ktype=None): r""" @brief Get the value of a key in a message. The type of value returned depends on the native type of the requested key. The type of value returned can be forced by using the type argument of the function. The ktype argument can be int, float, str or bytes. The \em msgid references a message loaded in memory. \b Examples: \ref grib_get_keys.py "grib_get_keys.py", \ref grib_print_data.py "grib_print_data.py" @see grib_new_from_file, grib_release, grib_set @param msgid id of the message loaded in memory @param key key name @param ktype the type we want the output in, native type if not specified @return scalar value of key as int, float or str @exception CodesInternalError """ if not key: raise ValueError("Invalid key name") if ktype is None: ktype = grib_get_native_type(msgid, key) result = None if ktype is int: result = grib_get_long(msgid, key) elif ktype is float: result = grib_get_double(msgid, key) elif ktype is str: result = grib_get_string(msgid, key) elif ktype is bytes: result = grib_get_string(msgid, key) return result @require(msgid=int, key=str) def grib_get_array(msgid, key, ktype=None): """ @brief Get the contents of an array key. The type of the array returned depends on the native type of the requested key. For numeric data, the output array will be stored in a NumPy ndarray. The type of value returned can be forced by using the ktype argument of the function. The ktype argument can be int, float, float32, float64, str or bytes. @param msgid id of the message loaded in memory @param key the key to get the value for @param ktype the type we want the output in, native type if not specified @return numpy.ndarray or None @exception CodesInternalError """ if ktype is None: ktype = grib_get_native_type(msgid, key) # ECC-2086 if ktype is bytes and key == "bitmap": return grib_get_long_array(msgid, key) result = None if ktype is int: result = grib_get_long_array(msgid, key) elif ktype is float or ktype is np.float64: result = grib_get_double_array(msgid, key) elif ktype is np.float32: result = grib_get_float_array(msgid, key) elif ktype is str: result = grib_get_string_array(msgid, key) elif ktype is bytes: result = grib_get_string_array(msgid, key) return result @require(gribid=int) def grib_get_values(gribid, ktype=float): """ @brief Retrieve the contents of the 'values' key for a GRIB message. A NumPy ndarray containing the values in the GRIB message is returned. \b Examples: \ref grib_print_data.py "grib_print_data.py", \ref grib_samples.py "grib_samples.py" @param gribid id of the GRIB loaded in memory @param ktype data type of the result: numpy.float32 or numpy.float64 @return numpy.ndarray @exception CodesInternalError """ result = None if ktype is np.float32: result = grib_get_float_array(gribid, "values") elif ktype is np.float64 or ktype is float: result = grib_get_double_array(gribid, "values") else: raise TypeError( f"Unsupported data type {ktype}. Supported data types are numpy.float32 and numpy.float64" ) return result @require(gribid=int) def grib_get_data(gribid): """ @brief Get array containing latitude/longitude and data values. @param gribid id of the GRIB loaded in memory @return lat/lon/value list. Each list element is a dict """ npoints = grib_get(gribid, "numberOfDataPoints") outlats_p = ffi.new("double[]", npoints) outlons_p = ffi.new("double[]", npoints) values_p = ffi.new("double[]", npoints) h = get_handle(gribid) err = lib.grib_get_data(h, outlats_p, outlons_p, values_p) GRIB_CHECK(err) result = [] for i in range(npoints): result.append(Bunch(lat=outlats_p[i], lon=outlons_p[i], value=values_p[i])) return tuple(result) @require(gribid=int) def grib_set_values(gribid, values): """ @brief Set the contents of the 'values' key for a GRIB message. The input array can be a numpy.ndarray or a python sequence like tuple, list, array, ... The elements of the input sequence need to be convertible to a double. \b Examples: \ref grib_clone.py "grib_clone.py", \ref grib_samples.py "grib_samples.py" @param gribid id of the GRIB loaded in memory @param values array of values to set as tuple, list, array or numpy.ndarray """ grib_set_double_array(gribid, "values", values) @require(msgid=int, key=str) def grib_set(msgid, key, value): """ @brief Set the value for a scalar key in a message. The input value can be a python int, float or str. \b Examples: \ref grib_set_keys.py "grib_set_keys.py" @see grib_new_from_file, grib_release, grib_get @param msgid id of the message loaded in memory @param key key name @param value scalar value to set for key @exception CodesInternalError """ if isinstance(value, (int, np.int64)): grib_set_long(msgid, key, value) elif isinstance(value, (float, np.float16, np.float32, np.float64)): grib_set_double(msgid, key, value) elif isinstance(value, str): grib_set_string(msgid, key, value) # elif hasattr(value, "__iter__"): # # The value passed in is iterable; i.e. a list or array etc # grib_set_array(msgid, key, value) else: hint = "" if hasattr(value, "__iter__"): hint = " (Hint: for array keys use codes_set_array(msgid, key, value))" raise GribInternalError( "Invalid type of value when setting key '%s'%s." % (key, hint) ) @require(msgid=int, key=str) def grib_set_array(msgid, key, value): """ @brief Set the value for an array key in a message. Examples of array keys: "values" - data values "pl" - list of number of points for each latitude in a reduced grid "pv" - list of vertical levels The input array can be a numpy.ndarray or a python sequence like tuple, list, array, ... @param msgid id of the message loaded in memory @param key key name @param value array to set for key @exception CodesInternalError """ val0 = None try: val0 = value[0] except TypeError: pass if isinstance(val0, (float, np.float16, np.float32, np.float64)): grib_set_double_array(msgid, key, value) elif isinstance(val0, str): grib_set_string_array(msgid, key, value) else: try: int(val0) except (ValueError, TypeError): raise GribInternalError( "Invalid type of value when setting key '%s'." % key ) grib_set_long_array(msgid, key, value) @require(indexid=int, key=str) def grib_index_get(indexid, key, ktype=str): """ @brief Get the distinct values of an index key. The key must belong to the index. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created on the given key. @param key key for which the values are returned @param ktype the type we want the output in (int, float or str), str if not specified @return array of values @exception CodesInternalError """ # Cannot get the native type of a key from an index # so right now the default is str. The user can overwrite # the type but there is no way right now to do it automatically. # if ktype is None: # ktype = grib_get_native_type(indexid,key) result = None if ktype is int: result = grib_index_get_long(indexid, key) elif ktype is float: result = grib_index_get_double(indexid, key) elif ktype is str: result = grib_index_get_string(indexid, key) return result @require(indexid=int, key=str) def grib_index_select(indexid, key, value): """ @brief Select the message subset with key==value. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of an index created from a file. The index must have been created with the key in argument. @param key key to be selected @param value value of the key to select @exception CodesInternalError """ if isinstance(value, int): grib_index_select_long(indexid, key, value) elif isinstance(value, float): grib_index_select_double(indexid, key, value) elif isinstance(value, str): grib_index_select_string(indexid, key, value) else: raise GribInternalError("Invalid type of value when setting key '%s'." % key) @require(indexid=int, filename=str) def grib_index_write(indexid, filename): """ @brief Write an index to a file for later reuse. An index can be loaded back from an index file with \ref grib_index_read. \b Examples: \ref grib_index.py "grib_index.py" @param indexid id of the index @param filename path of file to save the index to @exception CodesInternalError """ ih = get_index(indexid) GRIB_CHECK(lib.grib_index_write(ih, filename.encode(ENC))) @require(filename=str) def grib_index_read(filename): """ @brief Loads an index previously saved with \ref grib_index_write to a file. \b Examples: \ref grib_index.py "grib_index.py" @param filename path of file to load the index from @return id of the loaded index @exception CodesInternalError """ err, ih = err_last(lib.grib_index_read)(ffi.NULL, filename.encode(ENC)) GRIB_CHECK(err) return put_index(ih) @require(flag=bool) def grib_no_fail_on_wrong_length(flag): """ @brief Do not fail if the message has the wrong length. @param flag True/False """ raise NotImplementedError("API not implemented in CFFI porting.") @require(flag=bool) def grib_gts_header(flag): """ @brief Set the GTS header on/off. @param flag True/False """ context = lib.grib_context_get_default() if flag: lib.grib_gts_header_on(context) else: lib.grib_gts_header_off(context) def grib_get_api_version(vformat=str): """ @brief Get the API version. Returns the version of the API as a string in the format "major.minor.revision" or as an integer (10000*major + 100*minor + revision) """ def div(v, d): return (v / d, v % d) if not lib: raise RuntimeError("Could not load the ecCodes library!") v = lib.grib_get_api_version() if vformat is str: v, revision = div(v, 100) v, minor = div(v, 100) major = v return "%d.%d.%d" % (major, minor, revision) else: return v __version__ = grib_get_api_version() def codes_get_version_info(): """ @brief Get version information. Returns a dictionary containing the versions of the ecCodes API and the Python bindings """ vinfo = dict() vinfo["eccodes"] = grib_get_api_version() vinfo["bindings"] = bindings_version return vinfo @require(order=int) def codes_get_gaussian_latitudes(order): """ @brief Return the Gaussian latitudes @param order The Gaussian order/number (also called the truncation) @return A list of latitudes with 2*order elements """ num_elems = 2 * order outlats_p = ffi.new("double[]", num_elems) err = lib.grib_get_gaussian_latitudes(order, outlats_p) GRIB_CHECK(err) return outlats_p @require(msgid=int) def grib_get_message(msgid): """ @brief Get the binary message. Returns the binary string message associated with the message identified by msgid. @see grib_new_from_message @param msgid id of the message loaded in memory @return binary string message associated with msgid @exception CodesInternalError """ h = get_handle(msgid) message_p = ffi.new("const void**") message_length_p = ffi.new("size_t*") err = lib.grib_get_message(h, message_p, message_length_p) GRIB_CHECK(err) # NOTE: ffi.string would stop on the first nul-character. fixed_length_buffer = ffi.buffer( ffi.cast("char*", message_p[0]), message_length_p[0] ) # Convert to bytes return fixed_length_buffer[:] @require(message=(bytes, str, memoryview)) def grib_new_from_message(message): """ @brief Create a handle from a message in memory. Create a new message from the input binary string and return its id. @see grib_get_message @param message binary string message @return msgid of the newly created message @exception CodesInternalError """ if isinstance(message, memoryview): message = ffi.from_buffer(message) if isinstance(message, str): message = message.encode(ENC) h = lib.grib_handle_new_from_message_copy(ffi.NULL, message, len(message)) if h == ffi.NULL: raise errors.MessageInvalidError("new_from_message failed") return put_handle(h) def codes_definition_path(): """ @brief Get the definition path """ context = lib.grib_context_get_default() dpath = lib.codes_definition_path(context) return ffi.string(dpath).decode(ENC) def codes_samples_path(): """ @brief Get the samples path """ context = lib.grib_context_get_default() spath = lib.codes_samples_path(context) return ffi.string(spath).decode(ENC) def grib_set_debug(dmode): """ @brief Set the debug mode @param dmode -1, 0 or 1 """ context = lib.grib_context_get_default() lib.grib_context_set_debug(context, dmode) @require(val=int) def grib_set_data_quality_checks(val): """ @brief Enable/Disable GRIB data quality checks @param val 0, 1 or 2 0 -> disable data quality checks 1 -> failure results in an error 2 -> failure results in a warning """ assert val == 0 or val == 1 or val == 2 context = lib.grib_context_get_default() lib.grib_context_set_data_quality_checks(context, val) @require(basename=str) def grib_full_defs_path(basename): """ @brief Get the full path of a definition file """ context = lib.grib_context_get_default() path = lib.grib_context_full_defs_path(context, basename.encode(ENC)) if path: return ffi.string(path).decode(ENC) else: return "" @require(defs_path=str) def grib_set_definitions_path(defs_path): """ @brief Set the definitions path @param defs_path definitions path """ context = lib.grib_context_get_default() lib.grib_context_set_definitions_path(context, defs_path.encode(ENC)) @require(samples_path=str) def grib_set_samples_path(samples_path): """ @brief Set the samples path @param samples_path samples path """ context = lib.grib_context_get_default() lib.grib_context_set_samples_path(context, samples_path.encode(ENC)) def grib_context_delete(): """ @brief Wipe all the cached data and definitions files in the context """ lib.grib_context_delete(ffi.NULL) def codes_bufr_multi_element_constant_arrays_on(): """ @brief BUFR: Turn on the mode where you get multiple elements in constant arrays @exception CodesInternalError """ context = lib.grib_context_get_default() lib.codes_bufr_multi_element_constant_arrays_on(context) def codes_bufr_multi_element_constant_arrays_off(): """ @brief BUFR: Turn off the mode where you get multiple elements in constant arrays i.e. you get a single element @exception CodesInternalError """ context = lib.grib_context_get_default() lib.codes_bufr_multi_element_constant_arrays_off(context) @require(msgid=int) def codes_dump(msgid, output_fileobj=sys.stdout, mode="wmo", flags=0): """ @brief Print all keys to an output file object, with the given dump mode and flags @param msgid id of the message loaded in memory @param output_fileobj output file object e.g., sys.stdout @param mode dump mode e.g., "wmo", "debug", "json" """ h = get_handle(msgid) lib.grib_dump_content(h, output_fileobj, mode.encode(ENC), flags, ffi.NULL) # Convert the C codes_bufr_header struct to a Python dictionary def _convert_struct_to_dict(s): result = {} ident_found = False for a in dir(s): value = getattr(s, a) if not ident_found and a == "ident": value = ffi.string(value).decode(ENC) ident_found = True result[a] = value return result def codes_bufr_extract_headers(filepath, is_strict=True): """ @brief BUFR header extraction @param filepath path of input BUFR file @param is_strict fail as soon as any invalid BUFR message is encountered @return a generator that yields items (each item is a dictionary) @exception CodesInternalError """ context = lib.grib_context_get_default() headers_p = ffi.new("struct codes_bufr_header**") num_message_p = ffi.new("int*") err = lib.codes_bufr_extract_headers_malloc( context, filepath.encode(ENC), headers_p, num_message_p, is_strict ) GRIB_CHECK(err) num_messages = num_message_p[0] headers = headers_p[0] # result = [] # for i in range(num_messages): # d = _convert_struct_to_dict(headers[i]) # result.append(d) # return result i = 0 while i < num_messages: yield _convert_struct_to_dict(headers[i]) i += 1 @require(msgid=int) def codes_bufr_key_is_header(msgid, key): """ @brief Check if the BUFR key is in the header or in the data section. If the data section has not been unpacked, then passing in a key from the data section will throw KeyValueNotFoundError. @param msgid id of the BUFR message loaded in memory @param key key name @return 1->header, 0->data section @exception CodesInternalError """ h = get_handle(msgid) err, value = err_last(lib.codes_bufr_key_is_header)(h, key.encode(ENC)) GRIB_CHECK(err) return value @require(msgid=int) def codes_bufr_key_is_coordinate(msgid, key): """ @brief Check if the BUFR key corresponds to a coordinate descriptor. If the data section has not been unpacked, then passing in a key from the data section will throw KeyValueNotFoundError. @param msgid id of the BUFR message loaded in memory @param key key name @return 1->coordinate, 0->not coordinate @exception CodesInternalError """ h = get_handle(msgid) err, value = err_last(lib.codes_bufr_key_is_coordinate)(h, key.encode(ENC)) GRIB_CHECK(err) return value def codes_extract_offsets(filepath, product_kind, is_strict=True): """ @brief Message offset extraction @param filepath path of input file @param product_kind one of CODES_PRODUCT_GRIB, CODES_PRODUCT_BUFR, CODES_PRODUCT_ANY or CODES_PRODUCT_GTS @param is_strict if True, fail as soon as any invalid message is encountered @return a generator that yields offsets (as integers) @exception CodesInternalError """ context = lib.grib_context_get_default() offsets_p = ffi.new("long int**") num_message_p = ffi.new("int*") err = lib.codes_extract_offsets_malloc( context, filepath.encode(ENC), product_kind, offsets_p, num_message_p, is_strict ) GRIB_CHECK(err) num_messages = num_message_p[0] offsets = offsets_p[0] i = 0 while i < num_messages: yield offsets[i] i += 1 def codes_extract_offsets_sizes(filepath, product_kind, is_strict=True): """ @brief Message offset and size extraction @param filepath path of input file @param product_kind one of CODES_PRODUCT_GRIB, CODES_PRODUCT_BUFR, CODES_PRODUCT_ANY or CODES_PRODUCT_GTS @param is_strict if True, fail as soon as any invalid message is encountered @return a generator that yields lists of pairs of offsets and sizes (as integers) @exception CodesInternalError """ context = lib.grib_context_get_default() offsets_p = ffi.new("long int**") sizes_p = ffi.new("size_t**") num_message_p = ffi.new("int*") err = lib.codes_extract_offsets_sizes_malloc( context, filepath.encode(ENC), product_kind, offsets_p, sizes_p, num_message_p, is_strict, ) GRIB_CHECK(err) num_messages = num_message_p[0] offsets = offsets_p[0] sizes = sizes_p[0] i = 0 while i < num_messages: yield (offsets[i], sizes[i]) i += 1 @require(select=int) def codes_get_features(select=CODES_FEATURES_ALL): """ @brief Get the list of library features. @param select One of CODES_FEATURES_ALL, CODES_FEATURES_ENABLED or CODES_FEATURES_DISABLED @return space-separated string of feature names @exception CodesInternalError """ ssize = 1024 result = ffi.new("char[]", ssize) size_p = ffi.new("size_t *", ssize) err = lib.codes_get_features(result, size_p, select) GRIB_CHECK(err) return ffi.string(result).decode(ENC) # ------------------------------- # EXPERIMENTAL FEATURES # ------------------------------- @require(msgid=int) def grib_nearest_new(msgid): h = get_handle(msgid) err, nid = err_last(lib.grib_nearest_new)(h) GRIB_CHECK(err) return put_grib_nearest(nid) def put_grib_nearest(nid): return int(ffi.cast("size_t", nid)) def get_grib_nearest(nid): return ffi.cast("grib_nearest*", nid) @require(nid=int) def grib_nearest_delete(nid): nh = get_grib_nearest(nid) lib.grib_nearest_delete(nh) @require(nid=int, gribid=int) def grib_nearest_find(nid, gribid, inlat, inlon, flags, is_lsm=False, npoints=4): # flags has to be one of: # GRIB_NEAREST_SAME_GRID # GRIB_NEAREST_SAME_DATA # GRIB_NEAREST_SAME_POINT if npoints != 4: raise errors.FunctionNotImplementedError( "grib_nearest_find npoints argument: Only 4 points supported" ) if is_lsm: raise errors.FunctionNotImplementedError( "grib_nearest_find is_lsm argument: Land sea mask not supported" ) h = get_handle(gribid) outlats_p = ffi.new("double[]", npoints) outlons_p = ffi.new("double[]", npoints) values_p = ffi.new("double[]", npoints) distances_p = ffi.new("double[]", npoints) indexes_p = ffi.new("int[]", npoints) size = ffi.new("size_t *") nh = get_grib_nearest(nid) err = lib.grib_nearest_find( nh, h, inlat, inlon, flags, outlats_p, outlons_p, values_p, distances_p, indexes_p, size, ) GRIB_CHECK(err) result = [] for i in range(npoints): result.append( Bunch( lat=outlats_p[i], lon=outlons_p[i], value=values_p[i], distance=distances_p[i], index=indexes_p[i], ) ) return tuple(result) def codes_get_library_path(): return library_path ecmwf-eccodes-python-b43a0f2/gribapi/errors.py0000664000175000017500000002112615172126764021644 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # """ Exception class hierarchy """ from .bindings import ENC, ffi, lib class GribInternalError(Exception): """ @brief Wrap errors coming from the C API in a Python exception object. Base class for all exceptions """ def __init__(self, value): # Call the base class constructor with the parameters it needs Exception.__init__(self, value) if isinstance(value, int): self.msg = ffi.string(lib.grib_get_error_message(value)).decode(ENC) else: self.msg = value def __str__(self): return self.msg class RuntimeError(GribInternalError): """Runtime error.""" class FunctionalityNotEnabledError(GribInternalError): """Functionality not enabled.""" class WrongBitmapSizeError(GribInternalError): """Size of bitmap is incorrect.""" class OutOfRangeError(GribInternalError): """Value out of coding range.""" class UnsupportedEditionError(GribInternalError): """Edition not supported..""" class AttributeNotFoundError(GribInternalError): """Attribute not found..""" class TooManyAttributesError(GribInternalError): """Too many attributes. Increase MAX_ACCESSOR_ATTRIBUTES.""" class AttributeClashError(GribInternalError): """Attribute is already present, cannot add.""" class NullPointerError(GribInternalError): """Null pointer.""" class MissingBufrEntryError(GribInternalError): """Missing BUFR table entry for descriptor.""" class WrongConversionError(GribInternalError): """Wrong type conversion.""" class StringTooSmallError(GribInternalError): """String is smaller than requested.""" class InvalidKeyValueError(GribInternalError): """Invalid key value.""" class ValueDifferentError(GribInternalError): """Value is different.""" class DifferentEditionError(GribInternalError): """Edition of two messages is different.""" class InvalidBitsPerValueError(GribInternalError): """Invalid number of bits per value.""" class CorruptedIndexError(GribInternalError): """Index is corrupted.""" class MessageMalformedError(GribInternalError): """Message malformed.""" class UnderflowError(GribInternalError): """Underflow.""" class SwitchNoMatchError(GribInternalError): """Switch unable to find a matching case.""" class ConstantFieldError(GribInternalError): """Constant field.""" class MessageTooLargeError(GribInternalError): """Message is too large for the current architecture.""" class InternalArrayTooSmallError(GribInternalError): """An internal array is too small.""" class PrematureEndOfFileError(GribInternalError): """End of resource reached when reading message.""" class NullIndexError(GribInternalError): """Null index.""" class EndOfIndexError(GribInternalError): """End of index reached.""" class WrongGridError(GribInternalError): """Grid description is wrong or inconsistent.""" class NoValuesError(GribInternalError): """Unable to code a field without values.""" class EndError(GribInternalError): """End of resource.""" class WrongTypeError(GribInternalError): """Wrong type while packing.""" class NoDefinitionsError(GribInternalError): """Definitions files not found.""" class HashArrayNoMatchError(GribInternalError): """Hash array no match.""" class ConceptNoMatchError(GribInternalError): """Concept no match.""" class OutOfAreaError(GribInternalError): """The point is out of the grid area.""" class MissingKeyError(GribInternalError): """Missing a key from the fieldset.""" class InvalidOrderByError(GribInternalError): """Invalid order by.""" class InvalidNearestError(GribInternalError): """Invalid nearest id.""" class InvalidKeysIteratorError(GribInternalError): """Invalid keys iterator id.""" class InvalidIteratorError(GribInternalError): """Invalid iterator id.""" class InvalidIndexError(GribInternalError): """Invalid index id.""" class InvalidGribError(GribInternalError): """Invalid GRIB id.""" class InvalidFileError(GribInternalError): """Invalid file id.""" class WrongStepUnitError(GribInternalError): """Wrong units for step (step must be integer).""" class WrongStepError(GribInternalError): """Unable to set step.""" class InvalidTypeError(GribInternalError): """Invalid key type.""" class WrongLengthError(GribInternalError): """Wrong message length.""" class ValueCannotBeMissingError(GribInternalError): """Value cannot be missing.""" class InvalidSectionNumberError(GribInternalError): """Invalid section number.""" class NullHandleError(GribInternalError): """Null handle.""" class InvalidArgumentError(GribInternalError): """Invalid argument.""" class ReadOnlyError(GribInternalError): """Value is read only.""" class MemoryAllocationError(GribInternalError): """Memory allocation error.""" class GeocalculusError(GribInternalError): """Problem with calculation of geographic attributes.""" class NoMoreInSetError(GribInternalError): """Code cannot unpack because of string too small.""" class EncodingError(GribInternalError): """Encoding invalid.""" class DecodingError(GribInternalError): """Decoding invalid.""" class MessageInvalidError(GribInternalError): """Message invalid.""" class IOProblemError(GribInternalError): """Input output problem.""" class KeyValueNotFoundError(GribInternalError): """Key/value not found.""" class WrongArraySizeError(GribInternalError): """Array size mismatch.""" class CodeNotFoundInTableError(GribInternalError): """Code not found in code table.""" class FileNotFoundError(GribInternalError): """File not found.""" class ArrayTooSmallError(GribInternalError): """Passed array is too small.""" class MessageEndNotFoundError(GribInternalError): """Missing 7777 at end of message.""" class FunctionNotImplementedError(GribInternalError): """Function not yet implemented.""" class BufferTooSmallError(GribInternalError): """Passed buffer is too small.""" class InternalError(GribInternalError): """Internal error.""" class EndOfFileError(GribInternalError): """End of resource reached.""" ERROR_MAP = { -80: RuntimeError, -67: FunctionalityNotEnabledError, -66: WrongBitmapSizeError, -65: OutOfRangeError, -64: UnsupportedEditionError, -63: AttributeNotFoundError, -62: TooManyAttributesError, -61: AttributeClashError, -60: NullPointerError, -59: MissingBufrEntryError, -58: WrongConversionError, -57: StringTooSmallError, -56: InvalidKeyValueError, -55: ValueDifferentError, -54: DifferentEditionError, -53: InvalidBitsPerValueError, -52: CorruptedIndexError, -51: MessageMalformedError, -50: UnderflowError, -49: SwitchNoMatchError, -48: ConstantFieldError, -47: MessageTooLargeError, -46: InternalArrayTooSmallError, -45: PrematureEndOfFileError, -44: NullIndexError, -43: EndOfIndexError, -42: WrongGridError, -41: NoValuesError, -40: EndError, -39: WrongTypeError, -38: NoDefinitionsError, -37: HashArrayNoMatchError, -36: ConceptNoMatchError, -35: OutOfAreaError, -34: MissingKeyError, -33: InvalidOrderByError, -32: InvalidNearestError, -31: InvalidKeysIteratorError, -30: InvalidIteratorError, -29: InvalidIndexError, -28: InvalidGribError, -27: InvalidFileError, -26: WrongStepUnitError, -25: WrongStepError, -24: InvalidTypeError, -23: WrongLengthError, -22: ValueCannotBeMissingError, -21: InvalidSectionNumberError, -20: NullHandleError, -19: InvalidArgumentError, -18: ReadOnlyError, -17: MemoryAllocationError, -16: GeocalculusError, -15: NoMoreInSetError, -14: EncodingError, -13: DecodingError, -12: MessageInvalidError, -11: IOProblemError, -10: KeyValueNotFoundError, -9: WrongArraySizeError, -8: CodeNotFoundInTableError, -7: FileNotFoundError, -6: ArrayTooSmallError, -5: MessageEndNotFoundError, -4: FunctionNotImplementedError, -3: BufferTooSmallError, -2: InternalError, -1: EndOfFileError, } def raise_grib_error(errid): """ Raise the GribInternalError corresponding to ``errid``. """ raise ERROR_MAP[errid](errid) ecmwf-eccodes-python-b43a0f2/eccodes-python.code-workspace0000664000175000017500000000007515172126764024115 0ustar alastairalastair{ "folders": [ { "path": "." } ], "settings": {} } ecmwf-eccodes-python-b43a0f2/tests/0000775000175000017500000000000015172126764017501 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/tests/test_bufr_examples.py0000664000175000017500000000443715172126764023756 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import io import sys from pathlib import Path import pytest if sys.platform.startswith("win32"): pytest.skip("Not applicable on Windows", allow_module_level=True) @pytest.fixture(autouse=True) def fixture(monkeypatch): this_dir = Path(__file__).parent monkeypatch.syspath_prepend(this_dir.parent) # monkeypatch.chdir(this_dir.parent / 'data') monkeypatch.chdir(this_dir / "sample-data") def compare(output: str, reference: Path): if not reference.exists(): reference.write_text(output) try: assert output == reference.read_text() except AssertionError as error: reference.with_suffix(reference.suffix + ".bad").write_text(output) raise error else: reference.with_suffix(reference.suffix + ".bad").unlink(missing_ok=True) inputs = [ "acars.bufr", "ahi-himawari-8.bufr", "amsu-a-noaa-19.bufr", "amv-goes-9.bufr", "amv-insat-3d.bufr", "amv-meteosat-9.bufr", "amv-noaa-20.bufr", "aura-omi-ak.bufr", "buoy-drifting.bufr", "geos-abi-goes-16.bufr", "geos-mviri-meteosat-7.bufr", "hdob.bufr", "rwp.bufr", "rwp_jma.bufr", "saral-altika.bufr", "sral_sentinel_3a.bufr", "synop.bufr", "synop_multi_subset.bufr", "temp.bufr", "terra-modis-aerosol.bufr", "wave.bufr", ] @pytest.mark.parametrize("input", inputs) def test_attributes_example(input): from examples.attributes import run_example input = Path(input) stream = io.StringIO() run_example(input, output=stream) output = stream.getvalue() reference = input.with_suffix(".attributes") compare(output, reference) @pytest.mark.parametrize("input", inputs) def test_items_example(input): from examples.items import run_example input = Path(input) stream = io.StringIO() run_example(input, stream) output = stream.getvalue() reference = input.with_suffix(".items") compare(output, reference) ecmwf-eccodes-python-b43a0f2/tests/requirements.txt0000664000175000017500000000000715172126764022762 0ustar alastairalastairpytest ecmwf-eccodes-python-b43a0f2/tests/test_bufr_workarounds.py0000664000175000017500000000677415172126764024524 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F403 # flake8: noqa: F405 import sys import numpy as np import pytest as pt import eccodes from eccodes import * from eccodes.highlevel._bufr import * if sys.platform.startswith("win32"): pt.skip("Not applicable on Windows", allow_module_level=True) @pt.fixture(autouse=True) def fixture(monkeypatch): import os this_dir = os.path.dirname(__file__) monkeypatch.chdir(this_dir) # always run tests from the tests directory @pt.mark.skipif( eccodes.__version__ < "2.41.0", reason="requires eccodes 2.41.0; otherwise segfaults (see ECC-2024)", ) def test_workaround_for_ECC_2015(): old = BUFRMessage(open("./sample-data/hdob.bufr")) old.copy(subsets=[0]) old.copy(subsets=[1]) # would fail without the workaround def test_workaround_for_ECC_1624(): # Consider the following message with operator 222000, and thus the 'centre' # key in the data section. bufr = BUFRMessage("BUFR3") bufr["numberOfSubsets"] = 1 bufr["compressedData"] = 0 bufr["unexpandedDescriptors"] = [ 307011, 7006, 10004, 222000, 101023, 31031, 1031, 1032, 101023, 33007, ] # There should be only one element with key 'centre', and its # initial value should be missing. assert bufr.get_count("centre") == 1 assert bufr["centre"] is np.ma.masked # Test that setting 'centre' value does the right thing, and doesn't interfere # with 'bufrHeaderCentre' from section 1. bufr["centre"] = 42 bufr.pack() assert bufr["centre"] == 42 assert bufr["bufrHeaderCentre"] == 98 # Test that setting 'centre' on header raises an exception. with pt.raises(KeyValueNotFoundError): bufr.header["centre"] with pt.raises(KeyValueNotFoundError): bufr.header["centre"] = 42 # Now consider a message *without* operator 222000, and thus *no* 'centre' # key in the data section. bufr = BUFRMessage("BUFR3") bufr["numberOfSubsets"] = 1 bufr["compressedData"] = 0 bufr["unexpandedDescriptors"] = [307011] # Test that setting 'centre' raises an exception. with pt.raises(KeyValueNotFoundError): bufr["centre"] with pt.raises(KeyValueNotFoundError): bufr["centre"] = 42 def test_workaround_for_ECC_2098(): bufr = BUFRMessage("BUFR3") bufr["inputDelayedDescriptorReplicationFactor"] = 3 bufr["unexpandedDescriptors"] = [ 104000, # Delayed replication of 4 elements 31001, # Delayed replication factor 204001, # Operator: Add associated field 31021, # Associated field significance 11001, # Wind speed 204000, # Operator: Close associated field ] bufr["windDirection->associatedField"] = [0, 0, 0] # OK bufr["windDirection->associatedField->associatedFieldSignificance"] = [ 1, 1, 1, ] # Would raise ArrayTooSmallError when packing bufr.pack() def test_workaround_for_ECC_2022(): old = BUFRMessage(open("./sample-data/amv-goes-9.bufr", "rb")) new = old.copy() old.copy_to(new) assert old.data == new.data # would fail without the workaround ecmwf-eccodes-python-b43a0f2/tests/test_bufr_data.py0000664000175000017500000003300615172126764023043 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F403 # flake8: noqa: F405 import sys import warnings import numpy as np import pytest as pt from eccodes import * from eccodes.highlevel._bufr.message import * if sys.platform.startswith("win32"): pt.skip("Not applicable on Windows", allow_module_level=True) @pt.fixture(autouse=True) def fixture(monkeypatch): import os this_dir = os.path.dirname(__file__) monkeypatch.chdir(this_dir) # always run tests from the tests directory def test_data_key(): assert Key.from_string("year") == Key(name="year") assert Key.from_string("year->code") == Key(name="year", attribute="code") assert Key.from_string("year->units") == Key(name="year", attribute="units") assert Key.from_string("year->reference") == Key(name="year", attribute="reference") assert Key.from_string("year->scale") == Key(name="year", attribute="scale") assert Key.from_string("year->width") == Key(name="year", attribute="width") assert Key.from_string("year->percentConfidence") == Key( name="year->percentConfidence", primary="year", secondary="percentConfidence" ) assert Key.from_string("year->percentConfidence->code") == Key( name="year->percentConfidence", primary="year", secondary="percentConfidence", attribute="code", ) assert Key.from_string("#1#year") == Key(name="year", rank=1) assert Key.from_string("#1#year->code") == Key( name="year", rank=1, attribute="code" ) assert Key.from_string("#1#year->percentConfidence") == Key( name="year->percentConfidence", rank=1, primary="year", secondary="percentConfidence", ) assert Key.from_string("#1#year->percentConfidence->code") == Key( name="year->percentConfidence", rank=1, primary="year", secondary="percentConfidence", attribute="code", ) assert "year" == Key(name="year").string assert "year->code" == Key(name="year", attribute="code").string assert "year->units" == Key(name="year", attribute="units").string assert "year->reference" == Key(name="year", attribute="reference").string assert "year->scale" == Key(name="year", attribute="scale").string assert "year->width" == Key(name="year", attribute="width").string assert ( "year->percentConfidence" == Key( name="year->percentConfidence", primary="year", secondary="percentConfidence", ).string ) assert ( "year->percentConfidence->code" == Key( name="year->percentConfidence", primary="year", secondary="percentConfidence", attribute="code", ).string ) assert "#1#year" == Key(name="year", rank=1).string assert "#1#year->code" == Key(name="year", rank=1, attribute="code").string assert ( "#1#year->percentConfidence" == Key( name="year->percentConfidence", rank=1, primary="year", secondary="percentConfidence", ).string ) assert ( "#1#year->percentConfidence->code" == Key( name="year->percentConfidence", rank=1, primary="year", secondary="percentConfidence", attribute="code", ).string ) with pt.raises(NotFoundError): Key.from_string("/pressure=85000/airTemperature") def test_data_accessors(): bufr = BUFRMessage(open("./sample-data/synop.bufr")) # Header keys (should not be accessible from the Data class) assert "edition" not in bufr.data with pt.raises(NotFoundError): bufr.data["edition"] with pt.raises(NotFoundError): bufr.data["edition"] = 3 # Data keys: defined assert "year" in bufr.data assert "year->code" in bufr.data assert "year->percentConfidence" in bufr.data assert "year->percentConfidence->code" in bufr.data assert "#1#year" in bufr.data assert "#1#year->code" in bufr.data assert "#1#year->percentConfidence" in bufr.data assert "#1#year->percentConfidence->code" in bufr.data assert bufr.data["year"] == 2009 assert bufr.data["year->code"] == 4001 assert bufr.data["year->percentConfidence"] == 70 assert np.all( bufr.data["cloudAmount"] == np.ma.masked_values([8, -1, -1, -1, -1], -1) ) # assert bufr.data['year->percentConfidence->code'] == TODO assert bufr.data["#1#year"] == 2009 assert bufr.data["#1#year->code"] == 4001 assert bufr.data["#1#year->percentConfidence"] == 70 assert bufr.data["#1#cloudAmount"] == 8 # assert bufr.data['#1#year->percentConfidence->code'] == TODO bufr.data["year"] = 2025 bufr.data["year->percentConfidence"] = 100 bufr.data["cloudAmount"] = [1, 2, 3, 4, 5] bufr.data["#1#year"] = 2025 bufr.data["#1#year->percentConfidence"] = 100 bufr.data["#1#cloudAmount"] = 8 with pt.raises(ReadOnlyError): bufr.data["year->code"] = 0 with pt.raises(ReadOnlyError): bufr.data["#1#year->code"] = 0 # with pt.raises(ReadOnlyError): bufr.data['#1#year->percentConfidence->code'] = TODO # Data keys: undefined assert "year->code->code" not in bufr.data assert "year->percentConfidence->code->code" not in bufr.data assert "#2#year" not in bufr.data assert "#2#year->percentConfidence" not in bufr.data assert "#2#year->percentConfidence->code" not in bufr.data # Negative subscripts bufr = BUFRMessage(open("./sample-data/temp.bufr")) assert "centre" in bufr.data[-1] assert np.all(bufr.data[-1]["centre"] == bufr.data[2]["centre"]) assert "pressure" in bufr.data[-2] assert np.all(bufr.data[-2]["pressure"] == bufr.data[1]["pressure"]) assert "blockNumber" in bufr.data[-3] assert bufr.data[-3]["blockNumber"] == bufr.data[0]["blockNumber"] with pt.raises(IndexError): bufr.data[-4] def test_data_get_count(): bufr = BUFRMessage(open("./sample-data/synop.bufr")) with pt.raises(KeyValueNotFoundError): bufr.data.get_count("edition") assert bufr.get_count("year") == 1 assert bufr.get_count("year->code") == 1 assert bufr.get_count("year->percentConfidence") == 1 assert bufr.get_count("year->percentConfidence->code") == 1 assert bufr.get_count("#1#year") == 1 assert bufr.get_count("#1#year->code") == 1 assert bufr.get_count("#1#year->percentConfidence") == 1 assert bufr.get_count("#1#year->percentConfidence->code") == 1 with pt.raises(KeyValueNotFoundError): bufr.get_count("#2#year") assert bufr.get_count("cloudAmount") == 5 assert bufr.get_count("cloudAmount->code") == 5 assert bufr.get_count("cloudAmount->percentConfidence") == 5 assert bufr.get_count("cloudAmount->percentConfidence->code") == 5 assert bufr.get_count("#1#cloudAmount") == 1 assert bufr.get_count("#1#cloudAmount->code") == 1 assert bufr.get_count("#1#cloudAmount->percentConfidence") == 1 assert bufr.get_count("#1#cloudAmount->percentConfidence->code") == 1 with pt.raises(KeyValueNotFoundError): bufr.get_count("#6#cloudAmount") bufr = BUFRMessage(open("./sample-data/terra-modis-aerosol.bufr")) assert bufr.get_count("opticalDepth") == 10 assert bufr.data[0].get_count("opticalDepth") == 2 assert bufr.data[1].get_count("opticalDepth") == 8 assert bufr.data.get_count("#1#opticalDepth") == 1 assert bufr.data[0].get_count("#1#opticalDepth") == 1 assert bufr.data[1].get_count("#1#opticalDepth") == 1 with pt.raises(KeyValueNotFoundError): bufr.data.get_count("#11#opticalDepth") with pt.raises(KeyValueNotFoundError): bufr.data[0].get_count("#3#opticalDepth") with pt.raises(KeyValueNotFoundError): bufr.data[1].get_count("#9#opticalDepth") def test_data_is_missing(): bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 with pt.raises(KeyValueNotFoundError): bufr.data.is_missing("edition") assert bufr.is_missing("pressure") assert bufr.is_missing("#1#pressure") assert bufr.is_missing("#2#pressure") array = bufr["pressure"] assert np.all(array.mask) assert array.shape[0] > 1 array[0, :] = 1013.25 assert not np.all(array.mask) assert not bufr.is_missing("pressure") assert not bufr.is_missing("#1#pressure") assert bufr.is_missing("#2#pressure") bufr.pack() assert not bufr.is_missing("pressure") assert not bufr.is_missing("#1#pressure") assert bufr.is_missing("#2#pressure") def test_data_set_missing(): bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 with pt.raises(KeyValueNotFoundError): bufr.data.set_missing("edition") with pt.raises(ValueCannotBeMissingError): bufr.set_missing("pressure->units") bufr["pressure"] = 1013.25 bufr.pack() bufr.set_missing("pressure") array = bufr["pressure"] assert np.all(array.mask) bufr["pressure"] = 1013.25 bufr.pack() bufr.set_missing("#1#pressure") array = bufr["pressure"] assert np.all(array[0, :].mask) assert not np.any(array[1:, :].mask) bufr.set_missing("#2#pressure") assert np.all(array[1, :].mask) assert not np.any(array[2:, :].mask) bufr.set_missing("pressure") assert np.all(array.mask) def test_data_type_of_seconds(): # With default, zero scale -> int bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 bufr["unexpandedDescriptors"] = [4006] assert bufr["second->scale"] == 0 assert bufr["second"].dtype == np.dtype(int) assert bufr["second"].data[0] == CODES_MISSING_LONG assert bufr["second"][0] is np.ma.masked # With changed, non-zero scale -> float bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 bufr["unexpandedDescriptors"] = [202131, 4006, 202000] assert bufr["second->scale"] == 3 assert bufr["second"].dtype == np.dtype(float) assert bufr["second"].data[0] == CODES_MISSING_DOUBLE assert bufr["second"][0] is np.ma.masked def test_data_assumed_scalar_elements(): bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 bufr["unexpandedDescriptors"] = [1007] bufr.data["satelliteIdentifier"] = [1, 2, 3] bytes = bufr.get_buffer() bufr = BUFRMessage(bytes) with change_behaviour() as behaviour: behaviour.assumed_scalar_elements.add("satelliteIdentifier") with pt.warns(UserWarning): assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3]) with change_behaviour() as behaviour: behaviour.on_assumed_scalar_element_invalid_size = "raise" bufr = BUFRMessage(bytes) with pt.raises(ValueError): assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3]) with change_behaviour() as behaviour: behaviour.on_assumed_scalar_element_invalid_size = "ignore" bufr = BUFRMessage(bytes) with warnings.catch_warnings(record=True) as ws: assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3]) assert not ws with change_behaviour() as behaviour: behaviour.assumed_scalar_elements.add("satelliteIdentifier") # Single rank bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 bufr["unexpandedDescriptors"] = [1007] assert bufr.data["satelliteIdentifier"] is np.ma.masked assert bufr.data["#1#satelliteIdentifier"] is np.ma.masked bufr.data["satelliteIdentifier"] = 1 bufr.data["#1#satelliteIdentifier"] = 1 bufr.pack() assert bufr.data["satelliteIdentifier"] == 1 with pt.raises(ValueError): bufr.data["satelliteIdentifier"] = [1, 2, 3] # Multiple ranks bufr = BUFRMessage("BUFR3_local_satellite") bufr["numberOfSubsets"] = 3 bufr["unexpandedDescriptors"] = [1007, 1007] value = bufr.data["satelliteIdentifier"] assert isinstance(value, np.ndarray) assert value.shape == (2,) assert value.all() is np.ma.masked value1 = bufr.data["#1#satelliteIdentifier"] assert value1 is np.ma.masked bufr.data["satelliteIdentifier"] = [0, 0] assert np.all(bufr.data["satelliteIdentifier"] == 0) bufr.data["#1#satelliteIdentifier"] = 1 bufr.data["#2#satelliteIdentifier"] = 2 assert np.all(bufr.data["satelliteIdentifier"] == [1, 2]) def test_data_assignment_with_non_native_types(): bufr = BUFRMessage("BUFR3_local_satellite") bufr["satelliteIdentifier"] = np.int8(0) bufr["satelliteIdentifier"] = np.int16(0) bufr["satelliteIdentifier"] = np.int32(0) bufr["latitude"] = np.float32(0) def test_data_set_string_uncompressed(): # ECC-2220 bufr = BUFRMessage("BUFR4") bufr["unexpandedDescriptors"] = [1025] bufr["stormIdentifier"] = "70A" assert bufr["stormIdentifier"] == "70A" bufr.pack() assert bufr["stormIdentifier"] == "70A" def test_data_set_string_compressed(): # ECC-2220 bufr = BUFRMessage("BUFR4") bufr["compressedData"] = 1 bufr["unexpandedDescriptors"] = [1025] bufr["stormIdentifier"] = "70A" assert bufr["stormIdentifier"] == "70A" bufr.pack() assert bufr["stormIdentifier"] == "70A" ecmwf-eccodes-python-b43a0f2/tests/test_highlevel.py0000664000175000017500000001765315172126764023075 0ustar alastairalastairimport collections import io import itertools import pathlib import sys import numpy as np import pytest import eccodes SAMPLE_DATA_FOLDER = pathlib.Path(__file__).parent / "sample-data" TEST_GRIB_DATA = SAMPLE_DATA_FOLDER / "tiggelam_cnmc_sfc.grib2" TEST_GRIB_DATA2 = SAMPLE_DATA_FOLDER / "era5-levels-members.grib" def test_filereader(): with eccodes.FileReader(TEST_GRIB_DATA) as reader: count = len([None for _ in reader]) assert count == 7 def test_read_message(): with eccodes.FileReader(TEST_GRIB_DATA) as reader: message = next(reader) assert isinstance(message, eccodes.GRIBMessage) def test_message_get(): dummy_default = object() known_missing = "scaleFactorOfSecondFixedSurface" with eccodes.FileReader(TEST_GRIB_DATA) as reader: message = next(reader) assert message.get("edition") == 2 assert message.get("nonexistent") is None assert message.get("nonexistent", dummy_default) is dummy_default assert message.get("centre", ktype=int) == 250 assert message.get("dataType:int") == 11 num_vals = message.get("numberOfValues") assert message.get_size("values") == num_vals vals = message.get("values") assert len(vals) == num_vals vals2 = message.data assert np.all(vals == vals2) assert message["Ni"] == 511 assert message["gridType:int"] == 0 with pytest.raises(KeyError): message["invalid"] # assert message.get("gridSpec", dummy_default) is dummy_default # keys set as MISSING assert message.is_missing(known_missing) assert message.get(known_missing) is None assert message.get(known_missing, dummy_default) is dummy_default with pytest.raises(KeyError): message[known_missing] def test_message_set_plain(): missing_key = "scaleFactorOfFirstFixedSurface" with eccodes.FileReader(TEST_GRIB_DATA) as reader: message = next(reader) message.set("centre", "ecmf") vals = np.arange(message.get("numberOfValues"), dtype=np.float32) message.set_array("values", vals) assert np.all(message.get("values") == vals) message.set("values", vals) message.set_missing(missing_key) assert message.get("centre") == "ecmf" assert np.all(message.get("values") == vals) assert message.is_missing(missing_key) def test_message_set_dict_with_checks(): with eccodes.FileReader(TEST_GRIB_DATA) as reader: message = next(reader) message.set( { "centre": 98, "numberOfValues": 10, "shortName": "z", } ) with pytest.raises(TypeError): message.set("centre", "ecmwf", 2) with pytest.raises(ValueError): message.set("stepRange", "0-12") message.set({"stepType": "max", "stepRange": "0-12"}) message.set("iDirectionIncrementInDegrees", 1.5) def test_message_set_dict_no_checks(): with eccodes.FileReader(TEST_GRIB_DATA) as reader: message = next(reader) assert message.get("longitudeOfFirstGridPoint") == 344250000 assert message.get("longitudeOfLastGridPoint") == 16125000 message.set("swapScanningX", 1, check_values=False) assert message.get("longitudeOfFirstGridPoint") == 16125000 assert message.get("longitudeOfLastGridPoint") == 344250000 def test_message_iter(): with eccodes.FileReader(TEST_GRIB_DATA2) as reader: message = next(reader) keys = list(message) assert len(keys) >= 192 assert keys[-1] == "7777" assert "centre" in keys assert "shortName" in keys keys2 = list(message.keys()) assert keys == keys2 items = collections.OrderedDict(message.items()) assert list(items.keys()) == keys assert items["shortName"] == "z" assert items["centre"] == "ecmf" values = list(message.values()) assert values[keys.index("shortName")] == "z" assert values[keys.index("centre")] == "ecmf" assert values[-1] == "7777" def test_message_iter_missingvalues(): missing_key = "level" with eccodes.FileReader(TEST_GRIB_DATA2) as reader: message = next(reader) message[missing_key] = 42 message.set_missing(missing_key) assert missing_key not in set(message) assert missing_key not in set(message.keys()) assert missing_key not in dict(message.items()) def test_message_copy(): with eccodes.FileReader(TEST_GRIB_DATA2) as reader: message = next(reader) message2 = message.copy() assert list(message.keys()) == list(message2.keys()) def test_write_message(tmp_path): with eccodes.FileReader(TEST_GRIB_DATA2) as reader1: fname = tmp_path / "foo.grib" written = [] with open(fname, "wb") as fout: for message in itertools.islice(reader1, 15): message.write_to(fout) written.append(message) with eccodes.FileReader(fname) as reader2: for message1, message2 in itertools.zip_longest(written, reader2): assert message1 is not None assert message2 is not None for key in [ "edition", "centre", "typeOfLevel", "level", "dataDate", "stepRange", "dataType", "shortName", "packingType", "gridType", "number", ]: assert message1[key] == message2[key] assert np.all(message1.data == message2.data) def test_grib_message_from_samples(): message = eccodes.GRIBMessage.from_samples("regular_ll_sfc_grib2") assert message["edition"] == 2 assert message["gridType"] == "regular_ll" assert message["levtype"] == "sfc" def test_bufr_message_from_samples(): message = eccodes.BUFRMessage.from_samples("BUFR4") assert message["edition"] == 4 def test_read_memory(): buffer = io.BytesIO() with eccodes.FileReader(TEST_GRIB_DATA2) as reader1: written = [] for message in itertools.islice(reader1, 15): message.write_to(buffer) written.append(message) with eccodes.MemoryReader(buffer.getvalue()) as reader2: for message1, message2 in itertools.zip_longest(written, reader2): assert message1 is not None assert message2 is not None for key in [ "edition", "centre", "typeOfLevel", "level", "dataDate", "stepRange", "dataType", "shortName", "packingType", "gridType", "number", ]: assert message1[key] == message2[key] assert np.all(message1.data == message2.data) def test_read_stream(): if sys.platform.startswith("win"): pytest.skip("Test disabled on Windows") buffer = io.BytesIO() with eccodes.FileReader(TEST_GRIB_DATA2) as reader1: written = [] for message in itertools.islice(reader1, 15): message.write_to(buffer) written.append(message) buffer.seek(0, 0) with eccodes.StreamReader(buffer) as reader2: for message1, message2 in itertools.zip_longest(written, reader2): assert message1 is not None assert message2 is not None for key in [ "edition", "centre", "typeOfLevel", "level", "dataDate", "stepRange", "dataType", "shortName", "packingType", "gridType", "number", ]: assert message1[key] == message2[key] assert np.all(message1.data == message2.data) ecmwf-eccodes-python-b43a0f2/tests/test_eccodes.py0000664000175000017500000011654115172126764022527 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # """ Tests of the ecCodes Python3 bindings """ import math import os.path import sys import numpy as np import pytest import eccodes SAMPLE_DATA_FOLDER = os.path.join(os.path.dirname(__file__), "sample-data") TEST_GRIB_TIGGE_DATA = os.path.join(SAMPLE_DATA_FOLDER, "tiggelam_cnmc_sfc.grib2") TEST_GRIB_ERA5_DATA = os.path.join(SAMPLE_DATA_FOLDER, "era5-levels-members.grib") def get_sample_fullpath(sample): samples_path = eccodes.codes_samples_path() if not os.path.isdir(samples_path): return None return os.path.join(samples_path, sample) # --------------------------------------------- # PRODUCT ANY # --------------------------------------------- def test_codes_definition_path(): df = eccodes.codes_definition_path() print(f"\n\teccodes.codes_definition_path returned {df}") assert df is not None def test_codes_samples_path(): sp = eccodes.codes_samples_path() print(f"\n\teccodes.codes_samples_path returned {sp}") assert sp is not None def test_codes_set_debug(): if eccodes.codes_get_api_version(int) < 23800: pytest.skip("ecCodes version too old") eccodes.codes_set_debug(-1) eccodes.codes_set_debug(0) def test_codes_set_data_quality_checks(): if eccodes.codes_get_api_version(int) < 24100: pytest.skip("ecCodes version too old") eccodes.codes_set_data_quality_checks(2) eccodes.codes_set_data_quality_checks(1) eccodes.codes_set_data_quality_checks(0) def test_codes_set_samples_path(): eccodes.codes_set_samples_path(eccodes.codes_samples_path()) def test_api_version(): vs = eccodes.codes_get_api_version() assert isinstance(vs, str) assert len(vs) > 0 assert vs == eccodes.codes_get_api_version(str) vi = eccodes.codes_get_api_version(int) assert isinstance(vi, int) assert vi > 20000 print(vi) def test_version_info(): vinfo = eccodes.codes_get_version_info() print("ecCodes version information: ", vinfo) assert len(vinfo) == 2 def test_codes_get_features(): if eccodes.codes_get_api_version(int) < 23800: pytest.skip("ecCodes version too old") features = eccodes.codes_get_features(eccodes.CODES_FEATURES_ALL) print(f"\n\tAll features = {features}") features = eccodes.codes_get_features(eccodes.CODES_FEATURES_DISABLED) print(f"\tDisabled features = {features}") features = eccodes.codes_get_features(eccodes.CODES_FEATURES_ENABLED) print(f"\tEnabled features = {features}") def test_codes_is_defined(): gid = eccodes.codes_grib_new_from_samples("sh_sfc_grib1") assert eccodes.codes_is_defined(gid, "JS") def test_codes_get_native_type(): gid = eccodes.codes_grib_new_from_samples("GRIB2") assert eccodes.codes_get_native_type(gid, "date") is int assert eccodes.codes_get_native_type(gid, "referenceValue") is float assert eccodes.codes_get_native_type(gid, "stepType") is str assert eccodes.codes_get_native_type(gid, "section_1") is None with pytest.raises(eccodes.NullHandleError): eccodes.codes_get_native_type(0, "aKey") # NULL handle def test_set_logging_file(): if eccodes.codes_get_api_version(int) < 24400: pytest.skip("ecCodes version too old") nullDeviceFile = "/dev/null" if os.path.exists(nullDeviceFile): with open(nullDeviceFile, "w") as fnull: eccodes.codes_context_set_logging(fnull) with pytest.raises(eccodes.FileNotFoundError): eccodes.codes_grib_new_from_samples("Silenced") eccodes.codes_context_set_logging(sys.stderr) with pytest.raises(eccodes.FileNotFoundError): eccodes.codes_grib_new_from_samples("Restored") def test_new_from_file(): fpath = get_sample_fullpath("GRIB2.tmpl") if fpath is None: return with open(fpath, "rb") as f: msgid = eccodes.codes_new_from_file(f, eccodes.CODES_PRODUCT_GRIB) assert msgid fpath = get_sample_fullpath("BUFR4.tmpl") with open(fpath, "rb") as f: msgid = eccodes.codes_new_from_file(f, eccodes.CODES_PRODUCT_BUFR) assert msgid fpath = get_sample_fullpath("clusters_grib1.tmpl") with open(fpath, "rb") as f: msgid = eccodes.codes_new_from_file(f, eccodes.CODES_PRODUCT_ANY) assert msgid with open(fpath, "rb") as f: msgid = eccodes.codes_new_from_file(f, eccodes.CODES_PRODUCT_GTS) assert msgid is None with pytest.raises(ValueError): with open(fpath, "rb") as f: eccodes.codes_new_from_file(f, 1024) def test_any_read(): fpath = get_sample_fullpath("GRIB1.tmpl") if fpath is None: return with open(fpath, "rb") as f: msgid = eccodes.codes_any_new_from_file(f) assert eccodes.codes_get(msgid, "edition") == 1 assert eccodes.codes_get(msgid, "identifier") == "GRIB" assert eccodes.codes_get(msgid, "identifier", str) == "GRIB" eccodes.codes_release(msgid) fpath = get_sample_fullpath("BUFR3.tmpl") with open(fpath, "rb") as f: msgid = eccodes.codes_any_new_from_file(f) assert eccodes.codes_get(msgid, "edition") == 3 assert eccodes.codes_get(msgid, "identifier") == "BUFR" eccodes.codes_release(msgid) def test_count_in_file(): with open(TEST_GRIB_TIGGE_DATA, "rb") as f: assert eccodes.codes_count_in_file(f) == 7 with open(TEST_GRIB_ERA5_DATA, "rb") as f: assert eccodes.codes_count_in_file(f) == 160 fpath = get_sample_fullpath("GRIB1.tmpl") if fpath is None: return with open(fpath, "rb") as f: assert eccodes.codes_count_in_file(f) == 1 def test_new_from_message(): gid = eccodes.codes_grib_new_from_samples("sh_sfc_grib1") message = eccodes.codes_get_message(gid) eccodes.codes_release(gid) assert len(message) == 9358 newgid = eccodes.codes_new_from_message(message) assert eccodes.codes_get(newgid, "packingType") == "spectral_complex" assert eccodes.codes_get(newgid, "gridType") == "sh" eccodes.codes_release(newgid) # This time read from a string rather than a file # metar_str = "METAR LQMO 022350Z 09003KT 6000 FEW010 SCT035 BKN060 08/08 Q1003=" # newgid = eccodes.codes_new_from_message(metar_str) # cccc = eccodes.codes_get(newgid, "CCCC") # assert cccc == "LQMO" # eccodes.codes_release(newgid) def test_new_from_message_memoryview(): # ECC-2081 fpath = get_sample_fullpath("gg_sfc_grib1.tmpl") if fpath is None: return with open(fpath, "rb") as f: data = f.read() mv = memoryview(data) assert len(mv) == 26860 newgid = eccodes.codes_new_from_message(mv) assert eccodes.codes_get(newgid, "packingType") == "grid_simple" assert eccodes.codes_get(newgid, "gridType") == "reduced_gg" assert eccodes.codes_get(newgid, "totalLength") == 26860 eccodes.codes_release(newgid) def test_gts_header(): eccodes.codes_gts_header(True) eccodes.codes_gts_header(False) def test_extract_offsets(): offsets = eccodes.codes_extract_offsets( TEST_GRIB_TIGGE_DATA, eccodes.CODES_PRODUCT_ANY, is_strict=True ) offsets_list = list(offsets) expected = [0, 432, 864, 1296, 1728, 2160, 2616] assert offsets_list == expected def test_extract_offsets_sizes(): if eccodes.codes_get_api_version(int) < 23400: pytest.skip("ecCodes version too old") offsets_sizes = eccodes.codes_extract_offsets_sizes( TEST_GRIB_TIGGE_DATA, eccodes.CODES_PRODUCT_GRIB, is_strict=True ) result = list(offsets_sizes) expected = [ (0, 432), (432, 432), (864, 432), (1296, 432), (1728, 432), (2160, 456), (2616, 456), ] assert result == expected def test_any_new_from_samples(): msgid = eccodes.codes_new_from_samples( "reduced_gg_ml_grib2", eccodes.CODES_PRODUCT_ANY ) assert eccodes.codes_get(msgid, "identifier") == "GRIB" eccodes.codes_release(msgid) msgid = eccodes.codes_new_from_samples("BUFR4", eccodes.CODES_PRODUCT_ANY) assert eccodes.codes_get(msgid, "identifier") == "BUFR" eccodes.codes_release(msgid) msgid = eccodes.codes_any_new_from_samples("diag.tmpl") assert eccodes.codes_get(msgid, "identifier") == "DIAG" eccodes.codes_release(msgid) # --------------------------------------------- # PRODUCT GRIB # --------------------------------------------- def test_grib_read(): gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib1") assert eccodes.codes_get(gid, "Ni") == 16 assert eccodes.codes_get(gid, "Nj") == 31 assert eccodes.codes_get(gid, "const") == 1 assert eccodes.codes_get(gid, "centre", str) == "ecmf" assert eccodes.codes_get(gid, "packingType", str) == "grid_simple" assert eccodes.codes_get(gid, "gridType", str) == "regular_ll" eccodes.codes_release(gid) gid = eccodes.codes_grib_new_from_samples("sh_ml_grib2") assert eccodes.codes_get(gid, "const") == 0 assert eccodes.codes_get(gid, "gridType", str) == "sh" assert eccodes.codes_get(gid, "typeOfLevel", str) == "hybrid" assert eccodes.codes_get_long(gid, "avg") == 185 eccodes.codes_release(gid) def test_grib_set_string(): gid = eccodes.codes_grib_new_from_samples("regular_gg_sfc_grib2") eccodes.codes_set(gid, "gridType", "reduced_gg") eccodes.codes_release(gid) def test_grib_set_error(): gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib1") with pytest.raises(TypeError): eccodes.codes_set_long(gid, "centre", "kwbc") with pytest.raises(TypeError): eccodes.codes_set_double(gid, "centre", "kwbc") with pytest.raises(eccodes.CodesInternalError): eccodes.codes_set(gid, "centre", []) def test_grib_write(tmpdir): gid = eccodes.codes_grib_new_from_samples("GRIB2") eccodes.codes_set(gid, "backgroundProcess", 44) output = tmpdir.join("test_grib_write.grib") with open(str(output), "wb") as fout: eccodes.codes_write(gid, fout) eccodes.codes_release(gid) def test_grib_codes_set_missing(): gid = eccodes.codes_grib_new_from_samples("reduced_rotated_gg_ml_grib2") eccodes.codes_set(gid, "typeOfFirstFixedSurface", "sfc") eccodes.codes_set_missing(gid, "scaleFactorOfFirstFixedSurface") eccodes.codes_set_missing(gid, "scaledValueOfFirstFixedSurface") assert eccodes.codes_is_missing(gid, "scaleFactorOfFirstFixedSurface") def test_grib_set_key_vals(): gid = eccodes.codes_grib_new_from_samples("GRIB2") # String eccodes.codes_set_key_vals(gid, "shortName=z,dataDate=20201112") assert eccodes.codes_get(gid, "shortName", str) == "z" assert eccodes.codes_get(gid, "date", int) == 20201112 # List eccodes.codes_set_key_vals(gid, ["shortName=2t", "dataDate=20191010"]) assert eccodes.codes_get(gid, "shortName", str) == "2t" assert eccodes.codes_get(gid, "date", int) == 20191010 # Dictionary eccodes.codes_set_key_vals(gid, {"shortName": "msl", "dataDate": 20181010}) assert eccodes.codes_get(gid, "shortName", str) == "msl" assert eccodes.codes_get(gid, "date", int) == 20181010 eccodes.codes_release(gid) def test_grib_get_error(): gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib2") # Note: AssertionError can be raised when type checks are enabled with pytest.raises((ValueError, AssertionError)): eccodes.codes_get(gid, None) def test_grib_get_array(): gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_160_grib2") pl = eccodes.codes_get_array(gid, "pl") assert pl[0] == 18 pli = eccodes.codes_get_array(gid, "pl", int) assert np.array_equal(pl, pli) pls = eccodes.codes_get_array(gid, "centre", str) assert pls == ["ecmf"] dvals = eccodes.codes_get_array(gid, "values") assert len(dvals) == 138346 assert type(dvals[0]) is np.float64 eccodes.codes_release(gid) def test_grib_get_array_single_precision(): if eccodes.codes_get_api_version(int) < 23100: pytest.skip("ecCodes version too old") gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_160_grib2") dvals = eccodes.codes_get_array(gid, "values", ktype=float) assert type(dvals[0]) is np.float64 fvals = eccodes.codes_get_array(gid, "values", ktype=np.float32) assert type(fvals[0]) is np.float32 fvals = eccodes.codes_get_float_array(gid, "values") assert type(fvals[0]) is np.float32 dvals = eccodes.codes_get_values(gid) assert type(dvals[0]) is np.float64 fvals = eccodes.codes_get_values(gid, np.float32) assert type(fvals[0]) is np.float32 eccodes.codes_release(gid) def test_grib_gaussian_latitudes(): orders = [256, 1280] # Latitude of the first element (nearest the north pole) expected_lats = [89.731148, 89.946187] for _order, _lat in zip(orders, expected_lats): lats = eccodes.codes_get_gaussian_latitudes(_order) assert len(lats) == 2 * _order assert math.isclose(lats[0], _lat, abs_tol=0.00001) def test_grib_latitudes_longitudes(): gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_160_grib2") lats = eccodes.codes_get_array(gid, "latitudes") assert len(lats) == 138346 assert math.isclose(lats[0], 89.570089, abs_tol=0.00001) lats = eccodes.codes_get_array(gid, "distinctLatitudes") assert len(lats) == 320 assert math.isclose(lats[0], 89.570089, abs_tol=0.00001) assert math.isclose(lats[319], -89.570089, abs_tol=0.00001) lons = eccodes.codes_get_array(gid, "longitudes") assert len(lons) == 138346 assert math.isclose(lons[138345], 340.00, abs_tol=0.00001) lons = eccodes.codes_get_array(gid, "distinctLongitudes") assert len(lons) == 4762 assert math.isclose(lons[4761], 359.4375, abs_tol=0.00001) def test_grib_get_message_size(): gid = eccodes.codes_grib_new_from_samples("GRIB2") assert eccodes.codes_get_message_size(gid) == 179 def test_grib_get_message_offset(): gid = eccodes.codes_grib_new_from_samples("GRIB2") assert eccodes.codes_get_message_offset(gid) == 0 def test_grib_get_key_offset(): gid = eccodes.codes_grib_new_from_samples("GRIB2") assert eccodes.codes_get_offset(gid, "identifier") == 0 assert eccodes.codes_get_offset(gid, "discipline") == 6 assert eccodes.codes_get_offset(gid, "offsetSection1") == 16 assert eccodes.codes_get_offset(gid, "7777") == 175 def test_grib_clone(): gid = eccodes.codes_grib_new_from_samples("GRIB2") clone = eccodes.codes_clone(gid) assert gid assert clone assert eccodes.codes_get(clone, "identifier") == "GRIB" assert eccodes.codes_get(clone, "totalLength") == 179 eccodes.codes_release(gid) eccodes.codes_release(clone) def test_grib_clone_headers_only1(): if eccodes.codes_get_api_version(int) < 24400: pytest.skip("ecCodes version too old") meta = dict( Ni=72, Nj=37, Nx=72, Ny=37, gridType="regular_ll", iDirectionIncrementInDegrees=5.0, iScansNegatively=0, jDirectionIncrementInDegrees=5.0, jPointsAreConsecutive=0, jScansPositively=0, latitudeOfFirstGridPointInDegrees=90.0, latitudeOfLastGridPointInDegrees=-90.0, longitudeOfFirstGridPointInDegrees=0.0, longitudeOfLastGridPointInDegrees=355.0, iDirectionIncrementGiven=1, jDirectionIncrementGiven=1, numberOfGridPoints=2664, # =72*37 (for both editions) ) for sample in ("reduced_gg_pl_160_grib2", "reduced_gg_pl_160_grib1"): handle = eccodes.codes_grib_new_from_samples(sample) c = eccodes.codes_clone(handle, headers_only=True) # set keys to change grid eccodes.codes_set_key_vals(c, meta) lon = eccodes.codes_get_array(c, "longitudes") print(f"GRIB sample {sample}: len lon={len(lon)}") assert len(lon) == 72 * 37 eccodes.codes_set(c, "messageValidityChecks", "grid") assert eccodes.codes_get(c, "isMessageValid") == 1 eccodes.codes_release(handle) eccodes.codes_release(c) def test_grib_clone_headers_only2(): if eccodes.codes_get_api_version(int) < 23400: pytest.skip("ecCodes version too old") with open(TEST_GRIB_ERA5_DATA, "rb") as f: msgid1 = eccodes.codes_grib_new_from_file(f) msgid2 = eccodes.codes_clone(msgid1, headers_only=True) msg1_size = eccodes.codes_get_message_size(msgid1) msg2_size = eccodes.codes_get_message_size(msgid2) assert msg1_size > msg2_size assert eccodes.codes_get(msgid1, "totalLength") == 14752 assert eccodes.codes_get(msgid2, "totalLength") == 112 assert eccodes.codes_get(msgid1, "bitsPerValue") == 16 assert eccodes.codes_get(msgid2, "bitsPerValue") == 0 eccodes.codes_release(msgid1) eccodes.codes_release(msgid2) def test_grib_keys_iterator(): gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_1280_grib1") iterid = eccodes.codes_keys_iterator_new(gid, "ls") count = 0 while eccodes.codes_keys_iterator_next(iterid): keyname = eccodes.codes_keys_iterator_get_name(iterid) keyval = eccodes.codes_get_string(gid, keyname) assert len(keyval) > 0 count += 1 assert count == 10 eccodes.codes_keys_iterator_rewind(iterid) eccodes.codes_keys_iterator_delete(iterid) eccodes.codes_release(gid) def test_grib_keys_iterator_skip(): gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_1280_grib1") iterid = eccodes.codes_keys_iterator_new(gid, "ls") count = 0 eccodes.codes_skip_computed(iterid) # codes_skip_coded(iterid) eccodes.codes_skip_edition_specific(iterid) eccodes.codes_skip_duplicates(iterid) eccodes.codes_skip_read_only(iterid) eccodes.codes_skip_function(iterid) while eccodes.codes_keys_iterator_next(iterid): keyname = eccodes.codes_keys_iterator_get_name(iterid) keyval = eccodes.codes_get_string(gid, keyname) assert len(keyval) > 0 count += 1 # centre, level and dataType assert count == 3 eccodes.codes_keys_iterator_delete(iterid) iterid = eccodes.codes_keys_iterator_new(gid) count = 0 eccodes.codes_skip_coded(iterid) while eccodes.codes_keys_iterator_next(iterid): count += 1 assert count > 140 eccodes.codes_keys_iterator_delete(iterid) eccodes.codes_release(gid) def test_grib_get_data(): gid = eccodes.codes_grib_new_from_samples("GRIB1") ggd = eccodes.codes_grib_get_data(gid) assert len(ggd) == 65160 eccodes.codes_release(gid) gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_32_grib2") ggd = eccodes.codes_grib_get_data(gid) assert len(ggd) == 6114 elem1 = ggd[0] # This is a 'Bunch' derived off dict assert "lat" in elem1.keys() assert "lon" in elem1.keys() assert "value" in elem1.keys() eccodes.codes_release(gid) def test_grib_get_double_element(): gid = eccodes.codes_grib_new_from_samples("gg_sfc_grib2") elem = eccodes.codes_get_double_element(gid, "values", 1) assert math.isclose(elem, 259.9865, abs_tol=0.001) eccodes.codes_release(gid) def test_grib_get_double_elements(): gid = eccodes.codes_grib_new_from_samples("gg_sfc_grib1") values = eccodes.codes_get_values(gid) num_vals = len(values) indexes = [0, int(num_vals / 2), num_vals - 1] elems = eccodes.codes_get_double_elements(gid, "values", indexes) assert math.isclose(elems[0], 259.6935, abs_tol=0.001) assert math.isclose(elems[1], 299.9064, abs_tol=0.001) assert math.isclose(elems[2], 218.8146, abs_tol=0.001) elems2 = eccodes.codes_get_elements(gid, "values", indexes) assert elems == elems2 def test_grib_get_values(): gid = eccodes.codes_grib_new_from_samples("gg_sfc_grib2") with pytest.raises(TypeError): eccodes.codes_get_values(gid, str) eccodes.codes_release(gid) def test_grib_geoiterator(): # version 2.44 has different sample values. See ECC-2110 if eccodes.codes_get_api_version(int) < 24400: pytest.skip("ecCodes version too old") gid = eccodes.codes_grib_new_from_samples("reduced_gg_pl_256_grib2") iterid = eccodes.codes_grib_iterator_new(gid, 0) i = 0 while 1: result = eccodes.codes_grib_iterator_next(iterid) if not result: break [lat, lon, value] = result assert -90.0 < lat < 90.00 assert 0.0 <= lon < 360.0 assert math.isclose(value, 273.15, abs_tol=0.001) i += 1 assert i == 348528 eccodes.codes_grib_iterator_delete(iterid) eccodes.codes_release(gid) def test_grib_nearest(): gid = eccodes.codes_grib_new_from_samples("reduced_gg_ml_grib2") lat, lon = 30, -20 nearest = eccodes.codes_grib_find_nearest(gid, lat, lon)[0] assert nearest.index == 1770 lat, lon = 10, 0 nearest = eccodes.codes_grib_find_nearest(gid, lat, lon)[0] assert nearest.index == 2545 lat, lon = 10, 20 nearest = eccodes.codes_grib_find_nearest(gid, lat, lon, False, 4) expected_indexes = (2553, 2552, 2425, 2424) returned_indexes = ( nearest[0].index, nearest[1].index, nearest[2].index, nearest[3].index, ) assert sorted(expected_indexes) == sorted(returned_indexes) # Cannot do more than 4 nearest neighbours with pytest.raises(ValueError): eccodes.codes_grib_find_nearest(gid, lat, lon, False, 5) eccodes.codes_release(gid) def test_grib_nearest_multiple(): gid = eccodes.codes_new_from_samples( "reduced_gg_ml_grib2", eccodes.CODES_PRODUCT_GRIB ) inlats = (30, 13) inlons = (-20, 234) is_lsm = False nearest = eccodes.codes_grib_find_nearest_multiple(gid, is_lsm, inlats, inlons) eccodes.codes_release(gid) assert nearest[0].index == 1770 assert nearest[1].index == 2500 # Error condition with pytest.raises(ValueError): eccodes.codes_grib_find_nearest_multiple(gid, is_lsm, (1, 2), (1, 2, 3)) def test_grib_ecc_1042(): # Issue ECC-1042: Python3 interface writes integer arrays incorrectly gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib2") # Trying write with inferred dtype write_vals = np.array([1, 2, 3]) eccodes.codes_set_values(gid, write_vals) read_vals = eccodes.codes_get_values(gid) length = len(read_vals) assert read_vals[0] == 1 assert read_vals[length - 1] == 3 # Trying write with explicit dtype write_vals = np.array( [ 1, 2, 3, ], dtype=float, ) eccodes.codes_set_values(gid, write_vals) read_vals = eccodes.codes_get_values(gid) assert read_vals[0] == 1 assert read_vals[length - 1] == 3 eccodes.codes_release(gid) def test_grib_ecc_1007(): # Issue ECC-1007: Python3 interface cannot write large arrays gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib2") numvals = 1501 * 1501 values = np.zeros((numvals,)) values[0] = 12 # Make sure it's not a constant field eccodes.codes_set_values(gid, values) maxv = eccodes.codes_get(gid, "max") minv = eccodes.codes_get(gid, "min") assert minv == 0 assert maxv == 12 eccodes.codes_release(gid) def test_grib_set_bitmap(): gid = eccodes.codes_grib_new_from_samples("GRIB2") # Note: np.Infinity was removed in the NumPy 2.0 release. Use np.inf instead missing = np.inf eccodes.codes_set(gid, "bitmapPresent", 1) eccodes.codes_set(gid, "missingValue", missing) # Grid with 100 points 2 of which are missing values = np.ones((100,)) values[2] = missing values[4] = missing eccodes.codes_set_values(gid, values) assert eccodes.codes_get(gid, "numberOfDataPoints") == 100 assert eccodes.codes_get(gid, "numberOfCodedValues") == 98 assert eccodes.codes_get(gid, "numberOfMissing") == 2 eccodes.codes_get_array(gid, "bitmap") eccodes.codes_release(gid) def test_grib_set_float_array(): gid = eccodes.codes_grib_new_from_samples("regular_ll_sfc_grib2") for ftype in (float, np.float16, np.float32, np.float64): values = np.ones((100000,), ftype) eccodes.codes_set_array(gid, "values", values) assert (eccodes.codes_get_values(gid) == 1.0).all() eccodes.codes_set_values(gid, values) assert (eccodes.codes_get_values(gid) == 1.0).all() def test_grib_set_2d_array(): gid = eccodes.codes_grib_new_from_samples("GRIB2") num_vals = eccodes.codes_get(gid, "numberOfValues") assert num_vals == 496 vals2d = np.array([[11, 2, 3], [4, 15, -6]], np.float64) eccodes.codes_set_double_array(gid, "values", vals2d) num_vals = eccodes.codes_get(gid, "numberOfValues") assert num_vals == 6 vals = eccodes.codes_get_double_array(gid, "values") assert vals[0] == 11.0 assert vals[1] == 2.0 assert vals[4] == 15.0 assert vals[5] == -6.0 def test_grib_set_np_int64(): gid = eccodes.codes_grib_new_from_samples("regular_gg_sfc_grib2") eccodes.codes_set(gid, "productDefinitionTemplateNumber", 1) eccodes.codes_set(gid, "number", np.int64(17)) assert eccodes.codes_get_long(gid, "number") == 17 eccodes.codes_set_long(gid, "number", np.int64(16)) assert eccodes.codes_get_long(gid, "number") == 16 eccodes.codes_release(gid) def test_gribex_mode(): eccodes.codes_gribex_mode_on() eccodes.codes_gribex_mode_off() def test_grib_new_from_samples_error(): with pytest.raises(eccodes.FileNotFoundError): eccodes.codes_new_from_samples("nonExistentSample", eccodes.CODES_PRODUCT_GRIB) def test_grib_new_from_file_error(tmp_path): # Note: AssertionError can be raised when type checks are enabled with pytest.raises((TypeError, AssertionError)): eccodes.codes_grib_new_from_file(None) p = tmp_path / "afile.txt" p.write_text("GRIBxxxx") with open(p, "rb") as f: with pytest.raises(eccodes.UnsupportedEditionError): eccodes.codes_grib_new_from_file(f) def test_grib_index_new_from_file(tmpdir): fpath = get_sample_fullpath("GRIB1.tmpl") if fpath is None: return index_keys = ["shortName", "level", "number", "step", "referenceValue"] iid = eccodes.codes_index_new_from_file(fpath, index_keys) index_file = str(tmpdir.join("temp.grib.index")) eccodes.codes_index_write(iid, index_file) key = "level" assert eccodes.codes_index_get_size(iid, key) == 1 # Cannot get the native type of a key from an index # so right now the default is str. assert eccodes.codes_index_get(iid, key) == ("500",) assert eccodes.codes_index_get(iid, key, int) == (500,) assert eccodes.codes_index_get_long(iid, key) == (500,) key = "referenceValue" refVal = 47485.4 assert eccodes.codes_index_get_double(iid, key) == (refVal,) assert eccodes.codes_index_get(iid, key, float) == (refVal,) eccodes.codes_index_select(iid, "level", 500) eccodes.codes_index_select(iid, "shortName", "z") eccodes.codes_index_select(iid, "number", 0) eccodes.codes_index_select(iid, "step", 0) eccodes.codes_index_select(iid, "referenceValue", refVal) gid = eccodes.codes_new_from_index(iid) assert eccodes.codes_get(gid, "edition") == 1 assert eccodes.codes_get(gid, "totalLength") == 107 eccodes.codes_release(gid) eccodes.codes_index_release(iid) iid2 = eccodes.codes_index_read(index_file) assert eccodes.codes_index_get(iid2, "shortName") == ("z",) eccodes.codes_index_release(iid2) def test_grib_multi_support_reset_file(): try: # TODO: read an actual multi-field GRIB here fpath = get_sample_fullpath("GRIB2.tmpl") if fpath is None: return eccodes.codes_grib_multi_support_on() with open(fpath, "rb") as f: eccodes.codes_grib_multi_support_reset_file(f) finally: eccodes.codes_grib_multi_support_off() def test_grib_multi_field_write(tmpdir): # Note: eccodes.codes_grib_multi_new() calls codes_grib_multi_support_on() # hence the 'finally' block try: gid = eccodes.codes_grib_new_from_samples("GRIB2") mgid = eccodes.codes_grib_multi_new() section_num = 4 for step in range(12, 132, 12): eccodes.codes_set(gid, "step", step) eccodes.codes_grib_multi_append(gid, section_num, mgid) output = tmpdir.join("test_grib_multi_field_write.grib2") with open(str(output), "wb") as fout: eccodes.codes_grib_multi_write(mgid, fout) eccodes.codes_grib_multi_release(mgid) eccodes.codes_release(gid) finally: eccodes.codes_grib_multi_support_off() def test_grib_uuid_get_set(): # ECC-1167 gid = eccodes.codes_grib_new_from_samples("GRIB2") eccodes.codes_set(gid, "gridType", "unstructured_grid") key = "uuidOfHGrid" ntype = eccodes.codes_get_native_type(gid, key) assert ntype is bytes uuid = eccodes.codes_get_string(gid, key) assert uuid == "00000000000000000000000000000000" eccodes.codes_set_string(gid, key, "DEfdBEef10203040b00b1e50001100FF") uuid = eccodes.codes_get(gid, key, str) assert uuid == "defdbeef10203040b00b1e50001100ff" uuid = eccodes.codes_get(gid, key) assert uuid == "defdbeef10203040b00b1e50001100ff" uuid_arr = eccodes.codes_get_array(gid, key) assert uuid_arr == ["defdbeef10203040b00b1e50001100ff"] eccodes.codes_release(gid) def test_grib_dump(tmp_path): gid = eccodes.codes_grib_new_from_samples("GRIB2") p = tmp_path / "dump_grib.txt" with open(p, "w") as fout: eccodes.codes_dump(gid, fout) eccodes.codes_dump(gid, fout, "debug") eccodes.codes_release(gid) def test_grib_copy_namespace(): gid1 = eccodes.codes_grib_new_from_samples("GRIB2") gid2 = eccodes.codes_grib_new_from_samples("reduced_gg_pl_32_grib2") eccodes.codes_copy_namespace(gid1, "ls", gid2) # --------------------------------------------- # PRODUCT BUFR # --------------------------------------------- def test_bufr_read_write(tmpdir): bid = eccodes.codes_new_from_samples("BUFR4", eccodes.CODES_PRODUCT_BUFR) eccodes.codes_set(bid, "unpack", 1) assert eccodes.codes_get(bid, "typicalYear") == 2012 assert eccodes.codes_get(bid, "centre", str) == "ecmf" eccodes.codes_set(bid, "totalSunshine", 13) eccodes.codes_set(bid, "pack", 1) output = tmpdir.join("test_bufr_write.bufr") with open(str(output), "wb") as fout: eccodes.codes_write(bid, fout) assert eccodes.codes_get(bid, "totalSunshine") == 13 eccodes.codes_release(bid) def test_bufr_encode(tmpdir): ibufr = eccodes.codes_bufr_new_from_samples("BUFR3_local_satellite") eccodes.codes_set_array(ibufr, "inputDelayedDescriptorReplicationFactor", (4,)) eccodes.codes_set(ibufr, "masterTableNumber", 0) eccodes.codes_set(ibufr, "bufrHeaderSubCentre", 0) eccodes.codes_set(ibufr, "bufrHeaderCentre", 98) eccodes.codes_set(ibufr, "updateSequenceNumber", 0) eccodes.codes_set(ibufr, "dataCategory", 12) eccodes.codes_set(ibufr, "dataSubCategory", 139) eccodes.codes_set(ibufr, "masterTablesVersionNumber", 13) eccodes.codes_set(ibufr, "localTablesVersionNumber", 1) eccodes.codes_set(ibufr, "numberOfSubsets", 492) eccodes.codes_set(ibufr, "localNumberOfObservations", 492) eccodes.codes_set(ibufr, "satelliteID", 4) eccodes.codes_set(ibufr, "observedData", 1) eccodes.codes_set(ibufr, "compressedData", 1) eccodes.codes_set(ibufr, "unexpandedDescriptors", 312061) eccodes.codes_set(ibufr, "pixelSizeOnHorizontal1", 1.25e04) eccodes.codes_set(ibufr, "orbitNumber", 31330) eccodes.codes_set(ibufr, "#1#beamIdentifier", 1) eccodes.codes_set( ibufr, "#4#likelihoodComputedForSolution", eccodes.CODES_MISSING_DOUBLE ) eccodes.codes_set(ibufr, "pack", 1) output = tmpdir.join("test_bufr_encode.bufr") with open(str(output), "wb") as fout: eccodes.codes_write(ibufr, fout) eccodes.codes_release(ibufr) def test_bufr_set_float(): ibufr = eccodes.codes_bufr_new_from_samples("BUFR4") eccodes.codes_set(ibufr, "unpack", 1) eccodes.codes_set(ibufr, "totalPrecipitationPast24Hours", np.float32(1.26e04)) eccodes.codes_set(ibufr, "totalPrecipitationPast24Hours", np.float16(1.27e04)) eccodes.codes_release(ibufr) def test_bufr_set_string_array(): ibufr = eccodes.codes_bufr_new_from_samples("BUFR3_local_satellite") eccodes.codes_set(ibufr, "numberOfSubsets", 3) eccodes.codes_set(ibufr, "unexpandedDescriptors", 307022) inputVals = ("ARD2-LPTR", "EPFL-LPTR", "BOU2-LPTR") eccodes.codes_set_array(ibufr, "stationOrSiteName", inputVals) eccodes.codes_set(ibufr, "pack", 1) outputVals = eccodes.codes_get_string_array(ibufr, "stationOrSiteName") assert len(outputVals) == 3 assert outputVals[0] == "ARD2-LPTR" assert outputVals[1] == "EPFL-LPTR" assert outputVals[2] == "BOU2-LPTR" eccodes.codes_release(ibufr) def test_bufr_keys_iterator(): bid = eccodes.codes_bufr_new_from_samples("BUFR3_local_satellite") # Header keys only iterid = eccodes.codes_bufr_keys_iterator_new(bid) count = 0 while eccodes.codes_bufr_keys_iterator_next(iterid): keyname = eccodes.codes_bufr_keys_iterator_get_name(iterid) assert "#" not in keyname count += 1 # assert count == 54 eccodes.codes_set(bid, "unpack", 1) eccodes.codes_bufr_keys_iterator_rewind(iterid) count = 0 while eccodes.codes_bufr_keys_iterator_next(iterid): keyname = eccodes.codes_bufr_keys_iterator_get_name(iterid) count += 1 # assert count == 157 eccodes.codes_bufr_keys_iterator_rewind(iterid) eccodes.codes_bufr_keys_iterator_delete(iterid) eccodes.codes_release(bid) def test_bufr_codes_is_missing(): bid = eccodes.codes_bufr_new_from_samples("BUFR4_local") eccodes.codes_set(bid, "unpack", 1) assert eccodes.codes_is_missing(bid, "heightOfBarometerAboveMeanSeaLevel") == 1 assert eccodes.codes_is_missing(bid, "blockNumber") == 1 assert eccodes.codes_is_missing(bid, "stationOrSiteName") == 1 assert eccodes.codes_is_missing(bid, "unexpandedDescriptors") == 0 assert eccodes.codes_is_missing(bid, "ident") == 0 eccodes.codes_set(bid, "stationOrSiteName", "Barca") eccodes.codes_set(bid, "pack", 1) assert eccodes.codes_is_missing(bid, "stationOrSiteName") == 0 eccodes.codes_release(bid) def test_bufr_multi_element_constant_arrays(): eccodes.codes_bufr_multi_element_constant_arrays_off() bid = eccodes.codes_bufr_new_from_samples("BUFR3_local_satellite") eccodes.codes_set(bid, "unpack", 1) assert eccodes.codes_get_size(bid, "satelliteIdentifier") == 1 eccodes.codes_release(bid) eccodes.codes_bufr_multi_element_constant_arrays_on() bid = eccodes.codes_bufr_new_from_samples("BUFR3_local_satellite") eccodes.codes_set(bid, "unpack", 1) numSubsets = eccodes.codes_get(bid, "numberOfSubsets") assert eccodes.codes_get_size(bid, "satelliteIdentifier") == numSubsets eccodes.codes_release(bid) eccodes.codes_bufr_multi_element_constant_arrays_off() def test_bufr_new_from_samples_error(): with pytest.raises(eccodes.FileNotFoundError): eccodes.codes_new_from_samples("nonExistentSample", eccodes.CODES_PRODUCT_BUFR) with pytest.raises(ValueError): eccodes.codes_new_from_samples("BUFR3_local", 1024) def test_bufr_get_message_size(): gid = eccodes.codes_bufr_new_from_samples("BUFR3_local") assert eccodes.codes_get_message_size(gid) == 279 def test_bufr_get_message_offset(): gid = eccodes.codes_bufr_new_from_samples("BUFR3_local") assert eccodes.codes_get_message_offset(gid) == 0 def test_codes_bufr_key_is_header(): bid = eccodes.codes_bufr_new_from_samples("BUFR4_local_satellite") assert eccodes.codes_bufr_key_is_header(bid, "edition") assert eccodes.codes_bufr_key_is_header(bid, "satelliteID") assert eccodes.codes_bufr_key_is_header(bid, "unexpandedDescriptors") with pytest.raises(eccodes.KeyValueNotFoundError): eccodes.codes_bufr_key_is_header(bid, "satelliteSensorIndicator") eccodes.codes_set(bid, "unpack", 1) assert not eccodes.codes_bufr_key_is_header(bid, "satelliteSensorIndicator") assert not eccodes.codes_bufr_key_is_header(bid, "#6#brightnessTemperature") def test_codes_bufr_key_is_coordinate(): if eccodes.codes_get_api_version(int) < 23100: pytest.skip("ecCodes version too old") bid = eccodes.codes_bufr_new_from_samples("BUFR4") assert not eccodes.codes_bufr_key_is_coordinate(bid, "edition") with pytest.raises(eccodes.KeyValueNotFoundError): eccodes.codes_bufr_key_is_coordinate(bid, "latitude") eccodes.codes_set(bid, "unpack", 1) assert eccodes.codes_bufr_key_is_coordinate(bid, "latitude") assert eccodes.codes_bufr_key_is_coordinate(bid, "#14#timePeriod") assert not eccodes.codes_bufr_key_is_coordinate(bid, "dewpointTemperature") eccodes.codes_release(bid) def test_bufr_extract_headers(): fpath = get_sample_fullpath("BUFR4_local.tmpl") if fpath is None: return headers = list(eccodes.codes_bufr_extract_headers(fpath)) # Sample file contains just one message assert len(headers) == 1 header = headers[0] assert header["edition"] == 4 assert header["internationalDataSubCategory"] == 255 assert header["masterTablesVersionNumber"] == 24 assert header["ident"].strip() == "91334" assert header["rdbtimeSecond"] == 19 assert math.isclose(header["localLongitude"], 151.83) @pytest.mark.skipif( sys.platform.startswith("win32"), reason="Not applicable on Windows" ) def test_bufr_dump(tmp_path): bid = eccodes.codes_bufr_new_from_samples("BUFR4") eccodes.codes_set(bid, "unpack", 1) p = tmp_path / "dump_bufr.txt" with open(p, "w") as fout: eccodes.codes_dump(bid, fout, "json") eccodes.codes_release(bid) def test_bufr_copy_data(): bid1 = eccodes.codes_bufr_new_from_samples("BUFR4_local") bid2 = eccodes.codes_bufr_new_from_samples("BUFR4") bid3 = eccodes.codes_bufr_copy_data(bid1, bid2) assert bid3 # --------------------------------------------- # Experimental features # --------------------------------------------- def test_grib_nearest2(): if "codes_grib_nearest_new" not in dir(eccodes): pytest.skip("codes_grib_nearest_new absent") gid = eccodes.codes_grib_new_from_samples("gg_sfc_grib2") lat, lon = 40, 20 flags = eccodes.CODES_GRIB_NEAREST_SAME_GRID | eccodes.CODES_GRIB_NEAREST_SAME_POINT nid = eccodes.codes_grib_nearest_new(gid) assert nid > 0 nearest = eccodes.codes_grib_nearest_find(nid, gid, lat, lon, flags) assert len(nearest) == 4 expected_indexes = (2679, 2678, 2517, 2516) returned_indexes = ( nearest[0].index, nearest[1].index, nearest[2].index, nearest[3].index, ) assert sorted(expected_indexes) == sorted(returned_indexes) assert math.isclose(nearest[0].value, 295.22085, abs_tol=0.0001) assert math.isclose(nearest[2].distance, 24.16520, abs_tol=0.0001) # Error conditions with pytest.raises(eccodes.FunctionNotImplementedError): eccodes.codes_grib_nearest_find(nid, gid, lat, lon, flags, is_lsm=True) with pytest.raises(eccodes.FunctionNotImplementedError): eccodes.codes_grib_nearest_find(nid, gid, lat, lon, flags, False, npoints=5) eccodes.codes_release(gid) eccodes.codes_grib_nearest_delete(nid) ecmwf-eccodes-python-b43a0f2/tests/test_bufr_helpers.py0000664000175000017500000001664115172126764023602 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F403 # flake8: noqa: F405 import numpy as np import pytest as pt from eccodes.highlevel._bufr.helpers import * # Test RaggedArray def test_ragged_array_getset(): a0 = RaggedArray(0) assert a0.ndim == 0 assert a0[None] == 0 assert a0[()] == 0 a1 = RaggedArray([0, 1]) assert a1.ndim == 1 assert a1[0] == 0 assert a1[(1,)] == 1 a1[0] = -0 a1[(1,)] = -1 assert a1[0] == -0 assert a1[(1,)] == -1 a2 = RaggedArray([[0], [1, 2]]) assert a2.ndim == 2 assert a2[(0, 0)] == 0 assert a2[(1, 0)] == 1 assert a2[(1, 1)] == 2 a2[(0, 0)] = -0 a2[(1, 0)] = -1 a2[(1, 1)] = -2 assert a2[(0, 0)] == -0 assert a2[(1, 0)] == -1 assert a2[(1, 1)] == -2 def test_ragged_array_insert(): a0 = RaggedArray.empty(ndim=0) assert a0.data is None assert a0.ndim == 0 a0.insert((), 0) assert a0[()] == 0 a1 = RaggedArray.empty(ndim=1) assert a1.data == [] assert a1.ndim == 1 a1.insert(0, 0) a1.insert((1,), 1) assert a1.data == [0, 1] a2 = RaggedArray.empty(ndim=2) assert a2.data == [[]] assert a2.ndim == 2 a2.insert((0, 0), 0) assert a2.data == [[0]] a2.insert((1, 0), 1) a2.insert((1, 1), 2) assert a2.data == [[0], [1, 2]] def test_ragged_array_bool(): assert not bool(RaggedArray(0)) assert not bool(RaggedArray([])) assert not bool(RaggedArray([[]])) assert bool(RaggedArray(1)) assert bool(RaggedArray([0])) assert bool(RaggedArray([[0]])) # Test get_datetime() def test_get_datetime_with_no_seconds(): data = dict(year=2000, month=1, day=2, hour=3, minute=4) datetime = get_datetime(data) assert not isinstance(datetime, np.ndarray) assert datetime == np.datetime64("2000-01-02T03:04") def test_get_datetime_with_missing_seconds(): data = dict(year=2000, month=1, day=2, hour=3, minute=4) data.update(second=CODES_MISSING_LONG) datetime = get_datetime(data) assert datetime is np.ma.masked data.update(second=np.ma.masked) datetime = get_datetime(data) assert datetime is np.ma.masked data.update(second=[5, CODES_MISSING_LONG]) datetime = get_datetime(data) assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert datetime[0] == np.datetime64("2000-01-02T03:04:05") assert datetime[1] is np.ma.masked assert np.ma.all( datetime == np.array(["2000-01-02T03:04:05", "NaT"], dtype="M8[s]") ) def test_get_datetime_with_decimal_seconds(): data = dict(year=2000, month=1, day=2, hour=3, minute=4) data.update(second=[5.6, CODES_MISSING_DOUBLE]) datetime = get_datetime(data) assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert datetime[0] == np.datetime64("2000-01-02T03:04:05.6") assert datetime[1] is np.ma.masked assert np.ma.all( datetime == np.array(["2000-01-02T03:04:05.6", "NaT"], dtype="M8[ms]") ) def test_get_datetime_with_out_of_range_seconds(): data = dict(year=2000, month=1, day=2, hour=3, minute=4) data.update(second=[5, 60]) datetime = get_datetime(data) assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert datetime[0] == np.datetime64("2000-01-02T03:04:05") assert datetime[1] == np.datetime64("2000-01-02T03:04:59") def test_get_datetime_with_int32_seconds(): data = dict(year=2000, month=1, day=2, hour=3, minute=4) data.update(second=np.array([5, 6], dtype="int32")) datetime = get_datetime(data) assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert datetime[0] == np.datetime64("2000-01-02T03:04:05") assert datetime[1] == np.datetime64("2000-01-02T03:04:06") def test_get_datetime_with_microseconds(): data = dict( year=2000, month=1, day=2, hour=3, minute=4, secondsWithinAMinuteMicrosecond=5.6789, ) datetime = get_datetime(data) assert not isinstance(datetime, np.ndarray) assert datetime == numpy.datetime64("2000-01-02T03:04:05.6789") def test_get_datetime_with_seconds_and_microseconds(): data = dict( year=2000, month=1, day=2, hour=3, minute=4, second=5, secondsWithinAMinuteMicrosecond=5.6789, ) datetime = get_datetime(data) assert not isinstance(datetime, np.ndarray) assert datetime == numpy.datetime64("2000-01-02T03:04:05.6789") def test_get_datetime_with_prefix(): header = dict(rdbtimeDay=2, rdbtimeHour=3, rdbtimeMinute=4, rdbtimeSecond=5) with pt.raises(KeyError): datetime = get_datetime(header, prefix="rdbtime") datetime = get_datetime(header, prefix="rdbtime", year=2000, month=1) assert not isinstance(datetime, np.ndarray) assert datetime == numpy.datetime64("2000-01-02T03:04:05") def test_get_datetime_with_rank(): data = dict(year=[2000, 2001, 2002], month=[1, 2, 3], day=[2, 3, 4]) data.update(hour=[3, 4, 5], minute=[4, 5, 6], second=[5, 6, 7]) for name, values in list(data.items()): # data.pop(name) for rank, value in enumerate(values, 1): data[f"#{rank}#{name}"] = value # Number datetime = get_datetime(data, rank=2) assert not isinstance(datetime, np.ndarray) assert datetime == np.datetime64("2001-02-03T04:05:06") # Slice datetime = get_datetime(data, rank=slice(2, None)) assert isinstance(datetime, np.ndarray) assert np.all( datetime == np.array(["2001-02-03T04:05:06", "2002-03-04T05:06:07"], dtype="M8[s]") ) # Test missing_of() def test_missing_of(): with pt.raises(ValueError): missing_of(np.int8) with pt.raises(ValueError): missing_of(np.int16) assert CODES_MISSING_LONG == missing_of(np.int32) assert CODES_MISSING_LONG == missing_of(np.int64) with pt.raises(ValueError): missing_of(np.dtype("i2")) with pt.raises(ValueError): missing_of(np.dtype("f4")) assert CODES_MISSING_LONG == missing_of(np.dtype("i4")) assert CODES_MISSING_LONG == missing_of(np.dtype("i8")) assert CODES_MISSING_LONG == missing_of(np.array([1])) assert CODES_MISSING_LONG == missing_of([1]) assert CODES_MISSING_LONG == missing_of(1) with pt.raises(ValueError): missing_of(np.float16) with pt.raises(ValueError): missing_of(np.float32) assert CODES_MISSING_DOUBLE == missing_of(np.float64) assert CODES_MISSING_DOUBLE == missing_of(np.dtype("f8")) assert CODES_MISSING_DOUBLE == missing_of(np.array([1.0])) assert CODES_MISSING_DOUBLE == missing_of([1.0]) assert CODES_MISSING_DOUBLE == missing_of(1.0) assert "" == missing_of(np.dtype("U")) assert "" == missing_of(np.array(["one"])) assert "" == missing_of(["one"]) assert "" == missing_of("one") assert np.array(CODES_MISSING_LONG, "M8[D]") == missing_of(np.dtype("M8[D]")) assert np.array(CODES_MISSING_LONG, "M8[D]") == missing_of(np.array(1, "M8[D]")) assert np.array(CODES_MISSING_LONG, "m8[h]") == missing_of(np.dtype("m8[h]")) assert np.array(CODES_MISSING_LONG, "m8[h]") == missing_of(np.array(1, "m8[h]")) ecmwf-eccodes-python-b43a0f2/tests/test_20_main.py0000664000175000017500000000043115172126764022335 0ustar alastairalastairimport pytest from eccodes import __main__ def test_main(capsys): __main__.main(argv=["selfcheck"]) stdout, _ = capsys.readouterr() assert "Your system is ready." in stdout with pytest.raises(RuntimeError): __main__.main(argv=["non-existent-command"]) ecmwf-eccodes-python-b43a0f2/tests/test_bufr_message.py0000664000175000017500000004224315172126764023561 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F403 # flake8: noqa: F405 import datetime as dt import sys import numpy as np import pytest as pt from eccodes import * from eccodes.highlevel._bufr import * if sys.platform.startswith("win32"): pt.skip("Not applicable on Windows", allow_module_level=True) @pt.fixture(autouse=True) def fixture(monkeypatch): import os this_dir = os.path.dirname(__file__) monkeypatch.chdir(this_dir) # always run tests from the tests directory def unpacked(bufr): defined = codes_is_defined(bufr._handle, "year") return bool(defined) def compare_items(m1, m2, keys=None): if keys: keys = list(keys) i1 = [(k, m1[k]) for k in keys] i2 = [(k, m2[k]) for k in keys] else: i1 = list(m1.items()) i2 = list(m2.items()) for (k1, v1), (k2, v2) in zip(i1, i2): assert k1 == k2 if isinstance(v1, np.ndarray): if v1.dtype.type == np.str_: equal = np.char.compare_chararrays(v1, v2, "==", rstrip=True) else: equal = v1.data == v2.data assert k1 and np.all(equal) else: assert k1 and v1 == v2 def test_message_uncompressed(): bufr = BUFRMessage(open("./sample-data/synop_multi_subset.bufr")) assert bufr["edition"] == 4 assert np.all( bufr["unexpandedDescriptors"] == [307079, 4025, 11042] ) # is always array assert "dataCategory" in bufr.header assert bufr.get_count("dataCategory") == 1 bufr["dataCategory"] = 11 assert not unpacked(bufr) assert "rubbish_key" not in bufr # triggers unpacking assert unpacked(bufr) # Accessing undefined elements raises an exception with pt.raises(KeyValueNotFoundError): bufr["undefined"] with pt.raises(KeyValueNotFoundError): bufr["undefined"] = 0 assert "blockNumber" in bufr assert bufr.get_count("blockNumber") == 12 assert len(bufr.data) == 12 # number of subsets assert len(bufr.data[0]) == 19 # number of data tree nodes per subset assert np.all( bufr["stationNumber"].data == np.array([27, 84, 270, 272, 308, 371, 381, 382, 387, 413, 464, 485]) ) assert bufr["#1#stationNumber"] == 27 assert bufr.data[0]["stationNumber"] == 27 # of the 1st subset bufr["stationNumber"][0] = missing_of(int) assert bufr["stationNumber"].data[0] == missing_of(int) bufr["stationNumber"] = missing_of(int) assert np.all(bufr["stationNumber"].data == missing_of(int)) # Keys can have element attribute as a suffix (à la ecCodes) assert bufr["stationNumber->units"] == "Numeric" # Attempting to modify element attributes raises an exception with pt.raises(ReadOnlyError): bufr["stationNumber->units"] = "Turmeric" def test_message_compressed(): bufr = BUFRMessage(open("./sample-data/sral_sentinel_3a.bufr")) assert ( len(bufr.data) == 1 ) # this message doesn't have any replications, so the structure is flat year = bufr["year"] assert year.shape == (22, 5) assert np.all(year[0].data == 2017) assert np.all(year[-1].data == missing_of(int)) # Keys can have rank prefix (à la ecCodes) bufr["#1#year"] = 2018 assert np.all(bufr["#1#year"].data == 2018) # Packing the message by setting the 'pack' key is disallowed with pt.raises(KeyValueNotFoundError): bufr["pack"] = 1 # The same goes for unpacking with pt.raises(KeyValueNotFoundError): bufr["unpack"] = 1 def test_message_sample_defaults(): bufr = BUFRMessage("BUFR3") assert bufr["edition"] == 3 assert bufr["masterTableNumber"] == 0 assert bufr["masterTablesVersionNumber"] == 24 assert bufr["localTablesVersionNumber"] == 0 assert bufr["bufrHeaderCentre"] == 98 assert bufr["bufrHeaderSubCentre"] == 0 assert bufr["numberOfSubsets"] == 1 assert not bufr["compressedData"] assert not bufr["section2Present"] assert np.all(bufr["unexpandedDescriptors"] == 307080) bufr = BUFRMessage("BUFR3_local") assert bufr["edition"] == 3 assert bufr["masterTableNumber"] == 0 assert bufr["masterTablesVersionNumber"] == 24 assert bufr["localTablesVersionNumber"] == 0 assert bufr["bufrHeaderCentre"] == 98 assert bufr["bufrHeaderSubCentre"] == 0 assert bufr["numberOfSubsets"] == 1 assert not bufr["compressedData"] assert bufr["section2Present"] assert np.all(bufr["unexpandedDescriptors"] == 307080) bufr = BUFRMessage("BUFR4_local") assert bufr["edition"] == 4 assert bufr["masterTableNumber"] == 0 assert bufr["masterTablesVersionNumber"] == 24 assert bufr["localTablesVersionNumber"] == 0 assert bufr["bufrHeaderCentre"] == 98 assert bufr["bufrHeaderSubCentre"] == 0 assert bufr["numberOfSubsets"] == 1 assert not bufr["compressedData"] assert np.all(bufr["unexpandedDescriptors"] == 307080) bufr = BUFRMessage("BUFR3_local_satellite") assert bufr["edition"] == 3 assert bufr["masterTableNumber"] == 0 assert bufr["masterTablesVersionNumber"] == 13 assert bufr["localTablesVersionNumber"] == 1 assert bufr["bufrHeaderCentre"] == 98 assert bufr["bufrHeaderSubCentre"] == 0 assert bufr["numberOfSubsets"] == 128 assert bufr["compressedData"] assert np.all(bufr["unexpandedDescriptors"] == 310014) bufr = BUFRMessage("BUFR4_local_satellite") assert bufr["edition"] == 4 assert bufr["masterTableNumber"] == 0 assert bufr["masterTablesVersionNumber"] == 13 assert bufr["localTablesVersionNumber"] == 1 assert bufr["bufrHeaderCentre"] == 98 assert bufr["bufrHeaderSubCentre"] == 0 assert bufr["numberOfSubsets"] == 128 assert bufr["compressedData"] assert np.all(bufr["unexpandedDescriptors"] == 310008) def test_message_new_from_sample(): bufr = BUFRMessage("BUFR3_local_satellite") # If the tables version is not set properly, eccodes fails with # "HashArrayNoMatchError: Hash array no match" when setting # unexpandedDescriptors. bufr["masterTablesVersionNumber"] = 18 bufr["localTablesVersionNumber"] = 0 bufr["numberOfSubsets"] = 2 bufr["compressedData"] # Input replication factors are optional; will default to 0 if not set. bufr["inputDelayedDescriptorReplicationFactor"] = [0, 0] bufr["inputShortDelayedDescriptorReplicationFactor"] = [0, 0, 0, 0, 0, 0] bufr["unexpandedDescriptors"] = [311011] bufr["year"] = 2022 # Template-related items can't be changed once the header is "baked" in for key in ("numberOfSubsets", "compressedData", "unexpandedDescriptors"): with pt.raises(ReadOnlyError): bufr[key] = 1 # Test that common Section 2 keys are set properly bufr.pack() assert bufr["localNumberOfObservations"] == bufr["numberOfSubsets"] def test_message_new_from_bytes(): old = BUFRMessage("BUFR3_local") bytes = old.get_buffer() new = BUFRMessage(bytes) compare_items(old.header, new.header, keys=old.header.keys(skip="read_only")) compare_items(old.data, new.data) def test_message_context_manager(): bufr = BUFRMessage("BUFR3_local") assert bufr._handle > 0 with bufr: pass assert bufr._handle == 0 def test_message_copy(): # Copy is the same as the original (note that copying doesn't require unpacking) old = BUFRMessage(open("./sample-data/synop.bufr")) assert unpacked(old) is False new = old.copy() assert unpacked(old) is False assert old["md5Data"] == new["md5Data"] assert old._handle != new._handle compare_items(old, new) # FIXME: The following code doesnt't work because eccodes apparently doesn't # update typicalDate (which is computed key) when we modify typicalYearOfCentury . # After chainging one of the header section keys # old['typicalYearOfCentury'] = 25 # new = old.copy() # assert old['md5Data'] == new['md5Data'] # compare_items(old, new) # After changing one of the data section keys old["blockNumber"] = 99 new = old.copy() assert old["md5Data"] == new["md5Data"] compare_items(old, new) def test_message_copy_subsets(): old = BUFRMessage(open("./sample-data/ahi-himawari-8.bufr")) old_count = old["numberOfSubsets"] old["second"] = range(0, old_count) # Copy adjacent subsets where mask is True (uses extractSubsetInterval) mask = np.repeat(False, old_count) mask[0:3] = True with old.copy(subsets=mask) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 1, 2]) # # Copy adjacent subsets where mask is True (uses extractSubsetList) mask = np.repeat(False, old_count) mask[[0, 2, 4]] = True with old.copy(subsets=mask) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 2, 4]) # Copy a range of adjacent subsets (uses extractSubsetInterval) with old.copy(subsets=range(3)) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 1, 2]) # Copy a range of non-adjacent subsets (uses extractSubsetList) with old.copy(subsets=range(0, 5, 2)) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 2, 4]) # Copy a list of adjacent subsets (uses extractSubsetInterval) with old.copy(subsets=[0, 1, 2]) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 1, 2]) # Copy a list of non-adjacent subsets (uses extractSubsetList) with old.copy(subsets=[0, 2, 4]) as new: assert new["numberOfSubsets"] == 3 assert np.all(new["second"] == [0, 2, 4]) # Copy a full slice of all subsets # (uses extractSubsetInterval, or no extraction if there were no previous ones) with old.copy(subsets=slice(None, None, None)) as new: # [1] assert new["numberOfSubsets"] == old_count assert np.all(new["second"] == range(0, old_count)) # Copy every 4th subset (uses extractSubsetInterval) with old.copy(subsets=slice(None, None, 4)) as new: assert new["numberOfSubsets"] == divmod(old_count, 4)[0] assert np.all(new["second"] == range(0, old_count, 4)) # Copy every 4th subset within a range (uses extractSubsetList) with old.copy(subsets=slice(16, 32, 4)) as new: assert new["numberOfSubsets"] == divmod(32 - 16, 4)[0] assert np.all(new["second"] == old["second"][16:32:4]) # Copy datetime slice (uses extractSubsetInterval) old_datetime = old.get_datetime() start = old_datetime[0].item() end = start + dt.timedelta(seconds=2) with old.copy(subsets=slice(None, end)) as new: assert new["numberOfSubsets"] == 3 new_datetime = new.get_datetime() assert np.all(new_datetime == old_datetime[0:3]) # [1] Note that this prints a lot of 'ECCODES ERROR' messages due to ECC-2025, # but otherwise the code works OK because we work around the issue internally. def test_message_copy_to(): old = BUFRMessage(open("./sample-data/aura-omi-ak.bufr")) new = BUFRMessage("BUFR3_local_satellite") old.copy_to(new) compare_items(old.header, new.header, keys=old.header.keys(skip="read_only")) compare_items(old.data, new.data) def test_message_eq(): bufr1 = BUFRMessage(open("./sample-data/synop.bufr")) bufr2 = BUFRMessage(open("./sample-data/synop.bufr")) assert bufr1 == bufr2 bufr1["typicalDay"] = 1 bufr2["typicalDay"] = 2 assert bufr1.header != bufr2.header assert bufr1.data == bufr2.data def test_message_update(): bufr = BUFRMessage("BUFR3") bufr.update(year=2000) bufr.update({"month": 2}) bufr.update([("day", 4)]) bufr.update(dict(hour=8, minute=16).items()) assert bufr["year"] == 2000 assert bufr["month"] == 2 assert bufr["day"] == 4 assert bufr["hour"] == 8 assert bufr["minute"] == 16 def test_message_get_datetime_compressed(): bufr = BUFRMessage("BUFR4_local_satellite") bufr.update(numberOfSubsets=2) datetime = bufr.get_datetime() assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert datetime.all() is np.ma.masked bufr.update(year=2000, month=1, day=2, hour=3, minute=4) bufr.update(second=[5, CODES_MISSING_LONG]) datetime = bufr.get_datetime() assert isinstance(datetime, np.ndarray) assert datetime.size == 2 assert np.ma.all( datetime == np.array(["2000-01-02T03:04:05", "NaT"], dtype="M8[s]") ) def test_message_get_datetime_uncompressed(): bufr = BUFRMessage("BUFR3") datetime = bufr.get_datetime() assert datetime is np.ma.masked bufr.update(year=2000, month=1, day=2, hour=3, minute=4) datetime = bufr.get_datetime() assert not isinstance(datetime, np.ndarray) assert datetime == np.datetime64("2000-01-02T03:04:00") datetime = bufr.get_datetime(prefix="typical") assert datetime == np.datetime64("2012-10-31T00:02:00") def test_message_set_datetime_compressed(): bufr = BUFRMessage("BUFR4_local_satellite") # bufr.update(numberOfSubsets=3, unexpandedDescriptors=310008) bufr.update(numberOfSubsets=3) # Built-in datetime object datetime = np.datetime64("2000-01-02T03:04:05", "s").item() bufr.set_datetime(datetime) assert np.all(bufr["year"] == 2000) assert np.all(bufr["month"] == 1) assert np.all(bufr["day"] == 2) assert np.all(bufr["hour"] == 3) assert np.all(bufr["minute"] == 4) assert np.all(bufr["second"] == 5) # Numpy datetime64 array values = ["2000-01-02T03:04:05", "2000-01-02T06:07:08", "NaT"] array = np.ma.array(values, dtype="M8[s]", mask=[False, False, True]) bufr.set_datetime(array) assert np.all(bufr["year"] == 2000) assert np.all(bufr["month"] == 1) assert np.all(bufr["day"] == 2) assert np.all(bufr["hour"] == np.array([3, 6, -1])) assert np.all(bufr["minute"] == np.array([4, 7, -1])) assert np.all(bufr["second"] == np.array([5, 8, -1])) # Unless explicitly set by the user, all datetime-related keys from the header # section (i.e., typicalYear, typicalMonth, etc.) get updated automatically, # whilst packing, based on values from the data section. bufr["typicalYear"] bufr["localYear"] bufr.pack() assert bufr["typicalYear"] == 2000 assert bufr["typicalMonth"] == 1 assert bufr["typicalDay"] == 2 assert bufr["typicalHour"] == 3 assert bufr["typicalMinute"] == 4 assert bufr["typicalSecond"] == 5 assert bufr["localYear"] == 2000 assert bufr["localMonth"] == 1 assert bufr["localDay"] == 2 assert bufr["localHour"] == 3 assert bufr["localMinute"] == 4 assert bufr["localSecond"] == 5 # But respect values of section 1 keys if explicitly set by the user. bufr.update(typicalMinute=0, typicalSecond=0) bufr.update(localMinute=0, localSecond=0) bufr.pack() assert bufr["typicalMinute"] == 0 assert bufr["typicalSecond"] == 0 assert bufr["localMinute"] == 0 assert bufr["localSecond"] == 0 def test_message_set_datetime_compressed_irregular(): bufr = BUFRMessage("BUFR3_local_satellite") bufr.update(numberOfSubsets=3) assert bufr.get_count("year") == 2 assert bufr.get_count("month") == 2 assert bufr.get_count("day") == 2 assert bufr.get_count("hour") == 10 assert bufr.get_count("minute") == 9 assert bufr.get_count("second") == 9 values = ["2000-01-02T03:04:05", "2000-01-02T06:07:08", "NaT"] array = np.ma.array(values, dtype="M8[s]", mask=[False, False, True]) bufr.set_datetime(array, rank=1) assert np.all(bufr["#1#year"] == 2000) assert np.all(bufr["#1#month"] == 1) assert np.all(bufr["#1#day"] == 2) assert np.all(bufr["#1#hour"] == np.array([3, 6, -1])) assert np.all(bufr["#1#minute"] == np.array([4, 7, -1])) assert np.all(bufr["#1#second"] == np.array([5, 8, -1])) assert np.all(bufr["year"][1:]) is np.ma.masked assert np.all(bufr["month"][1:]) is np.ma.masked assert np.all(bufr["day"][1:]) is np.ma.masked assert np.all(bufr["hour"][1:]) is np.ma.masked assert np.all(bufr["minute"][1:]) is np.ma.masked assert np.all(bufr["second"][1:]) is np.ma.masked # Section 1 keys updated whilst packing bufr["typicalYearOfCentury"] bufr.pack() assert bufr.get_datetime(prefix="typical") == np.datetime64(values[0]) assert bufr.get_datetime(prefix="local") == np.datetime64(values[0]) def test_message_set_datetime_uncompressed(): bufr = BUFRMessage("BUFR3_local") datetime = np.datetime64("2000-01-02T03:04:05", "s").item() bufr.set_datetime(datetime) assert bufr["year"] == 2000 assert bufr["month"] == 1 assert bufr["day"] == 2 assert bufr["hour"] == 3 assert bufr["minute"] == 4 # Section 1 keys updated whilst packing bufr["typicalYearOfCentury"] bufr.pack() assert bufr["typicalYearOfCentury"] == 0 assert bufr["typicalMonth"] == 1 assert bufr["typicalDay"] == 2 assert bufr["typicalHour"] == 3 assert bufr["typicalMinute"] == 4 assert bufr["typicalSecond"] == 0 ecmwf-eccodes-python-b43a0f2/tests/test_20_messages.py0000664000175000017500000001524715172126764023233 0ustar alastairalastairimport os.path import numpy as np import pytest # flake8: noqa # from eccodes import messages SAMPLE_DATA_FOLDER = os.path.join(os.path.dirname(__file__), "sample-data") TEST_DATA = os.path.join(SAMPLE_DATA_FOLDER, "era5-levels-members.grib") def _test_Message_read(): with open(TEST_DATA) as file: res1 = messages.Message.from_file(file) assert res1.message_get("paramId") == 129 assert res1["paramId"] == 129 assert list(res1)[0] == "globalDomain" assert list(res1.message_grib_keys("time"))[0] == "dataDate" assert "paramId" in res1 assert len(res1) > 100 with pytest.raises(KeyError): res1["non-existent-key"] assert res1.message_get("non-existent-key", default=1) == 1 res2 = messages.Message.from_message(res1) for (k2, v2), (k1, v1) in zip(res2.items(), res1.items()): assert k2 == k1 if isinstance(v2, np.ndarray) or isinstance(v1, np.ndarray): assert np.allclose(v2, v1) else: assert v2 == v1 with open(TEST_DATA) as file: with pytest.raises(EOFError): while True: messages.Message.from_file(file) def _test_Message_write(tmpdir): res = messages.Message.from_sample_name("regular_ll_pl_grib2") assert res["gridType"] == "regular_ll" res.message_set("Ni", 20) assert res["Ni"] == 20 res["iDirectionIncrementInDegrees"] = 1.0 assert res["iDirectionIncrementInDegrees"] == 1.0 res.message_set("gridType", "reduced_gg") assert res["gridType"] == "reduced_gg" res["pl"] = [2.0, 3.0] assert np.allclose(res["pl"], [2.0, 3.0]) # warn on errors res["centreDescription"] = "DUMMY" assert res["centreDescription"] != "DUMMY" res["edition"] = -1 assert res["edition"] != -1 # ignore errors res.errors = "ignore" res["centreDescription"] = "DUMMY" assert res["centreDescription"] != "DUMMY" # raise errors res.errors = "raise" with pytest.raises(KeyError): res["centreDescription"] = "DUMMY" with pytest.raises(NotImplementedError): del res["gridType"] out = tmpdir.join("test.grib") with open(str(out), "wb") as file: res.write(file) def _test_ComputedKeysMessage_read(): computed_keys = { "ref_time": (lambda m: str(m["dataDate"]) + str(m["dataTime"]), None), "error_key": (lambda m: 1 / 0, None), "centre": (lambda m: -1, lambda m, v: None), } with open(TEST_DATA) as file: res = messages.ComputedKeysMessage.from_file(file, computed_keys=computed_keys) assert res["paramId"] == 129 assert res["ref_time"] == "201701010" assert len(res) > 100 assert res["centre"] == -1 with pytest.raises(ZeroDivisionError): res["error_key"] def _test_ComputedKeysMessage_write(): computed_keys = { "ref_time": (lambda m: "%s%04d" % (m["dataDate"], m["dataTime"]), None), "error_key": (lambda m: 1 / 0, None), "centre": (lambda m: -1, lambda m, v: None), } res = messages.ComputedKeysMessage.from_sample_name( "regular_ll_pl_grib2", computed_keys=computed_keys ) res["dataDate"] = 20180101 res["dataTime"] = 0 assert res["ref_time"] == "201801010000" res["centre"] = 1 def _test_compat_create_exclusive(tmpdir): test_file = tmpdir.join("file.grib.idx") try: with messages.compat_create_exclusive(str(test_file)): raise RuntimeError("Test remove") except RuntimeError: pass with messages.compat_create_exclusive(str(test_file)) as file: file.write(b"Hi!") with pytest.raises(OSError): with messages.compat_create_exclusive(str(test_file)) as file: file.write(b"Hi!") def _test_FileIndex(): res = messages.FileIndex.from_filestream( messages.FileStream(TEST_DATA), ["paramId"] ) assert res["paramId"] == [129, 130] assert len(res) == 1 assert list(res) == ["paramId"] assert res.first() with pytest.raises(ValueError): res.getone("paramId") with pytest.raises(KeyError): res["non-existent-key"] subres = res.subindex(paramId=130) assert subres.get("paramId") == [130] assert subres.getone("paramId") == 130 assert len(subres) == 1 def _test_FileIndex_from_indexpath_or_filestream(tmpdir): grib_file = tmpdir.join("file.grib") with open(TEST_DATA, "rb") as file: grib_file.write_binary(file.read()) # create index file res = messages.FileIndex.from_indexpath_or_filestream( messages.FileStream(str(grib_file)), ["paramId"] ) assert isinstance(res, messages.FileIndex) # read index file res = messages.FileIndex.from_indexpath_or_filestream( messages.FileStream(str(grib_file)), ["paramId"] ) assert isinstance(res, messages.FileIndex) # do not read nor create the index file res = messages.FileIndex.from_indexpath_or_filestream( messages.FileStream(str(grib_file)), ["paramId"], indexpath="" ) assert isinstance(res, messages.FileIndex) # can't create nor read index file res = messages.FileIndex.from_indexpath_or_filestream( messages.FileStream(str(grib_file)), ["paramId"], indexpath=str(tmpdir.join("non-existent-folder").join("non-existent-file")), ) assert isinstance(res, messages.FileIndex) # trigger mtime check grib_file.remove() with open(TEST_DATA, "rb") as file: grib_file.write_binary(file.read()) res = messages.FileIndex.from_indexpath_or_filestream( messages.FileStream(str(grib_file)), ["paramId"] ) assert isinstance(res, messages.FileIndex) def _test_FileIndex_errors(): class MyMessage(messages.ComputedKeysMessage): computed_keys = {"error_key": lambda m: 1 / 0} stream = messages.FileStream(TEST_DATA, message_class=MyMessage) res = messages.FileIndex.from_filestream(stream, ["paramId", "error_key"]) assert res["paramId"] == [129, 130] assert len(res) == 2 assert list(res) == ["paramId", "error_key"] assert res["error_key"] == ["undef"] def _test_FileStream(): res = messages.FileStream(TEST_DATA) leader = res.first() assert len(leader) > 100 assert sum(1 for _ in res) == leader["count"] assert len(res.index(["paramId"])) == 1 # __file__ is not a GRIB, but contains the "GRIB" string, so it is a very tricky corner case res = messages.FileStream(str(__file__)) with pytest.raises(EOFError): res.first() res = messages.FileStream(str(__file__), errors="ignore") with pytest.raises(EOFError): res.first() # res = messages.FileStream(str(__file__), errors='raise') # with pytest.raises(bindings.EcCodesError): # res.first() ecmwf-eccodes-python-b43a0f2/tests/examples/0000775000175000017500000000000015172126764021317 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/tests/examples/__init__.py0000664000175000017500000000000015172126764023416 0ustar alastairalastairecmwf-eccodes-python-b43a0f2/tests/examples/items.py0000775000175000017500000000316015172126764023015 0ustar alastairalastair#!/usr/bin/env python3 # Copyright 2005- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # This example shows how to list all items in a BUFR message. # # Usage: ./items.py input.bufr # flake8: noqa: F403 # flake8: noqa: F405 import sys from eccodes import * from eccodes.highlevel import * def run_example(input, output=sys.stdout): reader = FileReader(input, CODES_PRODUCT_BUFR) for i, message in enumerate(reader, start=1): print("messageNumber", i, file=output) if message["compressedData"] or message["numberOfSubsets"] == 1: for k, v in message.items(): print(k, v, file=output) else: for k, v in message.header.items(): print(k, v, file=output) # For uncompressed multi-subset messages, print items one subset at a time. [1] for j, subset in enumerate(message.data, start=1): print("subsetNumber", j, file=output) for k, v in subset.items(): print(k, v, file=output) if __name__ == "__main__": run_example(sys.argv[1]) # Footnotes: # # [1] This is not stricly necessary but, generally, it's easier to interpret # contents of ucompressed messages by looking at individual subsets, especially # so when subsets have different replication factors. ecmwf-eccodes-python-b43a0f2/tests/examples/attributes.py0000775000175000017500000000257415172126764024072 0ustar alastairalastair#!/usr/bin/env python3 # Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # This example shows how to read key attributes. # # Usage: attributes.py input.bufr # flake8: noqa: F403 # flake8: noqa: F405 import sys from eccodes import * from eccodes.highlevel import * ATTRIBUTES = ["code", "units", "scale", "reference", "width"] # See BUFR Code Table B def run_example(input, output=sys.stdout): # Loop over the messages in the file for number, bufr in enumerate(FileReader(input, CODES_PRODUCT_BUFR), start=1): print(f"messageNumber: {number}", file=output) # Loop over all keys in the message for name in bufr.keys(): # Print element's attributes. 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stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 radiosondeType->code: '002011' radiosondeType->units: CODE TABLE radiosondeType->scale: 0 radiosondeType->reference: 0 radiosondeType->width: 8 radiosondeType->percentConfidence->code: '033007' radiosondeType->percentConfidence->units: % radiosondeType->percentConfidence->scale: 0 radiosondeType->percentConfidence->reference: 0 radiosondeType->percentConfidence->width: 7 radiosondeComputationalMethod->code: '002012' radiosondeComputationalMethod->units: CODE TABLE radiosondeComputationalMethod->scale: 0 radiosondeComputationalMethod->reference: 0 radiosondeComputationalMethod->width: 4 radiosondeComputationalMethod->percentConfidence->code: '033007' radiosondeComputationalMethod->percentConfidence->units: % radiosondeComputationalMethod->percentConfidence->scale: 0 radiosondeComputationalMethod->percentConfidence->reference: 0 radiosondeComputationalMethod->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 verticalSignificanceSurfaceObservations->percentConfidence->code: '033007' verticalSignificanceSurfaceObservations->percentConfidence->units: % verticalSignificanceSurfaceObservations->percentConfidence->scale: 0 verticalSignificanceSurfaceObservations->percentConfidence->reference: 0 verticalSignificanceSurfaceObservations->percentConfidence->width: 7 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 cloudAmount->percentConfidence->code: '033007' cloudAmount->percentConfidence->units: % cloudAmount->percentConfidence->scale: 0 cloudAmount->percentConfidence->reference: 0 cloudAmount->percentConfidence->width: 7 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 heightOfBaseOfCloud->percentConfidence->code: '033007' heightOfBaseOfCloud->percentConfidence->units: % heightOfBaseOfCloud->percentConfidence->scale: 0 heightOfBaseOfCloud->percentConfidence->reference: 0 heightOfBaseOfCloud->percentConfidence->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 cloudType->percentConfidence->code: '033007' cloudType->percentConfidence->units: % cloudType->percentConfidence->scale: 0 cloudType->percentConfidence->reference: 0 cloudType->percentConfidence->width: 7 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 delayedDescriptorReplicationFactor->percentConfidence->code: '033007' delayedDescriptorReplicationFactor->percentConfidence->units: % delayedDescriptorReplicationFactor->percentConfidence->scale: 0 delayedDescriptorReplicationFactor->percentConfidence->reference: 0 delayedDescriptorReplicationFactor->percentConfidence->width: 7 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 verticalSoundingSignificance->code: '008001' verticalSoundingSignificance->units: FLAG TABLE verticalSoundingSignificance->scale: 0 verticalSoundingSignificance->reference: 0 verticalSoundingSignificance->width: 7 verticalSoundingSignificance->percentConfidence->code: '033007' verticalSoundingSignificance->percentConfidence->units: % verticalSoundingSignificance->percentConfidence->scale: 0 verticalSoundingSignificance->percentConfidence->reference: 0 verticalSoundingSignificance->percentConfidence->width: 7 nonCoordinateGeopotential->code: '010003' nonCoordinateGeopotential->units: m2 s-2 nonCoordinateGeopotential->scale: -1 nonCoordinateGeopotential->reference: -400 nonCoordinateGeopotential->width: 17 nonCoordinateGeopotential->percentConfidence->code: '033007' nonCoordinateGeopotential->percentConfidence->units: % nonCoordinateGeopotential->percentConfidence->scale: 0 nonCoordinateGeopotential->percentConfidence->reference: 0 nonCoordinateGeopotential->percentConfidence->width: 7 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 airTemperature->percentConfidence->code: '033007' airTemperature->percentConfidence->units: % airTemperature->percentConfidence->scale: 0 airTemperature->percentConfidence->reference: 0 airTemperature->percentConfidence->width: 7 dewpointTemperature->code: '012003' dewpointTemperature->units: K dewpointTemperature->scale: 1 dewpointTemperature->reference: 0 dewpointTemperature->width: 12 dewpointTemperature->percentConfidence->code: '033007' dewpointTemperature->percentConfidence->units: % dewpointTemperature->percentConfidence->scale: 0 dewpointTemperature->percentConfidence->reference: 0 dewpointTemperature->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 extendedDelayedDescriptorReplicationFactor->code: '031002' extendedDelayedDescriptorReplicationFactor->units: Numeric extendedDelayedDescriptorReplicationFactor->scale: 0 extendedDelayedDescriptorReplicationFactor->reference: 0 extendedDelayedDescriptorReplicationFactor->width: 16 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 messageNumber: 2 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 blockNumber->percentConfidence->code: '033007' blockNumber->percentConfidence->units: % blockNumber->percentConfidence->scale: 0 blockNumber->percentConfidence->reference: 0 blockNumber->percentConfidence->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationNumber->percentConfidence->code: '033007' stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 radiosondeType->code: '002011' radiosondeType->units: CODE TABLE radiosondeType->scale: 0 radiosondeType->reference: 0 radiosondeType->width: 8 radiosondeType->percentConfidence->code: '033007' radiosondeType->percentConfidence->units: % radiosondeType->percentConfidence->scale: 0 radiosondeType->percentConfidence->reference: 0 radiosondeType->percentConfidence->width: 7 radiosondeComputationalMethod->code: '002012' radiosondeComputationalMethod->units: CODE TABLE radiosondeComputationalMethod->scale: 0 radiosondeComputationalMethod->reference: 0 radiosondeComputationalMethod->width: 4 radiosondeComputationalMethod->percentConfidence->code: '033007' radiosondeComputationalMethod->percentConfidence->units: % radiosondeComputationalMethod->percentConfidence->scale: 0 radiosondeComputationalMethod->percentConfidence->reference: 0 radiosondeComputationalMethod->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 verticalSignificanceSurfaceObservations->percentConfidence->code: '033007' verticalSignificanceSurfaceObservations->percentConfidence->units: % verticalSignificanceSurfaceObservations->percentConfidence->scale: 0 verticalSignificanceSurfaceObservations->percentConfidence->reference: 0 verticalSignificanceSurfaceObservations->percentConfidence->width: 7 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 cloudAmount->percentConfidence->code: '033007' cloudAmount->percentConfidence->units: % cloudAmount->percentConfidence->scale: 0 cloudAmount->percentConfidence->reference: 0 cloudAmount->percentConfidence->width: 7 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 delayedDescriptorReplicationFactor->percentConfidence->code: '033007' delayedDescriptorReplicationFactor->percentConfidence->units: % delayedDescriptorReplicationFactor->percentConfidence->scale: 0 delayedDescriptorReplicationFactor->percentConfidence->reference: 0 delayedDescriptorReplicationFactor->percentConfidence->width: 7 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 verticalSoundingSignificance->code: '008001' verticalSoundingSignificance->units: FLAG TABLE verticalSoundingSignificance->scale: 0 verticalSoundingSignificance->reference: 0 verticalSoundingSignificance->width: 7 verticalSoundingSignificance->percentConfidence->code: '033007' verticalSoundingSignificance->percentConfidence->units: % verticalSoundingSignificance->percentConfidence->scale: 0 verticalSoundingSignificance->percentConfidence->reference: 0 verticalSoundingSignificance->percentConfidence->width: 7 nonCoordinateGeopotential->code: '010003' nonCoordinateGeopotential->units: m2 s-2 nonCoordinateGeopotential->scale: -1 nonCoordinateGeopotential->reference: -400 nonCoordinateGeopotential->width: 17 nonCoordinateGeopotential->substitutedValue->code: '223255' nonCoordinateGeopotential->substitutedValue->units: m2 s-2 nonCoordinateGeopotential->substitutedValue->scale: 0 nonCoordinateGeopotential->substitutedValue->reference: 0 nonCoordinateGeopotential->substitutedValue->width: 0 nonCoordinateGeopotential->percentConfidence->code: '033007' nonCoordinateGeopotential->percentConfidence->units: % nonCoordinateGeopotential->percentConfidence->scale: 0 nonCoordinateGeopotential->percentConfidence->reference: 0 nonCoordinateGeopotential->percentConfidence->width: 7 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 airTemperature->percentConfidence->code: '033007' airTemperature->percentConfidence->units: % airTemperature->percentConfidence->scale: 0 airTemperature->percentConfidence->reference: 0 airTemperature->percentConfidence->width: 7 dewpointTemperature->code: '012003' dewpointTemperature->units: K dewpointTemperature->scale: 1 dewpointTemperature->reference: 0 dewpointTemperature->width: 12 dewpointTemperature->percentConfidence->code: '033007' dewpointTemperature->percentConfidence->units: % dewpointTemperature->percentConfidence->scale: 0 dewpointTemperature->percentConfidence->reference: 0 dewpointTemperature->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 extendedDelayedDescriptorReplicationFactor->code: '031002' extendedDelayedDescriptorReplicationFactor->units: Numeric extendedDelayedDescriptorReplicationFactor->scale: 0 extendedDelayedDescriptorReplicationFactor->reference: 0 extendedDelayedDescriptorReplicationFactor->width: 16 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 messageNumber: 3 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 blockNumber->percentConfidence->code: '033007' blockNumber->percentConfidence->units: % blockNumber->percentConfidence->scale: 0 blockNumber->percentConfidence->reference: 0 blockNumber->percentConfidence->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationNumber->percentConfidence->code: '033007' stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 radiosondeType->code: '002011' radiosondeType->units: CODE TABLE radiosondeType->scale: 0 radiosondeType->reference: 0 radiosondeType->width: 8 radiosondeType->percentConfidence->code: '033007' radiosondeType->percentConfidence->units: % radiosondeType->percentConfidence->scale: 0 radiosondeType->percentConfidence->reference: 0 radiosondeType->percentConfidence->width: 7 radiosondeComputationalMethod->code: '002012' radiosondeComputationalMethod->units: CODE TABLE radiosondeComputationalMethod->scale: 0 radiosondeComputationalMethod->reference: 0 radiosondeComputationalMethod->width: 4 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 delayedDescriptorReplicationFactor->percentConfidence->code: '033007' delayedDescriptorReplicationFactor->percentConfidence->units: % delayedDescriptorReplicationFactor->percentConfidence->scale: 0 delayedDescriptorReplicationFactor->percentConfidence->reference: 0 delayedDescriptorReplicationFactor->percentConfidence->width: 7 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 verticalSoundingSignificance->code: '008001' verticalSoundingSignificance->units: FLAG TABLE verticalSoundingSignificance->scale: 0 verticalSoundingSignificance->reference: 0 verticalSoundingSignificance->width: 7 verticalSoundingSignificance->percentConfidence->code: '033007' verticalSoundingSignificance->percentConfidence->units: % verticalSoundingSignificance->percentConfidence->scale: 0 verticalSoundingSignificance->percentConfidence->reference: 0 verticalSoundingSignificance->percentConfidence->width: 7 nonCoordinateGeopotential->code: '010003' nonCoordinateGeopotential->units: m2 s-2 nonCoordinateGeopotential->scale: -1 nonCoordinateGeopotential->reference: -400 nonCoordinateGeopotential->width: 17 nonCoordinateGeopotential->percentConfidence->code: '033007' nonCoordinateGeopotential->percentConfidence->units: % nonCoordinateGeopotential->percentConfidence->scale: 0 nonCoordinateGeopotential->percentConfidence->reference: 0 nonCoordinateGeopotential->percentConfidence->width: 7 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 airTemperature->percentConfidence->code: '033007' airTemperature->percentConfidence->units: % airTemperature->percentConfidence->scale: 0 airTemperature->percentConfidence->reference: 0 airTemperature->percentConfidence->width: 7 dewpointTemperature->code: '012003' dewpointTemperature->units: K dewpointTemperature->scale: 1 dewpointTemperature->reference: 0 dewpointTemperature->width: 12 dewpointTemperature->percentConfidence->code: '033007' dewpointTemperature->percentConfidence->units: % dewpointTemperature->percentConfidence->scale: 0 dewpointTemperature->percentConfidence->reference: 0 dewpointTemperature->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 extendedDelayedDescriptorReplicationFactor->code: '031002' extendedDelayedDescriptorReplicationFactor->units: Numeric extendedDelayedDescriptorReplicationFactor->scale: 0 extendedDelayedDescriptorReplicationFactor->reference: 0 extendedDelayedDescriptorReplicationFactor->width: 16 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/era5-levels-members.grib0000664000175000017500001100440015172126764026312 0ustar alastairalastairGRIB9 8€b‘ÿ€dô$0001 ÿx=_€_rˆ ¸ ¸9<€D¶‡ôEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEgEêFFGF|F·FôG1GiGœGËGøH%HRH|H£HÅHãHüIII)I-I,I&II HõHØHµHŠHZH%GêG©GcGFËF|F+EÚE‡E3DßDD>CñC§C]CBËB„B>AøA²AmA*@è@¦@e@&?ê?³??T?*?>Ý>½>¤>“>‹>Š>>”>Ÿ>¯>Æ>ä??3?c?™?Ö@@c@²AA[A³BBhBÀCCdC¬CíD$DPDoDDˆD„DxDeDMD5D DDD%D?D`D‚D¥DÊDóE"EUEŠE¼C[C¨CöD¬>3=©=<ˆ;è;4:}9Ã8ù87<6N5X4m3›2ç2Z21ç1ô2)2„33œ4N5 5Ç6Š7H7ó8‰9 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aircraftRegistrationNumberOrOtherIdentification->code: '001008' aircraftRegistrationNumberOrOtherIdentification->units: CCITT IA5 aircraftRegistrationNumberOrOtherIdentification->scale: 0 aircraftRegistrationNumberOrOtherIdentification->reference: 0 aircraftRegistrationNumberOrOtherIdentification->width: 64 observationSequenceNumber->code: '001023' observationSequenceNumber->units: Numeric observationSequenceNumber->scale: 0 observationSequenceNumber->reference: 0 observationSequenceNumber->width: 9 aircraftFlightNumber->code: '001006' aircraftFlightNumber->units: CCITT IA5 aircraftFlightNumber->scale: 0 aircraftFlightNumber->reference: 0 aircraftFlightNumber->width: 64 aircraftTailNumber->code: '001110' aircraftTailNumber->units: CCITT IA5 aircraftTailNumber->scale: 0 aircraftTailNumber->reference: 0 aircraftTailNumber->width: 48 originationAirport->code: '001111' originationAirport->units: CCITT IA5 originationAirport->scale: 0 originationAirport->reference: 0 originationAirport->width: 24 destinationAirport->code: '001112' destinationAirport->units: CCITT IA5 destinationAirport->scale: 0 destinationAirport->reference: 0 destinationAirport->width: 24 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->associatedField->code: 0 year->associatedField->units: associated units year->associatedField->scale: 0 year->associatedField->reference: 0 year->associatedField->width: 2 year->associatedField->associatedFieldSignificance->code: '031021' year->associatedField->associatedFieldSignificance->units: CODE TABLE year->associatedField->associatedFieldSignificance->scale: 0 year->associatedField->associatedFieldSignificance->reference: 0 year->associatedField->associatedFieldSignificance->width: 6 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->associatedField->code: 0 month->associatedField->units: associated units month->associatedField->scale: 0 month->associatedField->reference: 0 month->associatedField->width: 2 month->associatedField->associatedFieldSignificance->code: '031021' month->associatedField->associatedFieldSignificance->units: CODE TABLE month->associatedField->associatedFieldSignificance->scale: 0 month->associatedField->associatedFieldSignificance->reference: 0 month->associatedField->associatedFieldSignificance->width: 6 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->associatedField->code: 0 day->associatedField->units: associated units day->associatedField->scale: 0 day->associatedField->reference: 0 day->associatedField->width: 2 day->associatedField->associatedFieldSignificance->code: '031021' day->associatedField->associatedFieldSignificance->units: CODE TABLE day->associatedField->associatedFieldSignificance->scale: 0 day->associatedField->associatedFieldSignificance->reference: 0 day->associatedField->associatedFieldSignificance->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->associatedField->code: 0 hour->associatedField->units: associated units hour->associatedField->scale: 0 hour->associatedField->reference: 0 hour->associatedField->width: 2 hour->associatedField->associatedFieldSignificance->code: '031021' hour->associatedField->associatedFieldSignificance->units: CODE TABLE hour->associatedField->associatedFieldSignificance->scale: 0 hour->associatedField->associatedFieldSignificance->reference: 0 hour->associatedField->associatedFieldSignificance->width: 6 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->associatedField->code: 0 minute->associatedField->units: associated units minute->associatedField->scale: 0 minute->associatedField->reference: 0 minute->associatedField->width: 2 minute->associatedField->associatedFieldSignificance->code: '031021' minute->associatedField->associatedFieldSignificance->units: CODE TABLE minute->associatedField->associatedFieldSignificance->scale: 0 minute->associatedField->associatedFieldSignificance->reference: 0 minute->associatedField->associatedFieldSignificance->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 second->associatedField->code: 0 second->associatedField->units: associated units second->associatedField->scale: 0 second->associatedField->reference: 0 second->associatedField->width: 2 second->associatedField->associatedFieldSignificance->code: '031021' second->associatedField->associatedFieldSignificance->units: CODE TABLE second->associatedField->associatedFieldSignificance->scale: 0 second->associatedField->associatedFieldSignificance->reference: 0 second->associatedField->associatedFieldSignificance->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->associatedField->code: 0 latitude->associatedField->units: associated units latitude->associatedField->scale: 0 latitude->associatedField->reference: 0 latitude->associatedField->width: 2 latitude->associatedField->associatedFieldSignificance->code: '031021' latitude->associatedField->associatedFieldSignificance->units: CODE TABLE latitude->associatedField->associatedFieldSignificance->scale: 0 latitude->associatedField->associatedFieldSignificance->reference: 0 latitude->associatedField->associatedFieldSignificance->width: 6 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->associatedField->code: 0 longitude->associatedField->units: associated units longitude->associatedField->scale: 0 longitude->associatedField->reference: 0 longitude->associatedField->width: 2 longitude->associatedField->associatedFieldSignificance->code: '031021' longitude->associatedField->associatedFieldSignificance->units: CODE TABLE longitude->associatedField->associatedFieldSignificance->scale: 0 longitude->associatedField->associatedFieldSignificance->reference: 0 longitude->associatedField->associatedFieldSignificance->width: 6 flightLevel->code: '007010' flightLevel->units: m flightLevel->scale: 0 flightLevel->reference: -1024 flightLevel->width: 16 flightLevel->associatedField->code: 0 flightLevel->associatedField->units: associated units flightLevel->associatedField->scale: 0 flightLevel->associatedField->reference: 0 flightLevel->associatedField->width: 2 flightLevel->associatedField->associatedFieldSignificance->code: '031021' flightLevel->associatedField->associatedFieldSignificance->units: CODE TABLE flightLevel->associatedField->associatedFieldSignificance->scale: 0 flightLevel->associatedField->associatedFieldSignificance->reference: 0 flightLevel->associatedField->associatedFieldSignificance->width: 6 globalNavigationSatelliteSystemAltitude->code: '010053' globalNavigationSatelliteSystemAltitude->units: m globalNavigationSatelliteSystemAltitude->scale: 0 globalNavigationSatelliteSystemAltitude->reference: -1000 globalNavigationSatelliteSystemAltitude->width: 17 globalNavigationSatelliteSystemAltitude->associatedField->code: 0 globalNavigationSatelliteSystemAltitude->associatedField->units: associated units globalNavigationSatelliteSystemAltitude->associatedField->scale: 0 globalNavigationSatelliteSystemAltitude->associatedField->reference: 0 globalNavigationSatelliteSystemAltitude->associatedField->width: 2 globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance->code: '031021' globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance->units: CODE TABLE globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance->scale: 0 globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance->reference: 0 globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance->width: 6 detailedPhaseOfFlight->code: '008009' detailedPhaseOfFlight->units: CODE TABLE detailedPhaseOfFlight->scale: 0 detailedPhaseOfFlight->reference: 0 detailedPhaseOfFlight->width: 4 detailedPhaseOfFlight->associatedField->code: 0 detailedPhaseOfFlight->associatedField->units: associated units detailedPhaseOfFlight->associatedField->scale: 0 detailedPhaseOfFlight->associatedField->reference: 0 detailedPhaseOfFlight->associatedField->width: 2 detailedPhaseOfFlight->associatedField->associatedFieldSignificance->code: '031021' detailedPhaseOfFlight->associatedField->associatedFieldSignificance->units: CODE TABLE detailedPhaseOfFlight->associatedField->associatedFieldSignificance->scale: 0 detailedPhaseOfFlight->associatedField->associatedFieldSignificance->reference: 0 detailedPhaseOfFlight->associatedField->associatedFieldSignificance->width: 6 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->associatedField->code: 0 windDirection->associatedField->units: associated units windDirection->associatedField->scale: 0 windDirection->associatedField->reference: 0 windDirection->associatedField->width: 2 windDirection->associatedField->associatedFieldSignificance->code: '031021' windDirection->associatedField->associatedFieldSignificance->units: CODE TABLE windDirection->associatedField->associatedFieldSignificance->scale: 0 windDirection->associatedField->associatedFieldSignificance->reference: 0 windDirection->associatedField->associatedFieldSignificance->width: 6 windSpeed->code: ['011002'] windSpeed->units: ['m/s'] windSpeed->scale: [1] windSpeed->reference: [0] windSpeed->width: [12] windSpeed->associatedField->code: 0 windSpeed->associatedField->units: associated units windSpeed->associatedField->scale: 0 windSpeed->associatedField->reference: 0 windSpeed->associatedField->width: 2 windSpeed->associatedField->associatedFieldSignificance->code: '031021' windSpeed->associatedField->associatedFieldSignificance->units: CODE TABLE windSpeed->associatedField->associatedFieldSignificance->scale: 0 windSpeed->associatedField->associatedFieldSignificance->reference: 0 windSpeed->associatedField->associatedFieldSignificance->width: 6 aircraftRollAngleQuality->code: '002064' aircraftRollAngleQuality->units: CODE TABLE aircraftRollAngleQuality->scale: 0 aircraftRollAngleQuality->reference: 0 aircraftRollAngleQuality->width: 2 aircraftRollAngleQuality->associatedField->code: 0 aircraftRollAngleQuality->associatedField->units: associated units aircraftRollAngleQuality->associatedField->scale: 0 aircraftRollAngleQuality->associatedField->reference: 0 aircraftRollAngleQuality->associatedField->width: 2 aircraftRollAngleQuality->associatedField->associatedFieldSignificance->code: '031021' aircraftRollAngleQuality->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftRollAngleQuality->associatedField->associatedFieldSignificance->scale: 0 aircraftRollAngleQuality->associatedField->associatedFieldSignificance->reference: 0 aircraftRollAngleQuality->associatedField->associatedFieldSignificance->width: 6 aircraftTrueAirspeed->code: '011100' aircraftTrueAirspeed->units: m/s aircraftTrueAirspeed->scale: 1 aircraftTrueAirspeed->reference: 0 aircraftTrueAirspeed->width: 12 aircraftTrueAirspeed->associatedField->code: 0 aircraftTrueAirspeed->associatedField->units: associated units aircraftTrueAirspeed->associatedField->scale: 0 aircraftTrueAirspeed->associatedField->reference: 0 aircraftTrueAirspeed->associatedField->width: 2 aircraftTrueAirspeed->associatedField->associatedFieldSignificance->code: '031021' aircraftTrueAirspeed->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftTrueAirspeed->associatedField->associatedFieldSignificance->scale: 0 aircraftTrueAirspeed->associatedField->associatedFieldSignificance->reference: 0 aircraftTrueAirspeed->associatedField->associatedFieldSignificance->width: 6 aircraftGroundSpeedUComponent->code: '011101' aircraftGroundSpeedUComponent->units: m/s aircraftGroundSpeedUComponent->scale: 1 aircraftGroundSpeedUComponent->reference: -4096 aircraftGroundSpeedUComponent->width: 13 aircraftGroundSpeedUComponent->associatedField->code: 0 aircraftGroundSpeedUComponent->associatedField->units: associated units aircraftGroundSpeedUComponent->associatedField->scale: 0 aircraftGroundSpeedUComponent->associatedField->reference: 0 aircraftGroundSpeedUComponent->associatedField->width: 2 aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance->code: '031021' aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance->scale: 0 aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance->reference: 0 aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance->width: 6 aircraftGroundSpeedVComponent->code: '011102' aircraftGroundSpeedVComponent->units: m/s aircraftGroundSpeedVComponent->scale: 1 aircraftGroundSpeedVComponent->reference: -4096 aircraftGroundSpeedVComponent->width: 13 aircraftGroundSpeedVComponent->associatedField->code: 0 aircraftGroundSpeedVComponent->associatedField->units: associated units aircraftGroundSpeedVComponent->associatedField->scale: 0 aircraftGroundSpeedVComponent->associatedField->reference: 0 aircraftGroundSpeedVComponent->associatedField->width: 2 aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance->code: '031021' aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance->scale: 0 aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance->reference: 0 aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance->width: 6 aircraftGroundSpeedWComponent->code: '011103' aircraftGroundSpeedWComponent->units: m/s aircraftGroundSpeedWComponent->scale: 1 aircraftGroundSpeedWComponent->reference: -512 aircraftGroundSpeedWComponent->width: 10 aircraftGroundSpeedWComponent->associatedField->code: 0 aircraftGroundSpeedWComponent->associatedField->units: associated units aircraftGroundSpeedWComponent->associatedField->scale: 0 aircraftGroundSpeedWComponent->associatedField->reference: 0 aircraftGroundSpeedWComponent->associatedField->width: 2 aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance->code: '031021' aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance->scale: 0 aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance->reference: 0 aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance->width: 6 aircraftTrueHeading->code: '011104' aircraftTrueHeading->units: deg aircraftTrueHeading->scale: 0 aircraftTrueHeading->reference: 0 aircraftTrueHeading->width: 9 aircraftTrueHeading->associatedField->code: 0 aircraftTrueHeading->associatedField->units: associated units aircraftTrueHeading->associatedField->scale: 0 aircraftTrueHeading->associatedField->reference: 0 aircraftTrueHeading->associatedField->width: 2 aircraftTrueHeading->associatedField->associatedFieldSignificance->code: '031021' aircraftTrueHeading->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftTrueHeading->associatedField->associatedFieldSignificance->scale: 0 aircraftTrueHeading->associatedField->associatedFieldSignificance->reference: 0 aircraftTrueHeading->associatedField->associatedFieldSignificance->width: 6 airTemperature->code: '012101' airTemperature->units: K airTemperature->scale: 2 airTemperature->reference: 0 airTemperature->width: 16 airTemperature->associatedField->code: 0 airTemperature->associatedField->units: associated units airTemperature->associatedField->scale: 0 airTemperature->associatedField->reference: 0 airTemperature->associatedField->width: 2 airTemperature->associatedField->associatedFieldSignificance->code: '031021' airTemperature->associatedField->associatedFieldSignificance->units: CODE TABLE airTemperature->associatedField->associatedFieldSignificance->scale: 0 airTemperature->associatedField->associatedFieldSignificance->reference: 0 airTemperature->associatedField->associatedFieldSignificance->width: 6 aircraftHumiditySensors->code: '002170' aircraftHumiditySensors->units: CODE TABLE aircraftHumiditySensors->scale: 0 aircraftHumiditySensors->reference: 0 aircraftHumiditySensors->width: 6 aircraftHumiditySensors->associatedField->code: 0 aircraftHumiditySensors->associatedField->units: associated units aircraftHumiditySensors->associatedField->scale: 0 aircraftHumiditySensors->associatedField->reference: 0 aircraftHumiditySensors->associatedField->width: 2 aircraftHumiditySensors->associatedField->associatedFieldSignificance->code: '031021' aircraftHumiditySensors->associatedField->associatedFieldSignificance->units: CODE TABLE aircraftHumiditySensors->associatedField->associatedFieldSignificance->scale: 0 aircraftHumiditySensors->associatedField->associatedFieldSignificance->reference: 0 aircraftHumiditySensors->associatedField->associatedFieldSignificance->width: 6 mixingRatio->code: '013002' mixingRatio->units: kg/kg mixingRatio->scale: 10 mixingRatio->reference: 0 mixingRatio->width: 30 mixingRatio->associatedField->code: 0 mixingRatio->associatedField->units: associated units mixingRatio->associatedField->scale: 0 mixingRatio->associatedField->reference: 0 mixingRatio->associatedField->width: 2 mixingRatio->associatedField->associatedFieldSignificance->code: '031021' mixingRatio->associatedField->associatedFieldSignificance->units: CODE TABLE mixingRatio->associatedField->associatedFieldSignificance->scale: 0 mixingRatio->associatedField->associatedFieldSignificance->reference: 0 mixingRatio->associatedField->associatedFieldSignificance->width: 6 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 2 relativeHumidity->reference: 0 relativeHumidity->width: 14 relativeHumidity->associatedField->code: 0 relativeHumidity->associatedField->units: associated units relativeHumidity->associatedField->scale: 0 relativeHumidity->associatedField->reference: 0 relativeHumidity->associatedField->width: 2 relativeHumidity->associatedField->associatedFieldSignificance->code: '031021' relativeHumidity->associatedField->associatedFieldSignificance->units: CODE TABLE relativeHumidity->associatedField->associatedFieldSignificance->scale: 0 relativeHumidity->associatedField->associatedFieldSignificance->reference: 0 relativeHumidity->associatedField->associatedFieldSignificance->width: 6 shortDelayedDescriptorReplicationFactor->code: '031000' shortDelayedDescriptorReplicationFactor->units: Numeric shortDelayedDescriptorReplicationFactor->scale: 0 shortDelayedDescriptorReplicationFactor->reference: 0 shortDelayedDescriptorReplicationFactor->width: 1 moistureQuality->code: '033026' moistureQuality->units: CODE TABLE moistureQuality->scale: 0 moistureQuality->reference: 0 moistureQuality->width: 6 moistureQuality->associatedField->code: 0 moistureQuality->associatedField->units: associated units moistureQuality->associatedField->scale: 0 moistureQuality->associatedField->reference: 0 moistureQuality->associatedField->width: 2 moistureQuality->associatedField->associatedFieldSignificance->code: '031021' moistureQuality->associatedField->associatedFieldSignificance->units: CODE TABLE moistureQuality->associatedField->associatedFieldSignificance->scale: 0 moistureQuality->associatedField->associatedFieldSignificance->reference: 0 moistureQuality->associatedField->associatedFieldSignificance->width: 6 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 dewpointTemperature->code: '012103' dewpointTemperature->units: K dewpointTemperature->scale: 2 dewpointTemperature->reference: 0 dewpointTemperature->width: 16 dewpointTemperature->associatedField->code: 0 dewpointTemperature->associatedField->units: associated units dewpointTemperature->associatedField->scale: 0 dewpointTemperature->associatedField->reference: 0 dewpointTemperature->associatedField->width: 2 dewpointTemperature->associatedField->associatedFieldSignificance->code: '031021' dewpointTemperature->associatedField->associatedFieldSignificance->units: CODE TABLE 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buoyOrPlatformIdentifier->scale: 0 buoyOrPlatformIdentifier->reference: 0 buoyOrPlatformIdentifier->width: 17 shipOrMobileLandStationIdentifier->code: '001011' shipOrMobileLandStationIdentifier->units: CCITT IA5 shipOrMobileLandStationIdentifier->scale: 0 shipOrMobileLandStationIdentifier->reference: 0 shipOrMobileLandStationIdentifier->width: 72 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 indicatorForMethodOfCalculatingSpectralWaveData->code: '002044' indicatorForMethodOfCalculatingSpectralWaveData->units: CODE TABLE indicatorForMethodOfCalculatingSpectralWaveData->scale: 0 indicatorForMethodOfCalculatingSpectralWaveData->reference: 0 indicatorForMethodOfCalculatingSpectralWaveData->width: 4 platformType->code: '002045' platformType->units: CODE TABLE platformType->scale: 0 platformType->reference: 0 platformType->width: 4 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 totalWaterDepth->code: '022063' totalWaterDepth->units: m totalWaterDepth->scale: 0 totalWaterDepth->reference: 0 totalWaterDepth->width: 14 directionFromWhichDominantWavesAreComing->code: '022076' directionFromWhichDominantWavesAreComing->units: deg directionFromWhichDominantWavesAreComing->scale: 0 directionFromWhichDominantWavesAreComing->reference: 0 directionFromWhichDominantWavesAreComing->width: 9 directionalSpreadOfDominantWave->code: '022077' directionalSpreadOfDominantWave->units: deg directionalSpreadOfDominantWave->scale: 0 directionalSpreadOfDominantWave->reference: 0 directionalSpreadOfDominantWave->width: 9 totalNumberOfWaveBands->code: '022094' totalNumberOfWaveBands->units: Numeric totalNumberOfWaveBands->scale: 0 totalNumberOfWaveBands->reference: 0 totalNumberOfWaveBands->width: 7 waveSamplingIntervalTime->code: '025043' waveSamplingIntervalTime->units: s waveSamplingIntervalTime->scale: 4 waveSamplingIntervalTime->reference: 0 waveSamplingIntervalTime->width: 15 durationOfWaveRecord->code: '022078' durationOfWaveRecord->units: s durationOfWaveRecord->scale: 0 durationOfWaveRecord->reference: 0 durationOfWaveRecord->width: 12 waveMeasurementInstrumentation->code: '002046' waveMeasurementInstrumentation->units: CODE TABLE waveMeasurementInstrumentation->scale: 0 waveMeasurementInstrumentation->reference: 0 waveMeasurementInstrumentation->width: 4 significantWaveHeight->code: '022070' significantWaveHeight->units: m significantWaveHeight->scale: 2 significantWaveHeight->reference: 0 significantWaveHeight->width: 13 spectralPeakWavePeriod->code: '022071' spectralPeakWavePeriod->units: s spectralPeakWavePeriod->scale: 1 spectralPeakWavePeriod->reference: 0 spectralPeakWavePeriod->width: 9 maximumWaveHeight->code: '022073' maximumWaveHeight->units: m maximumWaveHeight->scale: 2 maximumWaveHeight->reference: 0 maximumWaveHeight->width: 13 averageWavePeriod->code: '022074' averageWavePeriod->units: s averageWavePeriod->scale: 1 averageWavePeriod->reference: 0 averageWavePeriod->width: 9 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 decimalScaleOfFollowingSignificands->code: '008090' decimalScaleOfFollowingSignificands->units: Numeric decimalScaleOfFollowingSignificands->scale: 0 decimalScaleOfFollowingSignificands->reference: -127 decimalScaleOfFollowingSignificands->width: 8 scaledMaximumNonDirectionalSpectralWaveDensityByFrequency->code: '022102' scaledMaximumNonDirectionalSpectralWaveDensityByFrequency->units: m2 s scaledMaximumNonDirectionalSpectralWaveDensityByFrequency->scale: 0 scaledMaximumNonDirectionalSpectralWaveDensityByFrequency->reference: 0 scaledMaximumNonDirectionalSpectralWaveDensityByFrequency->width: 14 bandContainingMaximumNonDirectionalSpectralWaveDensity->code: '022084' bandContainingMaximumNonDirectionalSpectralWaveDensity->units: Numeric bandContainingMaximumNonDirectionalSpectralWaveDensity->scale: 0 bandContainingMaximumNonDirectionalSpectralWaveDensity->reference: 0 bandContainingMaximumNonDirectionalSpectralWaveDensity->width: 7 wavebandCentralFrequency->code: '022080' wavebandCentralFrequency->units: Hz wavebandCentralFrequency->scale: 3 wavebandCentralFrequency->reference: 0 wavebandCentralFrequency->width: 10 spectralWaveDensityRatio->code: '022108' spectralWaveDensityRatio->units: % spectralWaveDensityRatio->scale: 0 spectralWaveDensityRatio->reference: 0 spectralWaveDensityRatio->width: 7 meanDirectionFromWhichWavesAreComing->code: '022086' meanDirectionFromWhichWavesAreComing->units: deg meanDirectionFromWhichWavesAreComing->scale: 0 meanDirectionFromWhichWavesAreComing->reference: 0 meanDirectionFromWhichWavesAreComing->width: 9 principalDirectionFromWhichWavesAreComing->code: '022087' principalDirectionFromWhichWavesAreComing->units: deg principalDirectionFromWhichWavesAreComing->scale: 0 principalDirectionFromWhichWavesAreComing->reference: 0 principalDirectionFromWhichWavesAreComing->width: 9 firstNormalizedPolarCoordinateFromFourierCoefficients->code: '022088' firstNormalizedPolarCoordinateFromFourierCoefficients->units: Numeric firstNormalizedPolarCoordinateFromFourierCoefficients->scale: 2 firstNormalizedPolarCoordinateFromFourierCoefficients->reference: 0 firstNormalizedPolarCoordinateFromFourierCoefficients->width: 7 secondNormalizedPolarCoordinateFromFourierCoefficients->code: '022089' secondNormalizedPolarCoordinateFromFourierCoefficients->units: Numeric secondNormalizedPolarCoordinateFromFourierCoefficients->scale: 2 secondNormalizedPolarCoordinateFromFourierCoefficients->reference: 0 secondNormalizedPolarCoordinateFromFourierCoefficients->width: 7 scaledDirectionalSpectralWaveDensityByFrequency->code: '022106' scaledDirectionalSpectralWaveDensityByFrequency->units: m2 rad-1 s scaledDirectionalSpectralWaveDensityByFrequency->scale: 0 scaledDirectionalSpectralWaveDensityByFrequency->reference: 0 scaledDirectionalSpectralWaveDensityByFrequency->width: 14 directionFromWhichWavesAreComing->code: '022186' directionFromWhichWavesAreComing->units: deg directionFromWhichWavesAreComing->scale: 0 directionFromWhichWavesAreComing->reference: 0 directionFromWhichWavesAreComing->width: 9 directionalSpreadOfWaves->code: '022187' directionalSpreadOfWaves->units: deg directionalSpreadOfWaves->scale: 0 directionalSpreadOfWaves->reference: 0 directionalSpreadOfWaves->width: 9 ecmwf-eccodes-python-b43a0f2/tests/sample-data/acars.items0000664000175000017500000000457715172126764024042 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 4 dataSubCategory 145 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 14 typicalMonth 1 typicalDay 28 typicalHour 3 typicalMinute 1 typicalDate 20140128 typicalTime 030100 numberOfSubsets 1 observedData 1 compressedData 0 unexpandedDescriptors [ 1006 1008 2061 2062 2002 2005 2070 2063 2001 4001 4002 4003 4004 4005 5002 6002 8004 7004 8021 11001 11002 11031 11034 11035 12001 12003 13003 20041 222000 101028 31031 1031 1201 101028 33007] aircraftFlightNumber ZT2BTNYQ aircraftFlightNumber->percentConfidence 70 aircraftRegistrationNumberOrOtherIdentification 2INHOABA aircraftRegistrationNumberOrOtherIdentification->percentConfidence 70 aircraftNavigationalSystem -- aircraftNavigationalSystem->percentConfidence -- aircraftDataRelaySystemType 3 aircraftDataRelaySystemType->percentConfidence 70 instrumentationForWindMeasurement 4 instrumentationForWindMeasurement->percentConfidence 70 temperatureObservationPrecision 0.25 temperatureObservationPrecision->percentConfidence 70 originalSpecificationOfLatitudeOrLongitude 10 originalSpecificationOfLatitudeOrLongitude->percentConfidence 70 aircraftRollAngle -- aircraftRollAngle->percentConfidence -- stationType 0 stationType->percentConfidence 70 year 2014 year->percentConfidence 70 month 1 month->percentConfidence 70 day 28 day->percentConfidence 70 hour 3 hour->percentConfidence 70 minute 1 minute->percentConfidence 70 latitude 30.8 latitude->percentConfidence 89 longitude -82.08 longitude->percentConfidence 89 phaseOfAircraftFlight 3 phaseOfAircraftFlight->percentConfidence 70 pressure 21580.0 pressure->percentConfidence 79 timeSignificance -- timeSignificance->percentConfidence -- windDirection 270 windDirection->percentConfidence 70 windSpeed 62.2 windSpeed->percentConfidence 70 degreeOfTurbulence -- degreeOfTurbulence->percentConfidence -- verticalGustVelocity -- verticalGustVelocity->percentConfidence -- verticalGustAcceleration -- verticalGustAcceleration->percentConfidence -- airTemperature 224.4 airTemperature->percentConfidence 70 dewpointTemperature -- dewpointTemperature->percentConfidence -- relativeHumidity -- relativeHumidity->percentConfidence -- airframeIcing -- airframeIcing->percentConfidence -- centre 98 generatingApplication 1 ecmwf-eccodes-python-b43a0f2/tests/sample-data/temp.items0000664000175000017500000003347315172126764023713 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 2 dataSubCategory 101 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 14 typicalMonth 1 typicalDay 28 typicalHour 4 typicalMinute 0 typicalDate 20140128 typicalTime 040000 numberOfSubsets 1 observedData 1 compressedData 0 unexpandedDescriptors [309007 222000 101000 31002 31031 1031 1032 101000 31002 33007] blockNumber 6 blockNumber->percentConfidence 70 stationNumber 60 stationNumber->percentConfidence 70 radiosondeType 17 radiosondeType->percentConfidence 70 radiosondeComputationalMethod 5 radiosondeComputationalMethod->percentConfidence 70 year 2014 year->percentConfidence 70 month 1 month->percentConfidence 70 day 28 day->percentConfidence 70 hour 4 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude 56.290000000000006 latitude->percentConfidence 70 longitude 9.110000000000001 longitude->percentConfidence 70 heightOfStation 53 heightOfStation->percentConfidence 70 cloudCoverTotal -- verticalSignificanceSurfaceObservations 1 verticalSignificanceSurfaceObservations->percentConfidence 70 cloudAmount 8 cloudAmount->percentConfidence 70 heightOfBaseOfCloud 80.0 heightOfBaseOfCloud->percentConfidence 70 cloudType [36 -- --] cloudType->percentConfidence [70 -- --] delayedDescriptorReplicationFactor 31 delayedDescriptorReplicationFactor->percentConfidence 70 pressure [100000. 99500. 96100. 92900. 92500. 88800. 85000. 84400. 80000. 79600. 75900. 70000. 69900. 62100. 60400. 60000. 57000. 55300. 53700. 52200. 50800. 50000. 49500. 46700. 45300. 44000. 42700. 41500. 40200. 40000. 39000.] pressure->percentConfidence [75 70 75 75 82 75 82 75 75 75 75 82 75 75 75 75 75 75 75 75 75 82 75 75 75 75 75 75 75 82 75] verticalSoundingSignificance [32 70 2 2 32 6 32 2 6 2 2 32 2 2 2 6 2 2 2 2 2 32 2 2 2 2 2 2 2 32 2] verticalSoundingSignificance->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] nonCoordinateGeopotential [110.0 520.0 -- -- 6160.0 -- 12670.0 -- -- -- -- 27290.0 -- -- -- -- -- -- -- -- -- 51190.0 -- -- -- -- -- -- -- 66100.0 --] nonCoordinateGeopotential->percentConfidence [70 70 -- -- 70 -- 70 -- -- -- -- 70 -- -- -- -- -- -- -- -- -- 70 -- -- -- -- -- -- -- 70 --] airTemperature [-- 272.3 -- -- 270.5 -- 266.90000000000003 -- -- -- -- 257.90000000000003 -- -- -- -- -- -- -- -- -- 238.70000000000002 -- -- -- -- -- -- -- 225.3 --] airTemperature->percentConfidence [-- 70 -- -- 70 -- 70 -- -- -- -- 70 -- -- -- -- -- -- -- -- -- 70 -- -- -- -- -- -- -- 70 --] dewpointTemperature [-- 271.8 -- -- 269.0 -- 264.1 -- -- -- -- 247.9 -- -- -- -- -- -- -- -- -- 234.8 -- -- -- -- -- -- -- -- --] dewpointTemperature->percentConfidence [-- 70 -- -- 70 -- 70 -- -- -- -- 70 -- -- -- -- -- -- -- -- -- 70 -- -- -- -- -- -- -- -- --] windDirection [-- 110 115 145 145 155 165 170 165 165 150 150 155 165 175 175 190 205 200 220 230 235 235 265 260 270 270 295 335 340 340] windDirection->percentConfidence [-- 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] windSpeed [-- 6.0 12.0 16.0 15.0 14.0 14.0 14.0 12.0 12.0 12.0 13.0 13.0 13.0 9.0 9.0 9.0 7.0 5.0 4.0 7.0 7.0 7.0 6.0 7.0 8.0 6.0 6.0 5.0 4.0 3.0] windSpeed->percentConfidence [-- 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] extendedDelayedDescriptorReplicationFactor [237 157] centre 98 generatingApplication 1 messageNumber 2 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 2 dataSubCategory 101 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 16 typicalMonth 1 typicalDay 19 typicalHour 0 typicalMinute 0 typicalDate 20160119 typicalTime 000000 rdbType 5 oldSubtype 101 localYear 2016 localMonth 1 localDay 19 localHour 0 localMinute 0 localSecond 0 rdbtimeDay 19 rdbtimeHour 0 rdbtimeMinute 47 rdbtimeSecond 12 rdbtimeTime 004712 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 1 correction3 0 correction3Part 1 correction4 0 correction4Part 1 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude 51.27 localLongitude -80.65 ident 71836 observedData 1 compressedData 0 unexpandedDescriptors [309007 222000 101000 31002 31031 1031 1032 101000 31002 33007 223000 101000 31002 31031 1031 1032 101000 31002 223255] blockNumber 71 blockNumber->percentConfidence 70 stationNumber 836 stationNumber->percentConfidence 70 radiosondeType 80 radiosondeType->percentConfidence 70 radiosondeComputationalMethod 4 radiosondeComputationalMethod->percentConfidence 70 year 2016 year->percentConfidence 70 month 1 month->percentConfidence 70 day 19 day->percentConfidence 70 hour 0 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude 51.27 latitude->percentConfidence 70 longitude -80.65 longitude->percentConfidence 70 heightOfStation 11 heightOfStation->percentConfidence 70 cloudCoverTotal -- verticalSignificanceSurfaceObservations 1 verticalSignificanceSurfaceObservations->percentConfidence 70 cloudAmount -- cloudAmount->percentConfidence 70 heightOfBaseOfCloud -- cloudType [-- -- --] delayedDescriptorReplicationFactor 53 delayedDescriptorReplicationFactor->percentConfidence 70 pressure [101500. 101400. 100700. 100000. 92500. 91000. 89100. 85100. 85000. 81000. 74700. 70000. 68900. 66600. 61200. 59400. 57900. 55300. 50000. 49900. 46500. 42200. 40000. 36300. 33200. 32900. 32800. 32000. 31500. 31300. 30500. 30200. 30000. 29700. 29400. 26200. 25000. 23900. 20700. 20000. 18900. 17200. 15000. 14400. 12500. 11300. 10000. 7710. 7000. 6330. 5000. 4150. 3930.] pressure->percentConfidence [70 75 75 82 82 75 75 75 82 75 75 82 75 75 75 75 75 75 82 75 75 75 82 75 75 75 75 75 75 75 75 75 82 75 75 79 82 75 75 82 75 75 82 75 75 75 82 75 82 75 82 75 75] verticalSoundingSignificance [68 4 4 32 32 4 4 4 32 4 4 32 4 4 4 4 4 4 32 4 4 4 32 4 4 4 4 4 4 4 4 4 32 4 4 20 32 4 4 32 4 4 32 4 4 4 36 4 32 4 32 8 4] verticalSoundingSignificance->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] nonCoordinateGeopotential [110.0 180.0 690.0 1190.0 6890.0 8080.0 9620.0 13010.0 13100.0 16660.0 22630.0 27400.0 28540.0 30990.0 37030.0 39130.0 40920.0 44140.0 51090.0 51220.0 55980.0 62430.0 66000.0 72230.0 77910.0 78480.0 78670.0 80220.0 81210.0 81610.0 83220.0 83840.0 84340.0 84870.0 85500.0 92610.0 95610.0 98240.0 107090.0 109340.0 112710.0 118570.0 127190.0 129700.0 138540.0 144860.0 152590.0 168730.0 174750.0 180870.0 195350.0 -- 209840.0] nonCoordinateGeopotential->substitutedValue [100.0 170.0 680.0 1180.0 6880.0 8070.0 9610.0 13000.0 13090.0 16650.0 22630.0 27400.0 28540.0 31000.0 37030.0 39140.0 40930.0 44140.0 51110.0 51230.0 56000.0 62460.0 66040.0 72270.0 77950.0 78520.0 78710.0 80260.0 81250.0 81650.0 83260.0 83880.0 84380.0 84920.0 85550.0 92690.0 95710.0 98330.0 107160.0 109410.0 112790.0 118670.0 127320.0 129840.0 138690.0 145020.0 152760.0 168940.0 174980.0 181100.0 195590.0 -- 210140.0] nonCoordinateGeopotential->percentConfidence [70 70 70 74 74 70 70 70 74 70 70 74 70 70 70 70 70 70 74 70 70 70 74 70 70 70 70 70 70 70 70 70 74 70 70 70 74 70 70 74 70 70 74 70 70 70 74 70 74 70 74 -- 70] airTemperature [253.9 253.70000000000002 255.10000000000002 255.10000000000002 253.9 253.70000000000002 255.10000000000002 257.90000000000003 257.90000000000003 257.90000000000003 256.1 253.9 253.10000000000002 251.10000000000002 246.3 244.3 244.10000000000002 242.9 237.5 237.3 233.3 230.10000000000002 228.10000000000002 223.3 219.70000000000002 219.70000000000002 219.70000000000002 218.5 218.10000000000002 217.70000000000002 216.9 216.3 216.3 215.9 215.9 214.10000000000002 214.3 213.10000000000002 215.9 215.5 215.10000000000002 217.9 217.9 218.70000000000002 216.9 219.10000000000002 218.10000000000002 216.3 214.3 212.70000000000002 212.70000000000002 -- 210.9] airTemperature->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 -- 70] dewpointTemperature [251.60000000000002 249.4 251.4 251.4 248.9 247.70000000000002 250.10000000000002 247.9 247.9 236.9 232.10000000000002 235.9 237.10000000000002 238.10000000000002 230.3 236.3 242.20000000000002 239.4 233.9 233.70000000000002 231.0 225.9 224.60000000000002 220.9 214.70000000000002 209.70000000000002 207.70000000000002 208.5 213.3 211.70000000000002 211.9 214.0 213.3 209.9 204.9 194.10000000000002 191.3 190.10000000000002 186.9 187.5 187.10000000000002 185.9 185.9 185.70000000000002 184.9 186.10000000000002 186.10000000000002 184.3 183.3 181.70000000000002 181.70000000000002 -- 180.9] dewpointTemperature->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 -- 70] windDirection [-- -- -- 290 320 -- -- -- 325 -- -- 350 -- -- -- -- -- -- 60 -- -- -- 70 -- -- -- -- -- -- -- -- -- 75 -- -- 75 65 -- -- 50 -- -- 360 -- -- -- 325 -- 315 -- 310 310 --] windDirection->percentConfidence [-- -- -- 70 70 -- -- -- 70 -- -- 70 -- -- -- -- -- -- 70 -- -- -- 70 -- -- -- -- -- -- -- -- -- 70 -- -- 70 70 -- -- 70 -- -- 70 -- -- -- 70 -- 70 -- 70 70 --] windSpeed [-- -- -- 10.0 10.0 -- -- -- 11.0 -- -- 13.0 -- -- -- -- -- -- 18.0 -- -- -- 25.0 -- -- -- -- -- -- -- -- -- 29.0 -- -- 22.0 19.0 -- -- 17.0 -- -- 15.0 -- -- -- 20.0 -- 29.0 -- 29.0 34.0 --] windSpeed->percentConfidence [-- -- -- 70 70 -- -- -- 70 -- -- 70 -- -- -- -- -- -- 70 -- -- -- 70 -- -- -- -- -- -- -- -- -- 70 -- -- 70 70 -- -- 70 -- -- 70 -- -- -- 70 -- 70 -- 70 70 --] extendedDelayedDescriptorReplicationFactor [391 307 391 52] centre [98 98] generatingApplication [ 1 10] messageNumber 3 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 2 dataSubCategory 101 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 79 typicalMonth 4 typicalDay 8 typicalHour 23 typicalMinute 0 typicalDate 20790408 typicalTime 230000 rdbType 5 oldSubtype 101 localYear 1979 localMonth 4 localDay 8 localHour 23 localMinute 0 localSecond 0 rdbtimeDay 0 rdbtimeHour 0 rdbtimeMinute 0 rdbtimeSecond 0 rdbtimeTime 000000 rectimeDay 0 rectimeHour 0 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 50 newSubtype 0 numberOfSubsets 1 localLatitude -54.5 localLongitude 158.95 ident 94998 observedData 1 compressedData 0 unexpandedDescriptors [309007 222000 101000 31002 31031 1031 1032 101000 31002 33007] blockNumber 94 blockNumber->percentConfidence 70 stationNumber 998 stationNumber->percentConfidence 70 radiosondeType 79 radiosondeType->percentConfidence 70 radiosondeComputationalMethod -- year 1979 year->percentConfidence 70 month 4 month->percentConfidence 70 day 8 day->percentConfidence 70 hour 23 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude -54.50000000000001 latitude->percentConfidence 70 longitude 158.94998 longitude->percentConfidence 70 heightOfStation 6 heightOfStation->percentConfidence 70 cloudCoverTotal -- verticalSignificanceSurfaceObservations -- cloudAmount -- heightOfBaseOfCloud -- cloudType [-- -- --] delayedDescriptorReplicationFactor 36 delayedDescriptorReplicationFactor->percentConfidence 70 pressure [101000. 100000. 85100. 85000. 81600. 74800. 70000. 67600. 63900. 58600. 53400. 50000. 49800. 44300. 40000. 39700. 30000. 25000. 23900. 23900. 20800. 20000. 15300. 15000. 10500. 10000. 7800. 7400. 7000. 5300. 5000. 3700. 3000. 2300. 2000. 0.] pressure->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] verticalSoundingSignificance [64 32 4 32 4 4 32 4 4 4 4 32 4 4 32 4 36 32 4 16 4 32 4 32 4 32 4 4 32 4 32 4 32 4 32 4] verticalSoundingSignificance->percentConfidence [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] nonCoordinateGeopotential [60.0 830.0 -- 13570.0 -- -- 28460.0 -- -- -- -- 53150.0 -- -- 68650.0 -- 87480.0 98750.0 -- -- -- 112580.0 -- 130820.0 -- 156710.0 -- -- 179460.0 -- 200840.0 -- 233500.0 -- 259190.0 --] nonCoordinateGeopotential->percentConfidence [70 75 -- 75 -- -- 75 -- -- -- -- 75 -- -- 75 -- 75 75 -- -- -- 75 -- 75 -- 75 -- -- 75 -- 75 -- 75 -- 75 --] airTemperature [279. 278.2 266.7 266.7 266.3 268.7 265.1 263.5 259.5 255.1 250.1 247.7 247.5 240.5 235.1 234.7 219.5 214.1 212.5 212.5 219.5 219.9 222.5 222.5 222.1 225.1 221.1 223.5 223.1 220.7 221.3 224.3 222.3 219.7 222.1 228.5] airTemperature->percentConfidence [70 70 70 70 70 50 50 70 70 70 70 50 50 70 70 70 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 70] dewpointTemperature [273.90000000000003 273.2 261.7 261.7 261.0 -- -- 249.5 249.5 240.10000000000002 236.10000000000002 -- -- 228.5 224.10000000000002 223.70000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 201.5] dewpointTemperature->percentConfidence [70 70 70 70 70 -- -- 70 70 70 70 -- -- 70 70 70 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 70] windDirection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] windSpeed [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] extendedDelayedDescriptorReplicationFactor [272 148] centre 98 generatingApplication 1 ecmwf-eccodes-python-b43a0f2/tests/sample-data/aura-omi-ak.bufr0000664000175000017500000000322415172126764024655 0ustar alastairalastairBUFR‘bÑ eÞ,q ÀÓÊÁ Á ÁB(+  (+,!6 (N‡‡ZZ+D‡ ‡,˜¤A! A˜ÿ˜¥! A˜ÿþÅļ€ˆ0‘¨ÔiT°®­õX«>Â|‡ßåK3²ôê³· ÞïꆡÉ'e©•bÀ®G@1ç¢þÔ™²F¥Ø´€\ÉeMÄž¶°Irõ#WÊW*‹Ô_]ÄT2Õ¨üÅJ³ O²²” ~'ØÆÚÃÐJ5:$*å+*>&Û±9M¬º¾.¹G¬]û2²¡—GõzVp\•äPL<¹gF82‰A¨åU lä^Ú1´-“T -¬Öì– }lŽŸ5• íÒ`´Ó»gSÌ~k€hð¦9—5W! ±MAHi fªöµŽ l¸@Yî,·Y°i cø½ j¨o†“ ºý ýä4Km1×¹«ÈOrÆ<ªš×9ç ž°ÿÿÿ`’O€¬¢Æ(Ž„H Òáñ„8üŽ$²Ï<‘j“aÞ(&&E¦†…¦@ úØB¨€÷` Ãm ›L‡?eHÜHt4°ÑnèÄ\WF€¢6z‚ÆPöð €XÐ@Ð+àÐfhÐÌxÐj°ÐJÈÐrèÐåxСpÐCØÐ ¶0Ð FHÐ úØB¨€õ0©*”…6Þ+>âo1$tÀ¸ª·Žª _©!L Ñ:Ý‹’ä,`€GÊEpœ-èÊ0@÷)”Á堧ё×[«ß[æ:SËBøø`ˆ€‰."½1 Oâm´NfV}'Èz!m¬œ18~  XHâ… Œá áOB= H‰QfGZBØê ¹: K€dj…®ÞIr~FS®¢ØD|M9¶ìÜÏçŸàý¡ t r CªõÒ<¤ØÀ¤Àñ`ƒ¶¿rL!¤þ©[˜8ëBMÈ U¸à¢~ðKaC@]L6Q ía˜}Èþ‹¤£t%q€5Iè c UGMLÆ+”À®,50±áŒV€ÔèŒæ2=Cu@)t*ÉAˆIÏâŽbã€ܘk#pxZ?b¦ø (0ÁÈTáR¤Í#„±¶åà×€Z&H(HA¨/3Û å;£|Þ_)WOCÜH%›Ä…qˆôcf‰ ­„"i²zm¤Ø… 'dÿåØG—‰ ÕûG qÓHE rŠÔˆÂ w§÷É|pðwÓJ8Ÿ•·H„„P¯T—§)šmoÂÿüþ€ ˜µKŸƒdÕÕ‘” $ʯ pÊ?¾MÓÊÒÅ®F7ÀÉz‚Œ ¹úËÇ‹zî=”ìÅê¢ë[RCL¤:’ δÀ\š¬ì¦·Á‚è§úxƃ(„ãlüy@ÒúÑa7íLeC0AlU%x,uÙ@x•æ0,©Ò *›\ÉäP8θº^<@Z$ybNÅLŸ=‘‘ƒ.M@Q Ž1PbRÇyÂ6Žöñ¥÷Á.]€“H´T#2Åy§?ì“ΪZFßç§Ý8_'±‘xy4`yÒCu#5×"óÛ ›‹£0ÈÇÞg¾õ¸ïŸA·‘¸Ñ:a€LÿQÙ£ÄO‡|°ƒvà‡*R:¤“jÀ @ @ @ @ @ @ @ @ @ @N\(- á(Aæ1ô¦MI …l"€ÄˆŽ}JaQL(¤QLªÈ(QRSºî ãP7777MI ecmwf-eccodes-python-b43a0f2/tests/sample-data/synop.bufr0000664000175000017500000000122415172126764023720 0ustar alastairalastairBUFRÜb€   4}‘a€A[rzǤ01001 Üa‡Fa†¶F€Ç  –A1 A1!n¯²,0¬zB Ûfki°Ÿ (5\ÕwðáL,€ÀA—ßÿÿø_ÿÿÿÿÿÿÿü_ÿð hÑ£F4hÒåJ›>4jcR«5XÕjU«V4hÑ£F4hÑ£F4`7777BUFRÜb€   4}‘a€J“Ìi001003 Üa‡Fa†¶F€Ç  –A1 A1!n¯²,0ö“Tž`sÿùР"(U>SGôâ„+@˜xÿÿø_ÿÿÿÿÿÿÿüÿð hÑ£F4hÑ£F›>4jcR«5XÕjU«V4hÑ£F4hÑ£F4`7777BUFRÜb€   4}‘a€I7*€à001007 Üa‡Fa†¶<€Ç  –A1 A1!n¯²,0I¹PŠsùÒ`KU>Ó/õÜ„,€Àx›ßÿÿø_ÿÿÿÿÿÿÿüà hÑ£F4hÏ<›>4hÓcR«5XÕjU«V4hÑ£F4hÑ£F4`7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/rwp_jma.attributes0000664000175000017500000000444415172126764025446 0ustar alastairalastairmessageNumber: 1 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 latitude->code: '005002' latitude->units: deg latitude->scale: 2 latitude->reference: -9000 latitude->width: 15 longitude->code: '006002' longitude->units: deg longitude->scale: 2 longitude->reference: -18000 longitude->width: 16 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 measuringEquipmentType->code: '002003' measuringEquipmentType->units: CODE TABLE measuringEquipmentType->scale: 0 measuringEquipmentType->reference: 0 measuringEquipmentType->width: 4 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timePeriod->code: '004025' timePeriod->units: min timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 heightAboveStation->code: '007006' heightAboveStation->units: m heightAboveStation->scale: 0 heightAboveStation->reference: 0 heightAboveStation->width: 15 u->code: '011003' u->units: m/s u->scale: 1 u->reference: -4096 u->width: 13 v->code: '011004' v->units: m/s v->scale: 1 v->reference: -4096 v->width: 13 w->code: '011006' w->units: m/s w->scale: 2 w->reference: -4096 w->width: 13 signalToNoiseRatio->code: '021030' signalToNoiseRatio->units: dB signalToNoiseRatio->scale: 0 signalToNoiseRatio->reference: -32 signalToNoiseRatio->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/wave.items0000664000175000017500000001204615172126764023701 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 31 dataSubCategory 134 masterTablesVersionNumber 28 localTablesVersionNumber 0 typicalYearOfCentury 20 typicalMonth 9 typicalDay 14 typicalHour 10 typicalMinute 30 typicalDate 20200914 typicalTime 103000 rdbType 6 oldSubtype 134 localYear 2020 localMonth 9 localDay 14 localHour 10 localMinute 30 localSecond 0 rdbtimeDay 14 rdbtimeHour 13 rdbtimeMinute 2 rdbtimeSecond 57 rdbtimeTime 130257 rectimeDay 14 rectimeHour 13 rectimeMinute 2 rectimeSecond 57 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude -23.88333 localLongitude 151.5 ident 55038 observedData 1 compressedData 0 unexpandedDescriptors [308015] regionNumber 5 wmoRegionSubArea 5 buoyOrPlatformIdentifier 55038 shipOrMobileLandStationIdentifier MOLODEZNA satelliteIdentifier -- blockNumber -- stationNumber -- indicatorForMethodOfCalculatingSpectralWaveData 1 platformType 1 year 2020 month 9 day 14 hour 10 minute 30 latitude -23.88333 longitude 151.5 totalWaterDepth 16 directionFromWhichDominantWavesAreComing 68 directionalSpreadOfDominantWave 18 totalNumberOfWaveBands 64 waveSamplingIntervalTime 0.8 durationOfWaveRecord 1597 waveMeasurementInstrumentation [1 2 1] significantWaveHeight [0.72 --] spectralPeakWavePeriod [8.200000000000001 --] maximumWaveHeight [1.28 --] averageWavePeriod [4.5 --] delayedDescriptorReplicationFactor [ 1 64 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] decimalScaleOfFollowingSignificands [-4 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -4 -- -4 -- -4 -- -4 -- -4 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 -- -5 --] scaledMaximumNonDirectionalSpectralWaveDensityByFrequency [3890] bandContainingMaximumNonDirectionalSpectralWaveDensity [18] wavebandCentralFrequency [0.025 0.03 0.035 0.04 0.045 0.05 0.055 0.06 0.065 0.07 0.075 0.08 0.085 0.09 0.095 0.1 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 0.21 0.22 0.23 0.24 0.25 0.26 0.27 0.28 0.29 0.3 0.31 0.32 0.33 0.34 0.35 0.36 0.37 0.38 0.39 0.4 0.41 0.42 0.43 0.44 0.45 0.46 0.47 0.48 0.49 0.5 0.51 0.52 0.53 0.54 0.55 0.56 0.57 0.58 ] spectralWaveDensityRatio [ 0 0 0 0 0 0 0 0 0 0 1 1 6 19 14 27 90 100 97 75 53 40 39 35 31 22 20 24 21 29 25 29 26 24 21 15 17 15 18 14 10 12 12 8 7 4 7 8 5 6 5 6 3 3 2 2 3 2 1 2 2 1 2 2] meanDirectionFromWhichWavesAreComing [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] principalDirectionFromWhichWavesAreComing [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] firstNormalizedPolarCoordinateFromFourierCoefficients [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] secondNormalizedPolarCoordinateFromFourierCoefficients [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] scaledDirectionalSpectralWaveDensityByFrequency [ 2 9 80 110 132 127 159 242 318 304 566 523 2350 7480 5760 10600 3520 3890 3780 2950 2070 15900 15200 13900 12300 8950 8060 9360 8390 11300 9940 11500 10300 9600 8430 5850 6900 5910 7040 5650 4180 4690 4980 3320 2870 1560 2960 3420 1950 2390 2020 2380 1350 1550 1130 1040 1280 893 757 837 871 589 845 967] directionFromWhichWavesAreComing [148 92 80 112 76 112 88 100 68 80 52 68 80 68 80 76 72 68 72 76 72 76 72 72 64 80 72 68 64 68 72 72 76 76 72 68 76 76 76 72 76 76 84 92 96 92 84 84 88 96 88 92 108 84 100 104 104 88 100 92 108 92 100 100] directionalSpreadOfWaves [59 68 61 74 69 68 58 54 57 72 70 58 44 26 30 27 19 18 18 19 20 24 27 25 24 25 27 26 30 22 22 19 23 24 26 33 21 27 24 27 39 30 26 33 37 49 34 30 44 39 39 32 42 36 42 45 43 51 50 45 41 48 42 42] 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blockNumber->percentConfidence->code: '033007' blockNumber->percentConfidence->units: % blockNumber->percentConfidence->scale: 0 blockNumber->percentConfidence->reference: 0 blockNumber->percentConfidence->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationNumber->percentConfidence->code: '033007' stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 stationType->percentConfidence->code: '033007' stationType->percentConfidence->units: % stationType->percentConfidence->scale: 0 stationType->percentConfidence->reference: 0 stationType->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 nonCoordinatePressure->percentConfidence->code: '033007' nonCoordinatePressure->percentConfidence->units: % nonCoordinatePressure->percentConfidence->scale: 0 nonCoordinatePressure->percentConfidence->reference: 0 nonCoordinatePressure->percentConfidence->width: 7 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 pressureReducedToMeanSeaLevel->percentConfidence->code: '033007' pressureReducedToMeanSeaLevel->percentConfidence->units: % pressureReducedToMeanSeaLevel->percentConfidence->scale: 0 pressureReducedToMeanSeaLevel->percentConfidence->reference: 0 pressureReducedToMeanSeaLevel->percentConfidence->width: 7 3HourPressureChange->code: '010061' 3HourPressureChange->units: Pa 3HourPressureChange->scale: -1 3HourPressureChange->reference: -500 3HourPressureChange->width: 10 3HourPressureChange->percentConfidence->code: '033007' 3HourPressureChange->percentConfidence->units: % 3HourPressureChange->percentConfidence->scale: 0 3HourPressureChange->percentConfidence->reference: 0 3HourPressureChange->percentConfidence->width: 7 characteristicOfPressureTendency->code: '010063' characteristicOfPressureTendency->units: CODE TABLE characteristicOfPressureTendency->scale: 0 characteristicOfPressureTendency->reference: 0 characteristicOfPressureTendency->width: 4 characteristicOfPressureTendency->percentConfidence->code: '033007' characteristicOfPressureTendency->percentConfidence->units: % characteristicOfPressureTendency->percentConfidence->scale: 0 characteristicOfPressureTendency->percentConfidence->reference: 0 characteristicOfPressureTendency->percentConfidence->width: 7 windDirectionAt10M->code: '011011' windDirectionAt10M->units: deg windDirectionAt10M->scale: 0 windDirectionAt10M->reference: 0 windDirectionAt10M->width: 9 windDirectionAt10M->percentConfidence->code: '033007' windDirectionAt10M->percentConfidence->units: % windDirectionAt10M->percentConfidence->scale: 0 windDirectionAt10M->percentConfidence->reference: 0 windDirectionAt10M->percentConfidence->width: 7 windSpeedAt10M->code: '011012' windSpeedAt10M->units: m/s windSpeedAt10M->scale: 1 windSpeedAt10M->reference: 0 windSpeedAt10M->width: 12 windSpeedAt10M->percentConfidence->code: '033007' windSpeedAt10M->percentConfidence->units: % windSpeedAt10M->percentConfidence->scale: 0 windSpeedAt10M->percentConfidence->reference: 0 windSpeedAt10M->percentConfidence->width: 7 airTemperatureAt2M->code: '012004' airTemperatureAt2M->units: K airTemperatureAt2M->scale: 1 airTemperatureAt2M->reference: 0 airTemperatureAt2M->width: 12 airTemperatureAt2M->percentConfidence->code: '033007' airTemperatureAt2M->percentConfidence->units: % airTemperatureAt2M->percentConfidence->scale: 0 airTemperatureAt2M->percentConfidence->reference: 0 airTemperatureAt2M->percentConfidence->width: 7 dewpointTemperatureAt2M->code: '012006' dewpointTemperatureAt2M->units: K dewpointTemperatureAt2M->scale: 1 dewpointTemperatureAt2M->reference: 0 dewpointTemperatureAt2M->width: 12 dewpointTemperatureAt2M->percentConfidence->code: '033007' dewpointTemperatureAt2M->percentConfidence->units: % dewpointTemperatureAt2M->percentConfidence->scale: 0 dewpointTemperatureAt2M->percentConfidence->reference: 0 dewpointTemperatureAt2M->percentConfidence->width: 7 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 relativeHumidity->percentConfidence->code: '033007' relativeHumidity->percentConfidence->units: % relativeHumidity->percentConfidence->scale: 0 relativeHumidity->percentConfidence->reference: 0 relativeHumidity->percentConfidence->width: 7 horizontalVisibility->code: '020001' horizontalVisibility->units: m horizontalVisibility->scale: -1 horizontalVisibility->reference: 0 horizontalVisibility->width: 13 horizontalVisibility->percentConfidence->code: '033007' horizontalVisibility->percentConfidence->units: % horizontalVisibility->percentConfidence->scale: 0 horizontalVisibility->percentConfidence->reference: 0 horizontalVisibility->percentConfidence->width: 7 presentWeather->code: '020003' presentWeather->units: CODE TABLE presentWeather->scale: 0 presentWeather->reference: 0 presentWeather->width: 9 presentWeather->percentConfidence->code: '033007' presentWeather->percentConfidence->units: % presentWeather->percentConfidence->scale: 0 presentWeather->percentConfidence->reference: 0 presentWeather->percentConfidence->width: 7 pastWeather1->code: '020004' pastWeather1->units: CODE TABLE pastWeather1->scale: 0 pastWeather1->reference: 0 pastWeather1->width: 5 pastWeather1->percentConfidence->code: '033007' pastWeather1->percentConfidence->units: % pastWeather1->percentConfidence->scale: 0 pastWeather1->percentConfidence->reference: 0 pastWeather1->percentConfidence->width: 7 pastWeather2->code: '020005' pastWeather2->units: CODE TABLE pastWeather2->scale: 0 pastWeather2->reference: 0 pastWeather2->width: 5 pastWeather2->percentConfidence->code: '033007' pastWeather2->percentConfidence->units: % pastWeather2->percentConfidence->scale: 0 pastWeather2->percentConfidence->reference: 0 pastWeather2->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 cloudCoverTotal->percentConfidence->code: '033007' cloudCoverTotal->percentConfidence->units: % cloudCoverTotal->percentConfidence->scale: 0 cloudCoverTotal->percentConfidence->reference: 0 cloudCoverTotal->percentConfidence->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 verticalSignificanceSurfaceObservations->percentConfidence->code: '033007' verticalSignificanceSurfaceObservations->percentConfidence->units: % verticalSignificanceSurfaceObservations->percentConfidence->scale: 0 verticalSignificanceSurfaceObservations->percentConfidence->reference: 0 verticalSignificanceSurfaceObservations->percentConfidence->width: 7 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 cloudAmount->percentConfidence->code: '033007' cloudAmount->percentConfidence->units: % cloudAmount->percentConfidence->scale: 0 cloudAmount->percentConfidence->reference: 0 cloudAmount->percentConfidence->width: 7 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 heightOfBaseOfCloud->percentConfidence->code: '033007' heightOfBaseOfCloud->percentConfidence->units: % heightOfBaseOfCloud->percentConfidence->scale: 0 heightOfBaseOfCloud->percentConfidence->reference: 0 heightOfBaseOfCloud->percentConfidence->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 cloudType->percentConfidence->code: '033007' cloudType->percentConfidence->units: % cloudType->percentConfidence->scale: 0 cloudType->percentConfidence->reference: 0 cloudType->percentConfidence->width: 7 totalPrecipitationPast6Hours->code: '013021' totalPrecipitationPast6Hours->units: kg m-2 totalPrecipitationPast6Hours->scale: 1 totalPrecipitationPast6Hours->reference: -1 totalPrecipitationPast6Hours->width: 14 totalPrecipitationPast6Hours->percentConfidence->code: '033007' totalPrecipitationPast6Hours->percentConfidence->units: % totalPrecipitationPast6Hours->percentConfidence->scale: 0 totalPrecipitationPast6Hours->percentConfidence->reference: 0 totalPrecipitationPast6Hours->percentConfidence->width: 7 totalSnowDepth->code: '013013' totalSnowDepth->units: m totalSnowDepth->scale: 2 totalSnowDepth->reference: -2 totalSnowDepth->width: 16 totalSnowDepth->percentConfidence->code: '033007' totalSnowDepth->percentConfidence->units: % totalSnowDepth->percentConfidence->scale: 0 totalSnowDepth->percentConfidence->reference: 0 totalSnowDepth->percentConfidence->width: 7 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 messageNumber: 2 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 blockNumber->percentConfidence->code: '033007' blockNumber->percentConfidence->units: % blockNumber->percentConfidence->scale: 0 blockNumber->percentConfidence->reference: 0 blockNumber->percentConfidence->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationNumber->percentConfidence->code: '033007' stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 stationType->percentConfidence->code: '033007' stationType->percentConfidence->units: % stationType->percentConfidence->scale: 0 stationType->percentConfidence->reference: 0 stationType->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 nonCoordinatePressure->percentConfidence->code: '033007' nonCoordinatePressure->percentConfidence->units: % nonCoordinatePressure->percentConfidence->scale: 0 nonCoordinatePressure->percentConfidence->reference: 0 nonCoordinatePressure->percentConfidence->width: 7 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 pressureReducedToMeanSeaLevel->percentConfidence->code: '033007' pressureReducedToMeanSeaLevel->percentConfidence->units: % pressureReducedToMeanSeaLevel->percentConfidence->scale: 0 pressureReducedToMeanSeaLevel->percentConfidence->reference: 0 pressureReducedToMeanSeaLevel->percentConfidence->width: 7 3HourPressureChange->code: '010061' 3HourPressureChange->units: Pa 3HourPressureChange->scale: -1 3HourPressureChange->reference: -500 3HourPressureChange->width: 10 3HourPressureChange->percentConfidence->code: '033007' 3HourPressureChange->percentConfidence->units: % 3HourPressureChange->percentConfidence->scale: 0 3HourPressureChange->percentConfidence->reference: 0 3HourPressureChange->percentConfidence->width: 7 characteristicOfPressureTendency->code: '010063' characteristicOfPressureTendency->units: CODE TABLE characteristicOfPressureTendency->scale: 0 characteristicOfPressureTendency->reference: 0 characteristicOfPressureTendency->width: 4 characteristicOfPressureTendency->percentConfidence->code: '033007' characteristicOfPressureTendency->percentConfidence->units: % characteristicOfPressureTendency->percentConfidence->scale: 0 characteristicOfPressureTendency->percentConfidence->reference: 0 characteristicOfPressureTendency->percentConfidence->width: 7 windDirectionAt10M->code: '011011' windDirectionAt10M->units: deg windDirectionAt10M->scale: 0 windDirectionAt10M->reference: 0 windDirectionAt10M->width: 9 windDirectionAt10M->percentConfidence->code: '033007' windDirectionAt10M->percentConfidence->units: % windDirectionAt10M->percentConfidence->scale: 0 windDirectionAt10M->percentConfidence->reference: 0 windDirectionAt10M->percentConfidence->width: 7 windSpeedAt10M->code: '011012' windSpeedAt10M->units: m/s windSpeedAt10M->scale: 1 windSpeedAt10M->reference: 0 windSpeedAt10M->width: 12 windSpeedAt10M->percentConfidence->code: '033007' windSpeedAt10M->percentConfidence->units: % windSpeedAt10M->percentConfidence->scale: 0 windSpeedAt10M->percentConfidence->reference: 0 windSpeedAt10M->percentConfidence->width: 7 airTemperatureAt2M->code: '012004' airTemperatureAt2M->units: K airTemperatureAt2M->scale: 1 airTemperatureAt2M->reference: 0 airTemperatureAt2M->width: 12 airTemperatureAt2M->percentConfidence->code: '033007' airTemperatureAt2M->percentConfidence->units: % airTemperatureAt2M->percentConfidence->scale: 0 airTemperatureAt2M->percentConfidence->reference: 0 airTemperatureAt2M->percentConfidence->width: 7 dewpointTemperatureAt2M->code: '012006' dewpointTemperatureAt2M->units: K dewpointTemperatureAt2M->scale: 1 dewpointTemperatureAt2M->reference: 0 dewpointTemperatureAt2M->width: 12 dewpointTemperatureAt2M->percentConfidence->code: '033007' dewpointTemperatureAt2M->percentConfidence->units: % dewpointTemperatureAt2M->percentConfidence->scale: 0 dewpointTemperatureAt2M->percentConfidence->reference: 0 dewpointTemperatureAt2M->percentConfidence->width: 7 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 relativeHumidity->percentConfidence->code: '033007' relativeHumidity->percentConfidence->units: % relativeHumidity->percentConfidence->scale: 0 relativeHumidity->percentConfidence->reference: 0 relativeHumidity->percentConfidence->width: 7 horizontalVisibility->code: '020001' horizontalVisibility->units: m horizontalVisibility->scale: -1 horizontalVisibility->reference: 0 horizontalVisibility->width: 13 horizontalVisibility->percentConfidence->code: '033007' horizontalVisibility->percentConfidence->units: % horizontalVisibility->percentConfidence->scale: 0 horizontalVisibility->percentConfidence->reference: 0 horizontalVisibility->percentConfidence->width: 7 presentWeather->code: '020003' presentWeather->units: CODE TABLE presentWeather->scale: 0 presentWeather->reference: 0 presentWeather->width: 9 presentWeather->percentConfidence->code: '033007' presentWeather->percentConfidence->units: % presentWeather->percentConfidence->scale: 0 presentWeather->percentConfidence->reference: 0 presentWeather->percentConfidence->width: 7 pastWeather1->code: '020004' pastWeather1->units: CODE TABLE pastWeather1->scale: 0 pastWeather1->reference: 0 pastWeather1->width: 5 pastWeather1->percentConfidence->code: '033007' pastWeather1->percentConfidence->units: % pastWeather1->percentConfidence->scale: 0 pastWeather1->percentConfidence->reference: 0 pastWeather1->percentConfidence->width: 7 pastWeather2->code: '020005' pastWeather2->units: CODE TABLE pastWeather2->scale: 0 pastWeather2->reference: 0 pastWeather2->width: 5 pastWeather2->percentConfidence->code: '033007' pastWeather2->percentConfidence->units: % pastWeather2->percentConfidence->scale: 0 pastWeather2->percentConfidence->reference: 0 pastWeather2->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 cloudCoverTotal->percentConfidence->code: '033007' cloudCoverTotal->percentConfidence->units: % cloudCoverTotal->percentConfidence->scale: 0 cloudCoverTotal->percentConfidence->reference: 0 cloudCoverTotal->percentConfidence->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 verticalSignificanceSurfaceObservations->percentConfidence->code: '033007' verticalSignificanceSurfaceObservations->percentConfidence->units: % verticalSignificanceSurfaceObservations->percentConfidence->scale: 0 verticalSignificanceSurfaceObservations->percentConfidence->reference: 0 verticalSignificanceSurfaceObservations->percentConfidence->width: 7 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 cloudAmount->percentConfidence->code: '033007' cloudAmount->percentConfidence->units: % cloudAmount->percentConfidence->scale: 0 cloudAmount->percentConfidence->reference: 0 cloudAmount->percentConfidence->width: 7 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 heightOfBaseOfCloud->percentConfidence->code: '033007' heightOfBaseOfCloud->percentConfidence->units: % heightOfBaseOfCloud->percentConfidence->scale: 0 heightOfBaseOfCloud->percentConfidence->reference: 0 heightOfBaseOfCloud->percentConfidence->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 cloudType->percentConfidence->code: '033007' cloudType->percentConfidence->units: % cloudType->percentConfidence->scale: 0 cloudType->percentConfidence->reference: 0 cloudType->percentConfidence->width: 7 totalPrecipitationPast6Hours->code: '013021' totalPrecipitationPast6Hours->units: kg m-2 totalPrecipitationPast6Hours->scale: 1 totalPrecipitationPast6Hours->reference: -1 totalPrecipitationPast6Hours->width: 14 totalPrecipitationPast6Hours->percentConfidence->code: '033007' totalPrecipitationPast6Hours->percentConfidence->units: % totalPrecipitationPast6Hours->percentConfidence->scale: 0 totalPrecipitationPast6Hours->percentConfidence->reference: 0 totalPrecipitationPast6Hours->percentConfidence->width: 7 totalSnowDepth->code: '013013' totalSnowDepth->units: m totalSnowDepth->scale: 2 totalSnowDepth->reference: -2 totalSnowDepth->width: 16 totalSnowDepth->percentConfidence->code: '033007' totalSnowDepth->percentConfidence->units: % totalSnowDepth->percentConfidence->scale: 0 totalSnowDepth->percentConfidence->reference: 0 totalSnowDepth->percentConfidence->width: 7 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 messageNumber: 3 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 blockNumber->percentConfidence->code: '033007' blockNumber->percentConfidence->units: % blockNumber->percentConfidence->scale: 0 blockNumber->percentConfidence->reference: 0 blockNumber->percentConfidence->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationNumber->percentConfidence->code: '033007' stationNumber->percentConfidence->units: % stationNumber->percentConfidence->scale: 0 stationNumber->percentConfidence->reference: 0 stationNumber->percentConfidence->width: 7 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 stationType->percentConfidence->code: '033007' stationType->percentConfidence->units: % stationType->percentConfidence->scale: 0 stationType->percentConfidence->reference: 0 stationType->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 heightOfStation->percentConfidence->code: '033007' heightOfStation->percentConfidence->units: % heightOfStation->percentConfidence->scale: 0 heightOfStation->percentConfidence->reference: 0 heightOfStation->percentConfidence->width: 7 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 nonCoordinatePressure->percentConfidence->code: '033007' nonCoordinatePressure->percentConfidence->units: % nonCoordinatePressure->percentConfidence->scale: 0 nonCoordinatePressure->percentConfidence->reference: 0 nonCoordinatePressure->percentConfidence->width: 7 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 pressureReducedToMeanSeaLevel->percentConfidence->code: '033007' pressureReducedToMeanSeaLevel->percentConfidence->units: % pressureReducedToMeanSeaLevel->percentConfidence->scale: 0 pressureReducedToMeanSeaLevel->percentConfidence->reference: 0 pressureReducedToMeanSeaLevel->percentConfidence->width: 7 3HourPressureChange->code: '010061' 3HourPressureChange->units: Pa 3HourPressureChange->scale: -1 3HourPressureChange->reference: -500 3HourPressureChange->width: 10 3HourPressureChange->percentConfidence->code: '033007' 3HourPressureChange->percentConfidence->units: % 3HourPressureChange->percentConfidence->scale: 0 3HourPressureChange->percentConfidence->reference: 0 3HourPressureChange->percentConfidence->width: 7 characteristicOfPressureTendency->code: '010063' characteristicOfPressureTendency->units: CODE TABLE characteristicOfPressureTendency->scale: 0 characteristicOfPressureTendency->reference: 0 characteristicOfPressureTendency->width: 4 characteristicOfPressureTendency->percentConfidence->code: '033007' characteristicOfPressureTendency->percentConfidence->units: % characteristicOfPressureTendency->percentConfidence->scale: 0 characteristicOfPressureTendency->percentConfidence->reference: 0 characteristicOfPressureTendency->percentConfidence->width: 7 windDirectionAt10M->code: '011011' windDirectionAt10M->units: deg windDirectionAt10M->scale: 0 windDirectionAt10M->reference: 0 windDirectionAt10M->width: 9 windDirectionAt10M->percentConfidence->code: '033007' windDirectionAt10M->percentConfidence->units: % windDirectionAt10M->percentConfidence->scale: 0 windDirectionAt10M->percentConfidence->reference: 0 windDirectionAt10M->percentConfidence->width: 7 windSpeedAt10M->code: '011012' windSpeedAt10M->units: m/s windSpeedAt10M->scale: 1 windSpeedAt10M->reference: 0 windSpeedAt10M->width: 12 windSpeedAt10M->percentConfidence->code: '033007' windSpeedAt10M->percentConfidence->units: % windSpeedAt10M->percentConfidence->scale: 0 windSpeedAt10M->percentConfidence->reference: 0 windSpeedAt10M->percentConfidence->width: 7 airTemperatureAt2M->code: '012004' airTemperatureAt2M->units: K airTemperatureAt2M->scale: 1 airTemperatureAt2M->reference: 0 airTemperatureAt2M->width: 12 airTemperatureAt2M->percentConfidence->code: '033007' airTemperatureAt2M->percentConfidence->units: % airTemperatureAt2M->percentConfidence->scale: 0 airTemperatureAt2M->percentConfidence->reference: 0 airTemperatureAt2M->percentConfidence->width: 7 dewpointTemperatureAt2M->code: '012006' dewpointTemperatureAt2M->units: K dewpointTemperatureAt2M->scale: 1 dewpointTemperatureAt2M->reference: 0 dewpointTemperatureAt2M->width: 12 dewpointTemperatureAt2M->percentConfidence->code: '033007' dewpointTemperatureAt2M->percentConfidence->units: % dewpointTemperatureAt2M->percentConfidence->scale: 0 dewpointTemperatureAt2M->percentConfidence->reference: 0 dewpointTemperatureAt2M->percentConfidence->width: 7 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 relativeHumidity->percentConfidence->code: '033007' relativeHumidity->percentConfidence->units: % relativeHumidity->percentConfidence->scale: 0 relativeHumidity->percentConfidence->reference: 0 relativeHumidity->percentConfidence->width: 7 horizontalVisibility->code: '020001' horizontalVisibility->units: m horizontalVisibility->scale: -1 horizontalVisibility->reference: 0 horizontalVisibility->width: 13 horizontalVisibility->percentConfidence->code: '033007' horizontalVisibility->percentConfidence->units: % horizontalVisibility->percentConfidence->scale: 0 horizontalVisibility->percentConfidence->reference: 0 horizontalVisibility->percentConfidence->width: 7 presentWeather->code: '020003' presentWeather->units: CODE TABLE presentWeather->scale: 0 presentWeather->reference: 0 presentWeather->width: 9 presentWeather->percentConfidence->code: '033007' presentWeather->percentConfidence->units: % presentWeather->percentConfidence->scale: 0 presentWeather->percentConfidence->reference: 0 presentWeather->percentConfidence->width: 7 pastWeather1->code: '020004' pastWeather1->units: CODE TABLE pastWeather1->scale: 0 pastWeather1->reference: 0 pastWeather1->width: 5 pastWeather1->percentConfidence->code: '033007' pastWeather1->percentConfidence->units: % pastWeather1->percentConfidence->scale: 0 pastWeather1->percentConfidence->reference: 0 pastWeather1->percentConfidence->width: 7 pastWeather2->code: '020005' pastWeather2->units: CODE TABLE pastWeather2->scale: 0 pastWeather2->reference: 0 pastWeather2->width: 5 pastWeather2->percentConfidence->code: '033007' pastWeather2->percentConfidence->units: % pastWeather2->percentConfidence->scale: 0 pastWeather2->percentConfidence->reference: 0 pastWeather2->percentConfidence->width: 7 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 cloudCoverTotal->percentConfidence->code: '033007' cloudCoverTotal->percentConfidence->units: % cloudCoverTotal->percentConfidence->scale: 0 cloudCoverTotal->percentConfidence->reference: 0 cloudCoverTotal->percentConfidence->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 verticalSignificanceSurfaceObservations->percentConfidence->code: '033007' verticalSignificanceSurfaceObservations->percentConfidence->units: % verticalSignificanceSurfaceObservations->percentConfidence->scale: 0 verticalSignificanceSurfaceObservations->percentConfidence->reference: 0 verticalSignificanceSurfaceObservations->percentConfidence->width: 7 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 cloudAmount->percentConfidence->code: '033007' cloudAmount->percentConfidence->units: % cloudAmount->percentConfidence->scale: 0 cloudAmount->percentConfidence->reference: 0 cloudAmount->percentConfidence->width: 7 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 heightOfBaseOfCloud->percentConfidence->code: '033007' heightOfBaseOfCloud->percentConfidence->units: % heightOfBaseOfCloud->percentConfidence->scale: 0 heightOfBaseOfCloud->percentConfidence->reference: 0 heightOfBaseOfCloud->percentConfidence->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 cloudType->percentConfidence->code: '033007' cloudType->percentConfidence->units: % cloudType->percentConfidence->scale: 0 cloudType->percentConfidence->reference: 0 cloudType->percentConfidence->width: 7 totalPrecipitationPast6Hours->code: '013021' totalPrecipitationPast6Hours->units: kg m-2 totalPrecipitationPast6Hours->scale: 1 totalPrecipitationPast6Hours->reference: -1 totalPrecipitationPast6Hours->width: 14 totalPrecipitationPast6Hours->percentConfidence->code: '033007' totalPrecipitationPast6Hours->percentConfidence->units: % totalPrecipitationPast6Hours->percentConfidence->scale: 0 totalPrecipitationPast6Hours->percentConfidence->reference: 0 totalPrecipitationPast6Hours->percentConfidence->width: 7 totalSnowDepth->code: '013013' totalSnowDepth->units: m totalSnowDepth->scale: 2 totalSnowDepth->reference: -2 totalSnowDepth->width: 16 totalSnowDepth->percentConfidence->code: '033007' totalSnowDepth->percentConfidence->units: % totalSnowDepth->percentConfidence->scale: 0 totalSnowDepth->percentConfidence->reference: 0 totalSnowDepth->percentConfidence->width: 7 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/amsu-a-noaa-19.bufr0000664000175000017500000000300015172126764025070 0ustar alastairalastairBUFRb€7 $4›~)5²H…§€l·U*”q¦µ–ß, 5·j5·jFÀÊ –¤A A!Y<“0?€´€þÐ|äÿ@ED2ÇBT¶5Ï„e:V×Æu¾wÀâ@4 [€a–ËîL"Æ™`ägîEÊaž±¥ò²Á¯nFx‹÷!O)Ì"ztž«M-þÚš0P½Xkª‰3È´× ëÀ-įé<Ó”ØA]D–Ãùz•˜†q•Êš-‘¯¡›ÃYÈ¡Nùá'Ô©ùR RÚ³¡¹ê%["Ìé"žX²Û…-ðX’%µ"Œd¨7gèó¤„"†‘ÍDL9C¥ÅZx˜_¡¦ŒÇus â Gä‚!r‹šItI¦¢¨ÞX­ÜÂè1,ŒP‘f€ÚíÐBKpµxËa—ò§v°½¤p¨^€½ ÔŽí;b;T⿖ÓƒiKå©œ¯¤©2vÍ:´@y®¶ @€€ÍÒ…ý^"'ägóÓ±\Ê7PšäÚ&¶óq²åÚíº·Ò&’1ÃLkñbpüþÿÿàøþÿÿàøþÿÿàøþÿÿàB7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-insat-3d.attributes0000664000175000017500000002427015172126764026211 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 satelliteClassification->code: '002196' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002221' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002222' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 satelliteInstrumentDataUsedInProcessing->code: '002252' satelliteInstrumentDataUsedInProcessing->units: FLAG TABLE satelliteInstrumentDataUsedInProcessing->scale: 0 satelliteInstrumentDataUsedInProcessing->reference: 0 satelliteInstrumentDataUsedInProcessing->width: 31 satelliteDerivedWindComputationMethod->code: '002023' satelliteDerivedWindComputationMethod->units: CODE TABLE satelliteDerivedWindComputationMethod->scale: 0 satelliteDerivedWindComputationMethod->reference: 0 satelliteDerivedWindComputationMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 pressure->percentConfidence->percentConfidence->code: '033007' pressure->percentConfidence->percentConfidence->units: % pressure->percentConfidence->percentConfidence->scale: 0 pressure->percentConfidence->percentConfidence->reference: 0 pressure->percentConfidence->percentConfidence->width: 7 pressure->nominalConfidenceThreshold->code: '033253' pressure->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->width: 7 pressure->manualAutomaticQualityControl->code: '033252' pressure->manualAutomaticQualityControl->units: CODE TABLE pressure->manualAutomaticQualityControl->scale: 0 pressure->manualAutomaticQualityControl->reference: 0 pressure->manualAutomaticQualityControl->width: 4 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windDirection->percentConfidence->percentConfidence->code: '033007' windDirection->percentConfidence->percentConfidence->units: % windDirection->percentConfidence->percentConfidence->scale: 0 windDirection->percentConfidence->percentConfidence->reference: 0 windDirection->percentConfidence->percentConfidence->width: 7 windDirection->nominalConfidenceThreshold->code: '033253' windDirection->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->width: 7 windDirection->manualAutomaticQualityControl->code: '033252' windDirection->manualAutomaticQualityControl->units: CODE TABLE windDirection->manualAutomaticQualityControl->scale: 0 windDirection->manualAutomaticQualityControl->reference: 0 windDirection->manualAutomaticQualityControl->width: 4 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windSpeed->percentConfidence->percentConfidence->code: '033007' windSpeed->percentConfidence->percentConfidence->units: % windSpeed->percentConfidence->percentConfidence->scale: 0 windSpeed->percentConfidence->percentConfidence->reference: 0 windSpeed->percentConfidence->percentConfidence->width: 7 windSpeed->nominalConfidenceThreshold->code: '033253' windSpeed->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->width: 7 windSpeed->manualAutomaticQualityControl->code: '033252' windSpeed->manualAutomaticQualityControl->units: CODE TABLE windSpeed->manualAutomaticQualityControl->scale: 0 windSpeed->manualAutomaticQualityControl->reference: 0 windSpeed->manualAutomaticQualityControl->width: 4 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 satelliteChannelCentreFrequency->code: '002197' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002198' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 coldestClusterTemperature->code: '012193' coldestClusterTemperature->units: K coldestClusterTemperature->scale: 1 coldestClusterTemperature->reference: 0 coldestClusterTemperature->width: 12 heightAssignmentMethod->code: '002231' heightAssignmentMethod->units: CODE TABLE heightAssignmentMethod->scale: 0 heightAssignmentMethod->reference: 0 heightAssignmentMethod->width: 4 tracerCorrelationMethod->code: '002232' tracerCorrelationMethod->units: CODE TABLE tracerCorrelationMethod->scale: 0 tracerCorrelationMethod->reference: 0 tracerCorrelationMethod->width: 3 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 originOfFirstGuessInformationForGoesIOrMSoundings->code: '002057' originOfFirstGuessInformationForGoesIOrMSoundings->units: CODE TABLE originOfFirstGuessInformationForGoesIOrMSoundings->scale: 0 originOfFirstGuessInformationForGoesIOrMSoundings->reference: 0 originOfFirstGuessInformationForGoesIOrMSoundings->width: 4 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timePeriod->code: '004024' timePeriod->units: h timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/hdob.items0000664000175000017500000002205415172126764023653 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 4 dataSubCategory 146 masterTablesVersionNumber 18 localTablesVersionNumber 0 typicalYearOfCentury 22 typicalMonth 5 typicalDay 29 typicalHour 16 typicalMinute 0 typicalDate 20220529 typicalTime 160000 rdbType 7 oldSubtype 146 localYear 2022 localMonth 5 localDay 29 localHour 16 localMinute 0 localSecond 30 rdbtimeDay 29 rdbtimeHour 16 rdbtimeMinute 26 rdbtimeSecond 43 rdbtimeTime 162643 rectimeDay 29 rectimeHour 16 rectimeMinute 26 rectimeSecond 43 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 20 localLongitude1 -88.93333 localLatitude1 30.4 localLongitude2 -88.88333 localLatitude2 30.5 localNumberOfObservations 20 satelliteID 0 observedData 1 compressedData 1 unexpandedDescriptors [311010 204002 12103] aircraftRegistrationNumberOrOtherIdentification ['HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306' 'HDAF306'] observationSequenceNumber [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftFlightNumber [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftTailNumber [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] originationAirport [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] destinationAirport [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] year [[2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022 2022]] year->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] year->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] month [[5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5]] month->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] month->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] day [[29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29]] day->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] day->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] hour [[16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16]] hour->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] hour->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] minute [[ 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10]] minute->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] minute->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] second [[30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0]] second->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] second->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] latitude [[30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.4 30.41667 30.43333 30.45 30.46667 30.48333 30.5 30.48333]] latitude->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] latitude->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] longitude [[-88.91667 -88.91667 -88.91667 -88.91667 -88.91667 -88.93333 -88.93333 -88.93333 -88.93333 -88.93333 -88.93333 -88.93333 -88.93333 -88.93333 -88.91667 -88.9 -88.88333 -88.88333 -88.9 -88.93333]] longitude->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] longitude->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] flightLevel [ 8 8 5 5 5 5 5 5 6 7 8 10 8 7 189 373 679 916 1248 1501] flightLevel->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] flightLevel->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] globalNavigationSatelliteSystemAltitude [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] globalNavigationSatelliteSystemAltitude->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] globalNavigationSatelliteSystemAltitude->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] detailedPhaseOfFlight [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] detailedPhaseOfFlight->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] detailedPhaseOfFlight->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] windDirection [[ 0 0 0 0 0 0 0 0 0 0 0 0 0 127 113 115 130 127 193 224]] windDirection->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] windDirection->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] windSpeed [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 3.6 4.6 3.6 3.6 4.1 4.1 5.7]] windSpeed->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] windSpeed->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftRollAngleQuality [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftRollAngleQuality->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftRollAngleQuality->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftTrueAirspeed [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftTrueAirspeed->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftTrueAirspeed->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftGroundSpeedUComponent [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftGroundSpeedUComponent->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftGroundSpeedUComponent->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftGroundSpeedVComponent [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftGroundSpeedVComponent->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftGroundSpeedVComponent->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftGroundSpeedWComponent [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftGroundSpeedWComponent->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftGroundSpeedWComponent->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftTrueHeading [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftTrueHeading->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftTrueHeading->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] airTemperature [[309.05 308.95 308.65 308.65 308.15 304.95 301.15 301.55 301.65 302.15 301.55 302.95 301.75 299.75 297.15 295.65 292.85 290.25 288.15 286.55]] airTemperature->associatedField [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] airTemperature->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] aircraftHumiditySensors [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] aircraftHumiditySensors->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] aircraftHumiditySensors->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] mixingRatio [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] mixingRatio->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] mixingRatio->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] relativeHumidity [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] relativeHumidity->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] relativeHumidity->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] moistureQuality [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] moistureQuality->associatedField [3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3. 3.] moistureQuality->associatedField->associatedFieldSignificance [8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8] delayedDescriptorReplicationFactor [0 0] dewpointTemperature [[292.25 292.45 292.25 292.35 292.45 292.45 292.25 290.75 290.05 289.15 289.45 287.75 287.75 291.95 290.45 289.05 287.15 285.85 283.55 280.75]] dewpointTemperature->associatedField [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] dewpointTemperature->associatedField->associatedFieldSignificance [[8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/aura-omi-ak.attributes0000664000175000017500000001604515172126764026112 0ustar alastairalastairmessageNumber: 1 originatorOfRetrievedAtmosphericConstituent->code: '001211' originatorOfRetrievedAtmosphericConstituent->units: CODE TABLE originatorOfRetrievedAtmosphericConstituent->scale: 0 originatorOfRetrievedAtmosphericConstituent->reference: 0 originatorOfRetrievedAtmosphericConstituent->width: 8 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteInstruments->code: '002019' satelliteInstruments->units: CODE TABLE satelliteInstruments->scale: 0 satelliteInstruments->reference: 0 satelliteInstruments->width: 11 centre->code: '001033' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 8 productTypeForRetrievedAtmosphericGases->code: '002172' productTypeForRetrievedAtmosphericGases->units: CODE TABLE productTypeForRetrievedAtmosphericGases->scale: 0 productTypeForRetrievedAtmosphericGases->reference: 0 productTypeForRetrievedAtmosphericGases->width: 8 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 nonCoordinateLatitude->code: '027001' nonCoordinateLatitude->units: deg nonCoordinateLatitude->scale: 5 nonCoordinateLatitude->reference: -9000000 nonCoordinateLatitude->width: 25 nonCoordinateLongitude->code: '028001' nonCoordinateLongitude->units: deg nonCoordinateLongitude->scale: 5 nonCoordinateLongitude->reference: -18000000 nonCoordinateLongitude->width: 26 solarElevation->code: '007022' solarElevation->units: deg solarElevation->scale: 2 solarElevation->reference: -9000 solarElevation->width: 15 orbitNumber->code: '005040' orbitNumber->units: Numeric orbitNumber->scale: 0 orbitNumber->reference: 0 orbitNumber->width: 24 fieldOfViewNumber->code: '005043' fieldOfViewNumber->units: Numeric fieldOfViewNumber->scale: 0 fieldOfViewNumber->reference: 0 fieldOfViewNumber->width: 8 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 pressureAtTopOfCloud->code: '020016' pressureAtTopOfCloud->units: Pa pressureAtTopOfCloud->scale: -1 pressureAtTopOfCloud->reference: 0 pressureAtTopOfCloud->width: 14 surfaceFlag->code: '013040' surfaceFlag->units: CODE TABLE surfaceFlag->scale: 0 surfaceFlag->reference: 0 surfaceFlag->width: 4 atmosphericChemical->code: '008043' atmosphericChemical->units: CODE TABLE atmosphericChemical->scale: 0 atmosphericChemical->reference: 0 atmosphericChemical->width: 8 casRegistryNumber->code: '008044' casRegistryNumber->units: CCITT IA5 casRegistryNumber->scale: 0 casRegistryNumber->reference: 0 casRegistryNumber->width: 88 overallQualityOfRetrievedAtmosphericProfile->code: '033054' overallQualityOfRetrievedAtmosphericProfile->units: CODE TABLE overallQualityOfRetrievedAtmosphericProfile->scale: 0 overallQualityOfRetrievedAtmosphericProfile->reference: 0 overallQualityOfRetrievedAtmosphericProfile->width: 3 numberOfRetrievedLayers->code: '010040' numberOfRetrievedLayers->units: Numeric numberOfRetrievedLayers->scale: 0 numberOfRetrievedLayers->reference: 0 numberOfRetrievedLayers->width: 10 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 decimalScaleOfFollowingSignificands->code: '008090' decimalScaleOfFollowingSignificands->units: Numeric decimalScaleOfFollowingSignificands->scale: 0 decimalScaleOfFollowingSignificands->reference: -127 decimalScaleOfFollowingSignificands->width: 8 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->firstOrderStatisticalValue->code: '224255' decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->firstOrderStatisticalValue->units: Numeric decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->firstOrderStatisticalValue->scale: 0 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->firstOrderStatisticalValue->reference: 0 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->firstOrderStatisticalValue->width: 0 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->code: '224255' decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->units: Numeric decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->scale: 0 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->reference: 0 decimalScaleOfFollowingSignificands->firstOrderStatisticalValue->width: 0 integratedMassDensity->code: '015021' integratedMassDensity->units: kg m-2 integratedMassDensity->scale: 0 integratedMassDensity->reference: 0 integratedMassDensity->width: 24 integratedMassDensity->firstOrderStatisticalValue->firstOrderStatisticalValue->code: '224255' integratedMassDensity->firstOrderStatisticalValue->firstOrderStatisticalValue->units: kg m-2 integratedMassDensity->firstOrderStatisticalValue->firstOrderStatisticalValue->scale: 0 integratedMassDensity->firstOrderStatisticalValue->firstOrderStatisticalValue->reference: 0 integratedMassDensity->firstOrderStatisticalValue->firstOrderStatisticalValue->width: 0 integratedMassDensity->firstOrderStatisticalValue->code: '224255' integratedMassDensity->firstOrderStatisticalValue->units: kg m-2 integratedMassDensity->firstOrderStatisticalValue->scale: 0 integratedMassDensity->firstOrderStatisticalValue->reference: 0 integratedMassDensity->firstOrderStatisticalValue->width: 0 numberOfAveragingKernelLayers->code: '015043' numberOfAveragingKernelLayers->units: Numeric numberOfAveragingKernelLayers->scale: 0 numberOfAveragingKernelLayers->reference: 0 numberOfAveragingKernelLayers->width: 10 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 averagingKernelValue->code: '015044' averagingKernelValue->units: Numeric averagingKernelValue->scale: 6 averagingKernelValue->reference: -5000000 averagingKernelValue->width: 31 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/sample-data/terra-modis-aerosol.attributes0000664000175000017500000001172215172126764027674 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteInstruments->code: '002019' satelliteInstruments->units: CODE TABLE satelliteInstruments->scale: 0 satelliteInstruments->reference: 0 satelliteInstruments->width: 11 centre->code: '001033' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 8 productTypeForRetrievedAtmosphericGases->code: '002172' productTypeForRetrievedAtmosphericGases->units: CODE TABLE productTypeForRetrievedAtmosphericGases->scale: 0 productTypeForRetrievedAtmosphericGases->reference: 0 productTypeForRetrievedAtmosphericGases->width: 8 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 solarZenithAngle->code: '007025' solarZenithAngle->units: deg solarZenithAngle->scale: 2 solarZenithAngle->reference: -9000 solarZenithAngle->width: 15 viewingAzimuthAngle->code: '027080' viewingAzimuthAngle->units: deg viewingAzimuthAngle->scale: 2 viewingAzimuthAngle->reference: 0 viewingAzimuthAngle->width: 16 solarAzimuth->code: '027193' solarAzimuth->units: deg solarAzimuth->scale: 2 solarAzimuth->reference: 0 solarAzimuth->width: 16 snowOrIceCrystalsIndicator->code: '020079' snowOrIceCrystalsIndicator->units: FLAG TABLE snowOrIceCrystalsIndicator->scale: 0 snowOrIceCrystalsIndicator->reference: 0 snowOrIceCrystalsIndicator->width: 2 surfaceFlag->code: '013040' surfaceFlag->units: CODE TABLE surfaceFlag->scale: 0 surfaceFlag->reference: 0 surfaceFlag->width: 4 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 spectrographicWavelength->code: '002071' spectrographicWavelength->units: m spectrographicWavelength->scale: 13 spectrographicWavelength->reference: 0 spectrographicWavelength->width: 30 instrumentSerialNumberForWaterTemperatureProfile->code: '002171' instrumentSerialNumberForWaterTemperatureProfile->units: CODE TABLE instrumentSerialNumberForWaterTemperatureProfile->scale: 0 instrumentSerialNumberForWaterTemperatureProfile->reference: 0 instrumentSerialNumberForWaterTemperatureProfile->width: 4 atmosphericChemical->code: '008043' atmosphericChemical->units: CODE TABLE atmosphericChemical->scale: 0 atmosphericChemical->reference: 0 atmosphericChemical->width: 8 opticalDepth->code: '015024' opticalDepth->units: Numeric opticalDepth->scale: 4 opticalDepth->reference: 0 opticalDepth->width: 24 opticalDepth->firstOrderStatisticalValue->code: '224255' opticalDepth->firstOrderStatisticalValue->units: Numeric opticalDepth->firstOrderStatisticalValue->scale: 0 opticalDepth->firstOrderStatisticalValue->reference: 0 opticalDepth->firstOrderStatisticalValue->width: 0 particulateMatterCharacterization->code: '008045' particulateMatterCharacterization->units: CODE TABLE particulateMatterCharacterization->scale: 0 particulateMatterCharacterization->reference: 0 particulateMatterCharacterization->width: 8 totalNumberOfWaveBands->code: '022094' totalNumberOfWaveBands->units: Numeric totalNumberOfWaveBands->scale: 0 totalNumberOfWaveBands->reference: 0 totalNumberOfWaveBands->width: 7 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 reflectance->code: '015042' reflectance->units: Numeric reflectance->scale: 6 reflectance->reference: 0 reflectance->width: 20 reflectance->firstOrderStatisticalValue->code: '224255' reflectance->firstOrderStatisticalValue->units: Numeric reflectance->firstOrderStatisticalValue->scale: 0 reflectance->firstOrderStatisticalValue->reference: 0 reflectance->firstOrderStatisticalValue->width: 0 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/sample-data/rwp_jma.items0000664000175000017500000002746615172126764024412 0ustar alastairalastairmessageNumber 1 edition 4 masterTableNumber 0 bufrHeaderCentre 34 bufrHeaderSubCentre 0 updateSequenceNumber 0 dataCategory 2 internationalDataSubCategory 10 dataSubCategory 0 masterTablesVersionNumber 12 localTablesVersionNumber 1 typicalYear 2022 typicalMonth 5 typicalDay 9 typicalHour 13 typicalMinute 15 typicalSecond 2 typicalDate 20220509 typicalTime 131502 numberOfSubsets 4 observedData 1 compressedData 0 unexpandedDescriptors [ 1001 1002 5002 6002 7001 2003 116000 31001 4001 4002 4003 4004 4005 8021 4025 107000 31001 7006 206008 25192 11003 11004 11006 21030] subsetNumber 1 blockNumber 47 stationNumber 755 latitude 34.9 longitude 132.07 heightOfStation 20 measuringEquipmentType 6 delayedDescriptorReplicationFactor [ 4 5 4 5 11] year [2022 2022 2022 2022] month [5 5 5 5] day [9 9 9 9] hour [12 12 12 13] minute [10 20 50 0] timeSignificance [2 2 2 2] timePeriod [-10 -10 -10 -10] heightAboveStation [ 291 582 873 1164 1455 291 582 873 1164 291 582 873 1164 1455 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202] u [-- -- -- -6.4 -0.5 -- -- -- -8.5 -- -- -- -- -3.4000000000000004 -- -- -- -5.1000000000000005 -- -- -- -- -- -- 0.7000000000000001] v [-- -- -- 0.5 -0.30000000000000004 -- -- -- 0.9 -- -- -- -- -1.9000000000000001 -- -- -- -1.5 -- -- -- -- -- -- -0.8] w [-- -- -- 0.53 0.28 -- -- -- 0.7000000000000001 -- -- -- -- 0.49 -- -- -- 0.32 -- -- -- -- -- -- -0.59] signalToNoiseRatio [-- -- -- 36 30 -- -- -- 34 -- -- -- -- 30 -- -- -- 35 -- -- -- -- -- -- 21] subsetNumber 2 blockNumber 47 stationNumber 891 latitude 34.32 longitude 134.05 heightOfStation 9 measuringEquipmentType 6 delayedDescriptorReplicationFactor [ 6 16 16 16 16 16 16] year [2022 2022 2022 2022 2022 2022] month [5 5 5 5 5 5] day [9 9 9 9 9 9] hour [12 12 12 12 12 13] minute [10 20 30 40 50 0] timeSignificance [2 2 2 2 2 2] timePeriod [-10 -10 -10 -10 -10 -10] heightAboveStation [ 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657] u [-- -5.4 -9.0 -7.7 -- -- -- -- -- -- 13.9 18.1 17.8 17.1 17.900000000000002 19.700000000000003 -- -5.4 -8.8 -7.5 -1.6 -- -- -- -- -- 14.0 17.6 17.3 17.2 18.0 20.200000000000003 -4.6000000000000005 -4.800000000000001 -7.7 -9.1 -- -- -- -- -- 7.9 12.3 17.1 16.900000000000002 17.7 18.0 20.3 -- -4.9 -8.1 -9.600000000000001 -- -- -- -- -- 9.200000000000001 12.3 16.5 17.400000000000002 17.3 18.8 20.900000000000002 -- -- -8.1 -8.9 -- -- 3.2 -- -- -- 12.5 16.5 17.0 16.6 17.5 19.8 -- -5.0 -8.700000000000001 -8.6 -3.0 -0.5 -0.4 5.800000000000001 3.6 10.700000000000001 12.600000000000001 15.700000000000001 16.3 15.3 17.2 24.6] v [-- -3.0 -5.1000000000000005 -3.7 -- -- -- -- -- -- -0.1 2.7 4.9 5.0 3.1 3.0 -- -3.2 -5.5 -4.2 -1.5 -- -- -- -- -- 0.8 2.9000000000000004 5.9 5.1000000000000005 2.9000000000000004 3.0 -1.3 -2.2 -5.300000000000001 -4.7 -- -- -- -- -- -2.0 0.4 3.3000000000000003 5.2 3.9000000000000004 2.2 2.6 -- -3.5 -5.4 -4.7 -- -- -- -- -- 1.7000000000000002 0.0 4.6000000000000005 5.2 3.9000000000000004 2.6 2.3000000000000003 -- -- -5.5 -5.300000000000001 -- -- -3.1 -- -- -- -0.6000000000000001 4.0 5.2 4.1000000000000005 1.8 0.30000000000000004 -- -1.6 -5.800000000000001 -4.5 -2.4000000000000004 -1.6 -0.30000000000000004 0.7000000000000001 0.30000000000000004 0.30000000000000004 0.9 3.8000000000000003 4.5 2.0 1.5 0.8] w [-- -0.08 -0.02 0.4 -- -- -- -- -- -- 0.0 -0.02 -0.11 -0.11 0.03 0.13 -- 0.19 0.35000000000000003 0.56 1.07 -- -- -- -- -- 0.18 -0.15 -0.14 0.1 0.26 0.11 -0.05 0.01 -0.09 -0.15 -- -- -- -- -- -0.35000000000000003 -0.2 -0.05 -0.08 0.01 0.0 0.05 -- -0.49 0.46 0.12 -- -- -- -- -- 0.31 0.04 -0.35000000000000003 -0.3 0.03 -0.02 0.04 -- -- 0.21 0.3 -- -- 0.9400000000000001 -- -- -- -0.22 -0.46 -0.29 0.17 0.14 0.04 -- -0.34 0.26 -0.1 0.09 0.0 0.25 -0.1 -0.91 0.46 -0.61 -0.35000000000000003 -0.5700000000000001 -0.08 0.65 -0.2] signalToNoiseRatio [-- 32 33 26 -- -- -- -- -- -- 31 32 29 34 35 26 -- 34 34 27 35 -- -- -- -- -- 28 32 31 35 35 22 26 37 35 26 -- -- -- -- -- 25 30 30 29 35 33 23 -- 37 33 24 -- -- -- -- -- 23 34 32 32 36 31 21 -- -- 33 24 -- -- 40 -- -- -- 37 41 40 35 31 17 -- 39 35 24 24 25 46 33 33 25 37 43 40 37 32 15] subsetNumber 3 blockNumber 47 stationNumber 893 latitude 33.57 longitude 133.55 heightOfStation 3 measuringEquipmentType 6 delayedDescriptorReplicationFactor [ 6 16 21 20 19 18 16] year [2022 2022 2022 2022 2022 2022] month [5 5 5 5 5 5] day [9 9 9 9 9 9] hour [12 12 12 12 12 13] minute [10 20 30 40 50 0] timeSignificance [2 2 2 2 2 2] timePeriod [-10 -10 -10 -10 -10 -10] heightAboveStation [ 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 5822 6113 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 5822 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657] u [0.2 -0.9 -1.8 -1.1 -0.8 -- -- -- -- 11.3 13.4 -- 13.9 15.100000000000001 16.3 17.1 -- -- -- -- 0.8 3.2 -- -- -- 10.3 14.4 -- 14.700000000000001 15.100000000000001 17.3 -- -- -- -- 20.5 24.6 -- -- -2.6 -- -- -- -- -- -- 9.9 11.600000000000001 -- 14.600000000000001 15.3 15.9 16.7 -- -- -- 19.700000000000003 -- -- -- -- -- -- -- -- -- 11.0 12.9 13.3 13.9 14.8 16.400000000000002 -- 16.0 -- 20.1 -- -- -- -- -- -- -- -- -- 11.0 -- -- 14.100000000000001 15.600000000000001 16.5 16.0 15.700000000000001 18.5 -- -- -- -2.0 -- -- -- 4.3 6.6000000000000005 -- -- -- 15.200000000000001 15.600000000000001 16.400000000000002 16.2] v [-2.3000000000000003 -3.6 -2.7 -3.6 -0.5 -- -- -- -- -2.2 2.0 -- 8.4 7.5 3.2 3.0 -- -- -- -- -0.30000000000000004 -2.9000000000000004 -- -- -- -1.1 1.1 -- 7.9 6.4 2.8000000000000003 -- -- -- -- -4.0 -5.2 -- -- -3.0 -- -- -- -- -- -- -0.2 -0.6000000000000001 -- 7.4 6.6000000000000005 2.2 2.9000000000000004 -- -- -- -2.9000000000000004 -- -- -- -- -- -- -- -- -- 0.0 0.6000000000000001 1.7000000000000002 7.0 6.0 1.8 -- -0.7000000000000001 -- -1.9000000000000001 -- -- -- -- -- -- -- -- -- 0.0 -- -- 6.4 5.7 1.8 -0.4 -1.6 -1.0 -- -- -- -2.2 -- -- -- 0.6000000000000001 0.1 -- -- -- 6.300000000000001 5.6000000000000005 3.9000000000000004 1.7000000000000002] w [-0.06 0.04 -0.05 -0.4 0.24 -- -- -- -- -0.67 -0.22 -- -0.41000000000000003 -0.26 -0.14 -0.06 -- -- -- -- -0.68 -0.61 -- -- -- -0.21 -0.7000000000000001 -- -0.21 -0.11 0.02 -- -- -- -- -0.27 -0.2 -- -- -0.23 -- -- -- -- -- -- -0.02 0.11 -- 0.17 -0.04 -0.08 0.08 -- -- -- -0.14 -- -- -- -- -- -- -- -- -- -0.31 -0.38 -0.19 -0.21 -0.31 -0.16 -- -0.53 -- 0.36 -- -- -- -- -- -- -- -- -- -0.21 -- -- 0.19 -0.15 -0.24 -0.35000000000000003 0.22 -0.18 -- -- -- -0.06 -- -- -- 0.34 0.0 -- -- -- -0.04 -0.24 -0.31 -0.5700000000000001] signalToNoiseRatio [28 33 32 30 32 -- -- -- -- 25 30 -- 20 32 17 20 -- -- -- -- 27 30 -- -- -- 29 32 -- 23 31 19 -- -- -- -- 30 20 -- -- 25 -- -- -- -- -- -- 31 32 -- 23 33 19 21 -- -- -- 33 -- -- -- -- -- -- -- -- -- 32 30 20 25 30 21 -- 29 -- 37 -- -- -- -- -- -- -- -- -- 30 -- -- 25 30 19 22 28 27 -- -- -- 23 -- -- -- 26 29 -- -- -- 25 33 29 28] subsetNumber 4 blockNumber 47 stationNumber 898 latitude 32.72 longitude 133.01 heightOfStation 31 measuringEquipmentType 6 delayedDescriptorReplicationFactor [ 6 20 20 20 20 20 22] year [2022 2022 2022 2022 2022 2022] month [5 5 5 5 5 5] day [9 9 9 9 9 9] hour [12 12 12 12 12 13] minute [10 20 30 40 50 0] timeSignificance [2 2 2 2 2 2] timePeriod [-10 -10 -10 -10 -10 -10] heightAboveStation [ 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 5822 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 5822 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 5531 5822 291 582 873 1164 1455 1747 2038 2329 2620 2911 3202 3493 3784 4075 4366 4657 4949 5240 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6.300000000000001 8.3 -- -- -- -- 18.6 -6.7 -5.300000000000001 -3.7 -2.2 -1.0 1.2000000000000002 4.0 4.3 6.1000000000000005 7.2 6.5 5.800000000000001 4.7 7.5 -- -- -- -- -- 19.0 19.5 19.3] v [-- -3.2 -3.2 -2.5 -3.8000000000000003 -4.0 0.4 3.2 4.7 1.8 2.2 5.0 7.2 7.0 4.4 -- -- -- -- -4.2 -- -3.0 -3.2 -0.9 0.2 -0.8 -0.7000000000000001 2.4000000000000004 3.3000000000000003 0.8 2.1 5.0 7.1000000000000005 5.6000000000000005 3.3000000000000003 2.2 -- -- -3.7 -5.300000000000001 -- -- -1.6 -0.1 -0.7000000000000001 -1.3 -2.0 1.8 2.2 1.4000000000000001 2.9000000000000004 4.9 6.7 5.300000000000001 4.1000000000000005 -- -- -- -3.7 -4.6000000000000005 -2.8000000000000003 -4.2 -1.8 0.5 0.0 -1.6 -2.3000000000000003 2.5 2.6 1.5 3.4000000000000004 6.300000000000001 6.5 5.4 -- -- -- -- -- -3.9000000000000004 -2.2 -3.2 -2.3000000000000003 0.0 0.2 -2.3000000000000003 -1.9000000000000001 3.0 4.1000000000000005 3.2 5.7 4.800000000000001 7.2 5.1000000000000005 5.4 -- -- -- -- -4.4 -2.1 -3.4000000000000004 -3.3000000000000003 -1.2000000000000002 -0.9 -2.1 -1.7000000000000002 4.6000000000000005 5.800000000000001 6.1000000000000005 6.2 4.800000000000001 3.5 3.2 -- -- -- -- -- -5.0 -7.1000000000000005 -6.300000000000001] w [-- -0.44 -0.03 0.4 -0.88 -1.09 -0.85 -0.68 -0.8200000000000001 -1.23 -0.98 -0.89 -0.54 -0.37 -0.35000000000000003 -- -- -- -- -0.04 -- -0.29 -0.58 -1.03 -1.52 -1.6500000000000001 -1.74 -1.6600000000000001 -1.3900000000000001 -1.44 -0.88 -0.76 -0.22 -0.03 0.0 0.08 -- -- 0.2 0.08 -- -- -1.86 -1.67 -1.6300000000000001 -1.68 -1.55 -1.34 -1.1300000000000001 -0.9500000000000001 -0.81 -0.59 -0.6900000000000001 -0.62 -0.38 -- -- -- 0.31 0.35000000000000003 -2.09 -1.9100000000000001 -1.6 -1.71 -1.71 -1.93 -1.9100000000000001 -1.69 -1.6500000000000001 -1.27 -1.0 -0.8200000000000001 -0.53 -0.5700000000000001 -- -- -- -- -- 0.14 -2.4 -2.37 -3.15 -2.91 -3.11 -3.59 -3.36 -3.0700000000000003 -3.19 -3.0100000000000002 -2.52 -1.87 -1.47 -0.39 -0.05 -- -- -- -- 0.06 -3.66 -3.45 -3.22 -2.59 -2.12 -1.6 -1.17 -1.5 -0.68 -0.38 -0.37 -0.43 -0.16 -0.07 -- -- -- -- -- -0.04 0.11 0.13] signalToNoiseRatio [-- 33 29 30 31 30 33 33 33 36 37 38 35 39 41 -- -- -- -- 17 -- 35 28 35 34 38 43 41 40 41 38 35 34 36 38 22 -- -- 19 18 -- -- 33 37 40 42 44 42 42 41 40 35 34 36 38 -- -- -- 22 17 32 42 40 43 48 49 48 47 48 45 43 40 38 39 -- -- -- -- -- 20 44 57 61 63 64 64 64 63 62 61 59 56 51 48 44 -- -- -- -- 19 56 64 63 62 58 53 46 42 40 35 34 32 34 35 -- -- -- -- -- 16 15 16] ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-insat-3d.items0000664000175000017500000015501315172126764025144 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 87 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 15 typicalMonth 12 typicalDay 31 typicalHour 23 typicalMinute 0 typicalDate 20151231 typicalTime 230000 numberOfSubsets 128 observedData 1 compressedData 1 unexpandedDescriptors [310195 222000 236000 101103 31031 1031 1032 101004 33007 222000 237000 1031 1032 101004 33252 222000 237000 1031 1032 101004 33253 222000 237000 1031 1032 101004 33007 222000 237000 1031 1032 101004 33252 222000 237000 1031 1032 101004 33253] satelliteIdentifier [471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471 471] centre [[28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteClassification [301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301] segmentSizeAtNadirInXDirection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] segmentSizeAtNadirInYDirection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] year [[2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] month [[12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] day [[31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] hour [[23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22] [23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] minute [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30] [30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] second [[0 0 0 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] latitude [ 29.77 29.14 17.20999 -1.34 -2.79 -3.51 -9.26 -27.04 -47.97 32.25 27.87 24.63 17.20999 16.52 6.61 -2.06 -8.54 -9.26 32.25 31.02 27.87 25.29 17.9 15.12 10.18999 6.61 3.72 0.83 0.11 -2.79 -6.39 -7.11 -18.37999 -20.43 -44.99 -45.5 -48.92 37. 31.63 31.02 24.63 18.58 17.9 10.18999 -7.11 -9.97 -29.58 -44.99 38.14 37. 31.63 31.02 27.23 26.59 8.76 2.28 -7.83 -9.26 -28.95 -29.58 -31.45 -33.28 -33.88 -34.48 -44.99 41.47 38.71 34.06 29.77 29.14 27.23 3.72 1.56 -28.95 -32.06 -33.28 -33.88 40.91999 28.51 24.63 -9.26 -33.28 -34.48 -47.97 40.91999 40.38 36.41999 33.46 30.4 24.63 -6.39 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28.62 28.62 28.62] satelliteInstrumentDataUsedInProcessing [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteDerivedWindComputationMethod [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] pressure [[69600.0 97500.0 75000.0 ... 29210.0 25650.0 24600.0] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->percentConfidence->percentConfidence [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->nominalConfidenceThreshold [[50 50 50 ... 50 50 50] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->manualAutomaticQualityControl [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->percentConfidence [[65 58 76 ... 52 50 58] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] windDirection [[314 319 287 127 97 101 119 248 273 319 317 330 284 280 225 129 119 114 321 311 304 318 255 29 223 224 192 124 127 130 108 107 162 160 272 272 275 12 305 311 326 260 253 223 112 118 250 271 19 11 311 287 104 269 270 271 31 29 354 305 308 306 126 107 105 153 262 329 339 292 308 116 129 127 101 118 121 136 146 272 269 269 337 303 317 319 302 163 133 114 111 102 121 291 290 295 128 129 133 111] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->nominalConfidenceThreshold [[50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->percentConfidence [[65 58 76 100 63 76 72 50 64 70 56 62 100 100 77 100 60 60 76 74 78 64 78 71 75 77 64 58 100 62 54 65 52 64 68 73 75 65 73 74 63 65 78 75 56 52 64 65 75 65 72 58 52 76 60 58 100 100 68 100 70 78 63 51 60 62 60 67 54 76 67 100 52 63 57 57 57 54 72 66 76 74 50 78 58 54 67 57 58 77 77 61 57 74 69 64 52 52 50 58] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed [[9.600000000000001 10.600000000000001 11.9 7.0 10.5 11.5 12.9 12.200000000000001 37.800000000000004 11.5 12.100000000000001 8.5 13.600000000000001 11.600000000000001 22.6 7.800000000000001 11.3 9.9 12.100000000000001 11.700000000000001 12.700000000000001 7.800000000000001 16.900000000000002 3.4000000000000004 35.4 21.3 9.1 6.4 4.800000000000001 9.0 13.600000000000001 13.5 6.800000000000001 5.4 24.900000000000002 28.0 26.0 12.200000000000001 13.4 11.4 8.3 16.8 17.2 34.4 10.5 8.9 28.0 28.900000000000002 10.100000000000001 12.3 11.100000000000001 12.4 11.8 30.1 13.3 39.800000000000004 8.200000000000001 9.3 14.9 21.1 13.4 10.200000000000001 6.0 11.9 10.8 3.6 24.6 9.700000000000001 10.0 17.0 13.9 2.9000000000000004 10.600000000000001 6.6000000000000005 7.2 8.0 8.4 5.9 4.2 24.1 31.1 40.6 8.9 24.5 13.3 12.700000000000001 13.600000000000001 8.700000000000001 9.700000000000001 7.1000000000000005 7.2 7.1000000000000005 8.3 23.900000000000002 18.0 11.5 9.1 9.600000000000001 4.6000000000000005 4.6000000000000005] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence->percentConfidence [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->nominalConfidenceThreshold [[50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence [[65 58 76 100 63 76 72 50 64 70 56 62 100 100 77 100 60 60 76 74 78 64 78 71 75 77 64 58 100 62 54 65 52 64 68 73 75 65 73 74 63 65 78 75 56 52 64 65 75 65 72 58 52 76 60 58 100 100 68 100 70 78 63 51 60 62 60 67 54 76 67 100 52 63 57 57 57 54 72 66 76 74 50 78 58 54 67 57 58 77 77 61 57 74 69 64 52 52 50 58] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteChannelCentreFrequency [2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 2.77e+13 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satelliteChannelBandWidth [3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12 3.8e+12] coldestClusterTemperature [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] heightAssignmentMethod [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [14 14 14 ... 3 3 1] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] tracerCorrelationMethod [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] landOrSeaQualifier [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteZenithAngle [69.49 69.33 67.01 65.69 65.73 65.75 66.08 68.86 74.75 69.58 68.49 67.76 66.39 66.29 65.23 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] timeSignificance [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] timePeriod [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] airTemperature [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] generatingApplication [[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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tovsOrAtovsProductQualifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K tovsOrAtovsProductQualifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 tovsOrAtovsProductQualifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 tovsOrAtovsProductQualifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 centre->code: ['001033', '001033', '001031'] centre->units: ['Common CODE TABLE C-1', 'Common CODE TABLE C-1', 'CODE TABLE'] centre->scale: [0, 0, 0] centre->reference: [0, 0, 0] centre->width: [8, 8, 16] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: ['033089', '033089'] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: ['K', 'K'] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: [2, 2] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: [0, 0] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: [12, 12] subCentre->code: '001034' subCentre->units: Common CODE TABLE C-12 subCentre->scale: 0 subCentre->reference: 0 subCentre->width: 8 subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 satelliteSensorIndicator->code: '002048' satelliteSensorIndicator->units: CODE TABLE satelliteSensorIndicator->scale: 0 satelliteSensorIndicator->reference: 0 satelliteSensorIndicator->width: 4 satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 orbitNumber->code: '005040' orbitNumber->units: Numeric orbitNumber->scale: 0 orbitNumber->reference: 0 orbitNumber->width: 24 orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 satelliteAntennaCorrectionsVersionNumber->code: '025075' satelliteAntennaCorrectionsVersionNumber->units: Numeric satelliteAntennaCorrectionsVersionNumber->scale: 0 satelliteAntennaCorrectionsVersionNumber->reference: 0 satelliteAntennaCorrectionsVersionNumber->width: 5 satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 scanLineNumber->code: '005041' scanLineNumber->units: Numeric scanLineNumber->scale: 0 scanLineNumber->reference: 0 scanLineNumber->width: 13 scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 fieldOfViewNumber->code: '005043' fieldOfViewNumber->units: Numeric fieldOfViewNumber->scale: 0 fieldOfViewNumber->reference: 0 fieldOfViewNumber->width: 8 fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 majorFrameCount->code: '025070' majorFrameCount->units: Numeric majorFrameCount->scale: 0 majorFrameCount->reference: 0 majorFrameCount->width: 4 majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 scanLineStatusFlagsForAtovs->code: '033030' scanLineStatusFlagsForAtovs->units: FLAG TABLE scanLineStatusFlagsForAtovs->scale: 0 scanLineStatusFlagsForAtovs->reference: 0 scanLineStatusFlagsForAtovs->width: 24 scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 scanLineQualityFlagsForAtovs->code: '033031' scanLineQualityFlagsForAtovs->units: FLAG TABLE scanLineQualityFlagsForAtovs->scale: 0 scanLineQualityFlagsForAtovs->reference: 0 scanLineQualityFlagsForAtovs->width: 24 scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->code: '033089' scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->units: K scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->scale: 2 scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->reference: 0 scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration->width: 12 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 3 second->reference: 0 second->width: 16 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: -2 heightOfStation->reference: -400 heightOfStation->width: 15 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 bearingOrAzimuth->code: '005021' bearingOrAzimuth->units: deg bearingOrAzimuth->scale: 2 bearingOrAzimuth->reference: 0 bearingOrAzimuth->width: 16 solarZenithAngle->code: '007025' solarZenithAngle->units: deg solarZenithAngle->scale: 2 solarZenithAngle->reference: -9000 solarZenithAngle->width: 15 solarAzimuth->code: '005022' solarAzimuth->units: deg solarAzimuth->scale: 2 solarAzimuth->reference: 0 solarAzimuth->width: 16 fieldOfViewQualityFlagsForAtovs->code: '033033' fieldOfViewQualityFlagsForAtovs->units: FLAG TABLE fieldOfViewQualityFlagsForAtovs->scale: 0 fieldOfViewQualityFlagsForAtovs->reference: 0 fieldOfViewQualityFlagsForAtovs->width: 24 radiometerIdentifier->code: '002151' radiometerIdentifier->units: CODE TABLE radiometerIdentifier->scale: 0 radiometerIdentifier->reference: 0 radiometerIdentifier->width: 11 instrumentTemperature->code: '012064' instrumentTemperature->units: K instrumentTemperature->scale: 1 instrumentTemperature->reference: 0 instrumentTemperature->width: 12 tovsOrAtovsOrAvhrrInstrumentationChannelNumber->code: '002150' tovsOrAtovsOrAvhrrInstrumentationChannelNumber->units: CODE TABLE tovsOrAtovsOrAvhrrInstrumentationChannelNumber->scale: 0 tovsOrAtovsOrAvhrrInstrumentationChannelNumber->reference: 0 tovsOrAtovsOrAvhrrInstrumentationChannelNumber->width: 6 log10OfTemperatureRadianceCentralWaveNumberForAtovs->code: '025076' log10OfTemperatureRadianceCentralWaveNumberForAtovs->units: log (m-1) log10OfTemperatureRadianceCentralWaveNumberForAtovs->scale: 8 log10OfTemperatureRadianceCentralWaveNumberForAtovs->reference: 0 log10OfTemperatureRadianceCentralWaveNumberForAtovs->width: 30 bandwidthCorrectionCoefficient1ForAtovs->code: '025077' bandwidthCorrectionCoefficient1ForAtovs->units: Numeric bandwidthCorrectionCoefficient1ForAtovs->scale: 5 bandwidthCorrectionCoefficient1ForAtovs->reference: -100000 bandwidthCorrectionCoefficient1ForAtovs->width: 18 bandwidthCorrectionCoefficient2ForAtovs->code: '025078' bandwidthCorrectionCoefficient2ForAtovs->units: Numeric bandwidthCorrectionCoefficient2ForAtovs->scale: 5 bandwidthCorrectionCoefficient2ForAtovs->reference: 0 bandwidthCorrectionCoefficient2ForAtovs->width: 17 channelQualityFlagsForAtovs->code: '033032' channelQualityFlagsForAtovs->units: FLAG TABLE channelQualityFlagsForAtovs->scale: 0 channelQualityFlagsForAtovs->reference: 0 channelQualityFlagsForAtovs->width: 24 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 2 brightnessTemperature->reference: 0 brightnessTemperature->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE defined by originating/generating centre generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 softwareIdentification->code: '025060' softwareIdentification->units: Numeric softwareIdentification->scale: 0 softwareIdentification->reference: 0 softwareIdentification->width: 14 ecmwf-eccodes-python-b43a0f2/tests/sample-data/amsu-a-noaa-19.items0000664000175000017500000006367215172126764025300 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 3 dataSubCategory 55 masterTablesVersionNumber 26 localTablesVersionNumber 1 typicalYearOfCentury 18 typicalMonth 9 typicalDay 13 typicalHour 13 typicalMinute 36 typicalDate 20180913 typicalTime 133600 rdbType 2 oldSubtype 155 localYear 2018 localMonth 9 localDay 13 localHour 13 localMinute 36 localSecond 8 rdbtimeDay 13 rdbtimeHour 13 rdbtimeMinute 46 rdbtimeSecond 53 rdbtimeTime 134653 rectimeDay 13 rectimeHour 13 rectimeMinute 46 rectimeSecond 53 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 30 localLongitude1 10.1123 localLatitude1 51.6331 localLongitude2 43.2584 localLatitude2 58.9649 localNumberOfObservations 150 satelliteID 223 observedData 1 compressedData 1 unexpandedDescriptors [310009 222000 236000 101127 31031 1031 1032 101015 33089 25060] tovsOrAtovsProductQualifier [[3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2]] tovsOrAtovsProductQualifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] centre [[254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254] [254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254] [254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254 254]] centre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] subCentre [[180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180] [180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180 180]] subCentre->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteIdentifier [223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223 223] satelliteIdentifier->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteSensorIndicator [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] satelliteSensorIndicator->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] orbitNumber [49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465 49465] orbitNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteAntennaCorrectionsVersionNumber [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] satelliteAntennaCorrectionsVersionNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] scanLineNumber [8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180 8180] scanLineNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] fieldOfViewNumber [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30] fieldOfViewNumber->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] majorFrameCount [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] majorFrameCount->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] scanLineStatusFlagsForAtovs [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] scanLineStatusFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] scanLineQualityFlagsForAtovs [327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808 327808] scanLineQualityFlagsForAtovs->noiseEquivalentDeltaTemperatureNedtQualityIndicatorsForWarmTargetCalibration [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] year [2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018] month [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] day [13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13] hour [13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13] minute [36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36] second [39.64 39.843 40.046 40.249 40.452 40.655 40.858 41.061 41.264 41.467 41.67 41.873 42.076 42.279 42.482 42.685 42.888 43.091 43.294 43.497 43.7 43.903 44.106 44.309 44.512 44.715 44.918 45.121 45.324 45.527] latitude [53.2632 53.8759 54.3657 54.7709 55.115 55.4136 55.6773 55.9135 56.128 56.3249 56.5075 56.6784 56.8397 56.9931 57.1399 57.2814 57.4185 57.5522 57.6831 57.8119 57.9391 58.0651 58.1902 58.3145 58.4377 58.5591 58.6771 58.7889 58.8886 58.9649] longitude [10.1123 11.9438 13.5067 14.8754 16.0985 17.21 18.2343 19.19 20.0919 20.9516 21.7789 22.5822 23.3689 24.1459 24.9194 25.6957 26.4812 27.2825 28.1066 28.9616 29.8565 30.8023 31.812 32.9018 34.0925 35.4116 36.8959 38.5979 40.5944 43.0064] heightOfStation [850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900. 850900.] satelliteZenithAngle [57.83 53.24 48.87 44.65 40.53 36.5 32.53 28.61 24.73 20.88 17.05 13.24 9.45 5.66 1.88 1.88 5.66 9.45 13.24 17.05 20.88 24.73 28.61 32.53 36.5 40.53 44.65 48.87 53.24 57.82] bearingOrAzimuth [ 60.47 61.94 63.21 64.32 65.33 66.24 67.08 67.87 68.62 69.34 70.03 70.7 71.36 72.01 72.66 253.32 253.98 254.66 255.36 256.08 256.84 257.64 258.5 259.43 260.45 261.57 262.84 264.3 266.01 268.08] solarZenithAngle [57.39 58.59 59.59 60.44 61.19 61.87 62.48 63.05 63.58 64.08 64.55 65.01 65.46 65.9 66.33 66.76 67.19 67.63 68.07 68.53 69.01 69.51 70.04 70.61 71.22 71.9 72.66 73.52 74.53 75.73] solarAzimuth [223.19 224.88 226.32 227.58 228.7 229.72 230.65 231.52 232.34 233.12 233.87 234.59 235.31 236.01 236.71 237.41 238.11 238.84 239.58 240.35 241.15 242. 242.91 243.89 244.96 246.14 247.47 248.99 250.78 252.93] fieldOfViewQualityFlagsForAtovs [6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456 6291456] radiometerIdentifier [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4] [6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6]] instrumentTemperature [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0 295.0] [263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5 263.5] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] tovsOrAtovsOrAvhrrInstrumentationChannelNumber [[28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30] [31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31] [32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32] [33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35] [36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36 36] [37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37 37] [38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38 38] [39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39 39] [40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40] [41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41] [42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42]] log10OfTemperatureRadianceCentralWaveNumberForAtovs [[1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643 1.89975643] [2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894 2.02010894] [2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718 2.22474718] [2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313 2.24581313] [2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171 2.25231171] [2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833 2.25877833] [2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796 2.26306796] [2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227 2.26747227] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073 2.28126073] [2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923 2.47256923]] bandwidthCorrectionCoefficient1ForAtovs [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0. 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1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]] channelQualityFlagsForAtovs [[3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016 3670016] [3670016 3670016 3670016 3670016 3670016 3670016 3670016 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220.25 220.33 221.36 221.48000000000002 222.37 222.33 221.65 221.64000000000001 221.26 221.15 221.04 221.18 221.51 220.64000000000001 219.91 221.28 221.6 221.91 221.43 222.78 221.96 222.1 222.85 221.89000000000001 222.49] [218.35 218.37 218.28 218.35 218.51 218.36 218.4 218.51 218.33 218.39000000000001 218.35 218.41 218.63 218.47 218.63 218.57 218.79 218.57 218.57 218.75 218.8 218.68 218.94 218.98000000000002 219.04 218.88 218.93 218.54 218.59 218.64000000000001] [220.88 220.52 220.44 219.9 219.74 219.82 219.86 220.12 219.42000000000002 219.78 219.74 219.72 219.86 219.48000000000002 219.93 219.64000000000001 219.79 219.65 219.57 219.9 219.65 219.6 219.71 219.6 219.89000000000001 220.27 219.71 219.79 219.76 219.88] [225.53 224.43 224.28 223.34 223.3 223.17000000000002 223.02 223.05 222.91 222.71 222.85 222.77 222.33 222.57 222.25 222.19 222.43 222.13 222.81 222.22 222.76 222.61 223.07 222.75 223.35 223.51 223.21 223.84 223.83 224.92000000000002] [233.35 232.77 231.94 231.05 230.54 229.9 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264.29 272.25 274.11]] generatingApplication [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] softwareIdentification [801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801 801] ecmwf-eccodes-python-b43a0f2/tests/sample-data/aura-omi-ak.items0000664000175000017500000003025615172126764025045 0ustar alastairalastairmessageNumber 1 edition 4 masterTableNumber 0 bufrHeaderCentre 98 bufrHeaderSubCentre 0 updateSequenceNumber 0 dataCategory 3 internationalDataSubCategory 0 dataSubCategory 209 masterTablesVersionNumber 13 localTablesVersionNumber 101 typicalYear 2014 typicalMonth 7 typicalDay 17 typicalHour 21 typicalMinute 17 typicalSecond 44 typicalDate 20140717 typicalTime 211744 numberOfSubsets 10 observedData 1 compressedData 1 unexpandedDescriptors [ 1211 310022 301011 301013 301021 102004 27001 28001 7022 5040 5043 20010 20016 13040 8043 8044 33054 10040 114000 31001 207002 7004 7004 207000 8090 15021 8090 15043 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[4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01 4.880000e+01] [1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02 1.404000e+02] [3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02 3.277000e+02] [6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02 6.543000e+02] [1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03 1.160600e+03] [1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03 1.877700e+03] [2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03 2.825300e+03] [4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03 4.011100e+03] [5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03 5.431800e+03] [6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03 6.770700e+03] [7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03 7.955800e+03] [9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03 9.236100e+03] [1.063310e+04 1.063320e+04 1.063320e+04 1.063320e+04 1.063320e+04 1.063310e+04 1.063320e+04 1.063310e+04 1.063310e+04 1.063310e+04] [1.217990e+04 1.218000e+04 1.218000e+04 1.218000e+04 1.218000e+04 1.217990e+04 1.218000e+04 1.217990e+04 1.217990e+04 1.217990e+04] [1.391560e+04 1.391580e+04 1.391580e+04 1.391600e+04 1.391600e+04 1.391560e+04 1.391590e+04 1.391560e+04 1.391570e+04 1.391560e+04] [1.587370e+04 1.587410e+04 1.587410e+04 1.587450e+04 1.587450e+04 1.587380e+04 1.587440e+04 1.587380e+04 1.587380e+04 1.587370e+04] [1.808080e+04 1.808150e+04 1.808160e+04 1.808240e+04 1.808230e+04 1.808100e+04 1.808210e+04 1.808100e+04 1.808110e+04 1.808070e+04] [2.056490e+04 2.056610e+04 2.056620e+04 2.056750e+04 2.056730e+04 2.056520e+04 2.056710e+04 2.056520e+04 2.056530e+04 2.056480e+04] [2.335640e+04 2.335830e+04 2.335850e+04 2.336050e+04 2.336030e+04 2.335690e+04 2.335990e+04 2.335700e+04 2.335710e+04 2.335620e+04] [2.648890e+04 2.649180e+04 2.649210e+04 2.649500e+04 2.649470e+04 2.648960e+04 2.649410e+04 2.648970e+04 2.649000e+04 2.648870e+04] [2.999870e+04 3.000280e+04 3.000320e+04 3.000740e+04 3.000690e+04 2.999980e+04 3.000610e+04 2.999990e+04 3.000030e+04 2.999840e+04] [3.505080e+04 3.505700e+04 3.505760e+04 3.506380e+04 3.506310e+04 3.505240e+04 3.506190e+04 3.505270e+04 3.505320e+04 3.505040e+04] [4.201310e+04 4.202230e+04 4.202330e+04 4.203270e+04 4.203160e+04 4.201550e+04 4.202980e+04 4.201580e+04 4.201670e+04 4.201240e+04] [5.002150e+04 5.003480e+04 5.003610e+04 5.004950e+04 5.004800e+04 5.002500e+04 5.004530e+04 5.002550e+04 5.002670e+04 5.002060e+04] [5.864940e+04 5.866720e+04 5.866900e+04 5.868700e+04 5.868500e+04 5.865400e+04 5.868140e+04 5.865470e+04 5.865630e+04 5.864810e+04] [6.729080e+04 6.731340e+04 6.731580e+04 6.733870e+04 6.733610e+04 6.729670e+04 6.733150e+04 6.729750e+04 6.729960e+04 6.728920e+04] [7.549990e+04 7.552730e+04 7.553010e+04 7.555780e+04 7.555470e+04 7.550700e+04 7.554920e+04 7.550800e+04 7.551050e+04 7.549790e+04] [8.293090e+04 8.296260e+04 8.296590e+04 8.299800e+04 8.299440e+04 8.293910e+04 8.298800e+04 8.294030e+04 8.294310e+04 8.292860e+04] [8.928410e+04 8.931960e+04 8.932330e+04 8.935920e+04 8.935510e+04 8.929330e+04 8.934800e+04 8.929460e+04 8.929780e+04 8.928150e+04] [9.433740e+04 9.437590e+04 9.437990e+04 9.441890e+04 9.441440e+04 9.434740e+04 9.440670e+04 9.434890e+04 9.435230e+04 9.433460e+04] [9.798740e+04 9.802800e+04 9.803220e+04 9.807320e+04 9.806860e+04 9.799790e+04 9.806040e+04 9.799950e+04 9.800310e+04 9.798440e+04] [1.003480e+05 1.003898e+05 1.003941e+05 1.004365e+05 1.004317e+05 1.003589e+05 1.004233e+05 1.003604e+05 1.003642e+05 1.003450e+05] [1.015305e+05 1.015729e+05 1.015773e+05 1.016202e+05 1.016153e+05 1.015415e+05 1.016068e+05 1.015431e+05 1.015469e+05 1.015274e+05]] averagingKernelValue [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [1.298375 1.320335 1.319448 1.681019 1.57062 1.316611 1.695109 1.368713 1.30037 1.276733] [1.285137 1.310382 1.309519 1.674284 1.565549 1.302056 1.682963 1.358344 1.292721 1.269217] [1.270797 1.298218 1.297383 1.637916 1.532591 1.287502 1.645174 1.341062 1.279608 1.255257] [1.242115 1.262833 1.263184 1.577302 1.478081 1.257274 1.58849 1.303042 1.245733 1.223044] [1.209022 1.230764 1.23119 1.527464 1.434981 1.222567 1.538555 1.267326 1.215136 1.194052] [1.168206 1.193167 1.193681 1.474932 1.385543 1.178904 1.483221 1.223546 1.177982 1.158617] [1.138422 1.164416 1.164997 1.430482 1.346246 1.147556 1.437334 1.188983 1.149571 1.130698] [1.09871 1.132347 1.133004 1.376604 1.299343 1.106132 1.384699 1.149811 1.117881 1.099558] [1.054585 1.099173 1.102114 1.328113 1.25751 1.057991 1.334764 1.10603 1.082913 1.065197] [0.993913 1.049412 1.054676 1.252682 1.19286 0.993056 1.256486 1.042664 1.032647 1.014729] [0.913385 0.981957 0.988483 1.157047 1.112998 0.907969 1.149867 0.95856 0.964896 0.950302] [0.83396 0.922244 0.931115 1.06276 1.036939 0.822882 1.044598 0.87676 0.904795 0.89017 ] [0.747917 0.861424 0.873748 0.965778 0.959612 0.712045 0.939328 0.788047 0.841416 0.82789 ] [0.665183 0.802816 0.817484 0.863408 0.875947 0.616881 0.823262 0.701638 0.780222 0.767758] [0.486477 0.745314 0.735846 0.703118 0.782141 0.437751 0.705846 0.62099 0.723399 0.715142] [0.348587 0.699976 0.66524 0.56034 0.704814 0.360501 0.610023 0.551863 0.676411 0.66897 ] [0.292327 0.621464 0.465558 0.299027 0.533681 0.300044 0.541193 0.489649 0.614124 0.5981 ] [0.24379 0.23222 0.211818 0.241108 0.162259 0.248544 0.453469 0.426283 0.425079 0.258783] [0.206284 0.194622 0.184237 0.198005 0.131836 0.208239 0.392736 0.38135 0.224013 0.159994] [0.174293 0.166977 0.15776 0.160289 0.105215 0.174652 0.286117 0.33757 0.15517 0.137445] [0.101487 0.096205 0.090464 0.090247 0.05958 0.100761 0.153855 0.13595 0.089605 0.07946 ]] generatingApplication [[81 81 81 81 81 81 81 81 81 81] [81 81 81 81 81 81 81 81 81 81]] firstOrderStatistics [[ 9 9 9 9 9 9 9 9 9 9] [14 14 14 14 14 14 14 14 14 14]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/synop_multi_subset.bufr0000664000175000017500000000316415172126764026524 0ustar alastairalastairBUFRrXß €ÇO *C ª)'¦©§–¤'¦*¾-(œár_hÿÿÿÿÿÿÿÿÿÿÿÿøC_ëP_ÿÿÿ€dÿÿÿÿÿÿÿÿø÷ÿÿÿÿÇÿÿÿÿÿÿÿÿÿÀ2?ÿÿ÷ÿ!ÿà°ÿ௤"þßÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ€?ÿÿÀŠŠ*jÉ)dï‹Jæž` ?¢+¿ÿÿÿÿÿÿÿÿÿÿÿþÐ>Îç[ÿÿÿàÿÿÿÿÿÿÿÿþýÿÿÿÿñÿÿÿÿÿÿÿÿÿð ÿÿýÿÀÈøhøg±è?·ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿàÿÿð(rZ²J¢B j ‘ûâÒ€u*$hIÁÿÿÿÿÿÿÿÿÿÿÿÿ€d5µ[VÿÿÿøGÿÿÿÿÿÿÿÿÿ€?ÿÿÿüÿÿÿÿÿÿÿÿü#ÿÿÿð@2þë_þÞÀ2 Oíÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿøÿÿü Œ¤ž¦¨‚@@@@@@@@@@@@@@>ø´ JSIÎÀIsÿÿÿÿÿÿÿÿÿÿÿÿà }-dUÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿàßÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿð ‡ÿ€¾—ÿ€¼ ˆûÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿþÿÿÿš#*©*§"©¢ª¾-(6Ö4µÜæÿÿÿÿÿÿÿÿÿÿÿÿøCa+[ÿÿÿ€dÿÿÿÿÿÿÿÿø÷ÿÿÿÿÇÿÿÿÿÿÿÿÿÿÀ2?ÿÿ÷ÿh!ÿà²ÿà¯Ì"þßÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ€?ÿÿÀ®i‰éh©Ä $ ÉéˆJ¤ï‹JÍ0>^þ¿ÿÿÿÿÿÿÿÿÿÿÿþÏNÎKgÿÿÿàÿÿÿÿÿÿÿÿþýÿÿÿÿñÿÿÿÿÿÿÿÿÿð ÿÿýÿÀÈøgÙøg§È?·ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿàÿÿð+ê ‚*bš²zbaûâÒ€rù¢$gÌÁŸÿÿÿÿÿÿÿÿÿÿÿÿ€d4ô¤ßÿÿÿøGÿÿÿÿÿÿÿÿÿ€?ÿÿÿüÿÿÿÿÿÿÿÿü#ÿÿÿð@2þd_þ\À2 Oíÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿøÿÿü ü–’¦Š@@@@@@@@@@@@@@@@>ø´ ÁúI+0Rƒÿÿÿÿÿÿÿÿÿÿÿÿà 4­(w?ÿÿþ‘ÿÿÿÿÿÿÿÿÿàßÿÿÿÿÿÿÿÿÿÿÿÿÿÈÿÿÿßü ‡ÿ€šWÿ€˜p 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satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002028' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002029' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 satelliteInstrumentUsedInDataProcessing->code: '002152' satelliteInstrumentUsedInDataProcessing->units: FLAG TABLE satelliteInstrumentUsedInDataProcessing->scale: 0 satelliteInstrumentUsedInDataProcessing->reference: 0 satelliteInstrumentUsedInDataProcessing->width: 31 satelliteDerivedWindComputationMethod->code: '002023' satelliteDerivedWindComputationMethod->units: CODE TABLE satelliteDerivedWindComputationMethod->scale: 0 satelliteDerivedWindComputationMethod->reference: 0 satelliteDerivedWindComputationMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 pressure->qualityControl->qualityControl->qualityControl->code: '033035' pressure->qualityControl->qualityControl->qualityControl->units: CODE TABLE pressure->qualityControl->qualityControl->qualityControl->scale: 0 pressure->qualityControl->qualityControl->qualityControl->reference: 0 pressure->qualityControl->qualityControl->qualityControl->width: 4 pressure->percentConfidence->percentConfidence->percentConfidence->code: '033007' pressure->percentConfidence->percentConfidence->percentConfidence->units: % pressure->percentConfidence->percentConfidence->percentConfidence->scale: 0 pressure->percentConfidence->percentConfidence->percentConfidence->reference: 0 pressure->percentConfidence->percentConfidence->percentConfidence->width: 7 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 pressure->qualityControl->qualityControl->code: '033035' pressure->qualityControl->qualityControl->units: CODE TABLE pressure->qualityControl->qualityControl->scale: 0 pressure->qualityControl->qualityControl->reference: 0 pressure->qualityControl->qualityControl->width: 4 pressure->percentConfidence->percentConfidence->code: '033007' pressure->percentConfidence->percentConfidence->units: % pressure->percentConfidence->percentConfidence->scale: 0 pressure->percentConfidence->percentConfidence->reference: 0 pressure->percentConfidence->percentConfidence->width: 7 pressure->nominalConfidenceThreshold->code: '033036' pressure->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->width: 7 pressure->qualityControl->code: '033035' pressure->qualityControl->units: CODE TABLE pressure->qualityControl->scale: 0 pressure->qualityControl->reference: 0 pressure->qualityControl->width: 4 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windDirection->qualityControl->qualityControl->qualityControl->code: '033035' windDirection->qualityControl->qualityControl->qualityControl->units: CODE TABLE windDirection->qualityControl->qualityControl->qualityControl->scale: 0 windDirection->qualityControl->qualityControl->qualityControl->reference: 0 windDirection->qualityControl->qualityControl->qualityControl->width: 4 windDirection->percentConfidence->percentConfidence->percentConfidence->code: '033007' windDirection->percentConfidence->percentConfidence->percentConfidence->units: % windDirection->percentConfidence->percentConfidence->percentConfidence->scale: 0 windDirection->percentConfidence->percentConfidence->percentConfidence->reference: 0 windDirection->percentConfidence->percentConfidence->percentConfidence->width: 7 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windDirection->qualityControl->qualityControl->code: '033035' windDirection->qualityControl->qualityControl->units: CODE TABLE windDirection->qualityControl->qualityControl->scale: 0 windDirection->qualityControl->qualityControl->reference: 0 windDirection->qualityControl->qualityControl->width: 4 windDirection->percentConfidence->percentConfidence->code: '033007' windDirection->percentConfidence->percentConfidence->units: % windDirection->percentConfidence->percentConfidence->scale: 0 windDirection->percentConfidence->percentConfidence->reference: 0 windDirection->percentConfidence->percentConfidence->width: 7 windDirection->nominalConfidenceThreshold->code: '033036' windDirection->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->width: 7 windDirection->qualityControl->code: '033035' windDirection->qualityControl->units: CODE TABLE windDirection->qualityControl->scale: 0 windDirection->qualityControl->reference: 0 windDirection->qualityControl->width: 4 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windSpeed->qualityControl->qualityControl->qualityControl->code: '033035' windSpeed->qualityControl->qualityControl->qualityControl->units: CODE TABLE windSpeed->qualityControl->qualityControl->qualityControl->scale: 0 windSpeed->qualityControl->qualityControl->qualityControl->reference: 0 windSpeed->qualityControl->qualityControl->qualityControl->width: 4 windSpeed->percentConfidence->percentConfidence->percentConfidence->code: '033007' windSpeed->percentConfidence->percentConfidence->percentConfidence->units: % windSpeed->percentConfidence->percentConfidence->percentConfidence->scale: 0 windSpeed->percentConfidence->percentConfidence->percentConfidence->reference: 0 windSpeed->percentConfidence->percentConfidence->percentConfidence->width: 7 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windSpeed->qualityControl->qualityControl->code: '033035' windSpeed->qualityControl->qualityControl->units: CODE TABLE windSpeed->qualityControl->qualityControl->scale: 0 windSpeed->qualityControl->qualityControl->reference: 0 windSpeed->qualityControl->qualityControl->width: 4 windSpeed->percentConfidence->percentConfidence->code: '033007' windSpeed->percentConfidence->percentConfidence->units: % windSpeed->percentConfidence->percentConfidence->scale: 0 windSpeed->percentConfidence->percentConfidence->reference: 0 windSpeed->percentConfidence->percentConfidence->width: 7 windSpeed->nominalConfidenceThreshold->code: '033036' windSpeed->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->width: 7 windSpeed->qualityControl->code: '033035' windSpeed->qualityControl->units: CODE TABLE windSpeed->qualityControl->scale: 0 windSpeed->qualityControl->reference: 0 windSpeed->qualityControl->width: 4 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002154' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 coldestClusterTemperature->code: '012071' coldestClusterTemperature->units: K coldestClusterTemperature->scale: 1 coldestClusterTemperature->reference: 0 coldestClusterTemperature->width: 12 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->qualityControl->qualityControl->qualityControl->code: '033035' coldestClusterTemperature->qualityControl->qualityControl->qualityControl->units: CODE TABLE coldestClusterTemperature->qualityControl->qualityControl->qualityControl->scale: 0 coldestClusterTemperature->qualityControl->qualityControl->qualityControl->reference: 0 coldestClusterTemperature->qualityControl->qualityControl->qualityControl->width: 4 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->units: % coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->width: 7 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033036' coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->qualityControl->qualityControl->code: '033035' coldestClusterTemperature->qualityControl->qualityControl->units: CODE TABLE coldestClusterTemperature->qualityControl->qualityControl->scale: 0 coldestClusterTemperature->qualityControl->qualityControl->reference: 0 coldestClusterTemperature->qualityControl->qualityControl->width: 4 coldestClusterTemperature->percentConfidence->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->percentConfidence->units: % coldestClusterTemperature->percentConfidence->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->percentConfidence->width: 7 coldestClusterTemperature->nominalConfidenceThreshold->code: '033036' coldestClusterTemperature->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->qualityControl->code: '033035' coldestClusterTemperature->qualityControl->units: CODE TABLE coldestClusterTemperature->qualityControl->scale: 0 coldestClusterTemperature->qualityControl->reference: 0 coldestClusterTemperature->qualityControl->width: 4 coldestClusterTemperature->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->units: % coldestClusterTemperature->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->width: 7 heightAssignmentMethod->code: '002163' heightAssignmentMethod->units: CODE TABLE heightAssignmentMethod->scale: 0 heightAssignmentMethod->reference: 0 heightAssignmentMethod->width: 4 tracerCorrelationMethod->code: '002164' tracerCorrelationMethod->units: CODE TABLE tracerCorrelationMethod->scale: 0 tracerCorrelationMethod->reference: 0 tracerCorrelationMethod->width: 3 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 originOfFirstGuessInformationForGoesIOrMSoundings->code: '002057' originOfFirstGuessInformationForGoesIOrMSoundings->units: CODE TABLE originOfFirstGuessInformationForGoesIOrMSoundings->scale: 0 originOfFirstGuessInformationForGoesIOrMSoundings->reference: 0 originOfFirstGuessInformationForGoesIOrMSoundings->width: 4 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timePeriod->code: '004024' timePeriod->units: h timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/geos-mviri-meteosat-7.bufr0000664000175000017500000000147015172126764026617 0ustar alastairalastairBUFR6bY  $ÀÄÝÞ ü  ÅÆ ÁÅÆÁ ÅÆÁ ÅÆÁ ÅÆÁ ÅÆÁ ÅÆÁ üÇ üþûÅÆ Ã Ä ?üþûÅÆ Ã Ä ?üþûÅÆ Ã Ä ?üþûÅÆ Ã Ä ?üþûÅÆ Ã Ä ?üþûÅÆ Ã Ä ?–¤Aj !!!!!!!–¥ !ü!ü!ü!ü!ü!ü!ü˜¥ ˜ÿ˜ÿ˜ÿ˜ÿ˜ÿ˜ÿ˜ÿô €þ–qqî€ >€^N…"£ßÞ…!”šÇËLvØÿøÿÿÿÀð?ÿþÿÿÿÿÿÿÿÿàèl%°5N3Zø Y@Å l SŒÖ ~ÿÿþÿÿþð?øÿÿøÿÿøÀþàÿÿàÿÿàøÿÿÿÿÿÿüà~Ü.à0€ÐØJ8ÿÿÿþp¨¥Ä4( (x´ÿÿÿøHrYU¨“ÿÿÿüÀÿÿÿÀÿÿÿÀÿÿÿþÿøþÿÿÿð<ÿÿÿÿÿÿÿÿÿøÿàøÿÿÿÀð<ÿÿüÿÿüÿÿÿàÿÿàÿÿÿÀð?ÿÿð?ÿÿð?ÿÿÿÿþÿ @ @ @ @ @ @ @ @ @ @ @ @ @ð d`ÉÁ’ƒ$!G˜ Qæy€`Ã`ð ð?ÿÿÿÿþ† ÿÿÿþÿø K7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/sral_sentinel_3a.attributes0000664000175000017500000005073515172126764027240 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteInstruments->code: '002019' satelliteInstruments->units: CODE TABLE satelliteInstruments->scale: 0 satelliteInstruments->reference: 0 satelliteInstruments->width: 11 satelliteCycleNumber->code: '005044' satelliteCycleNumber->units: Numeric satelliteCycleNumber->scale: 0 satelliteCycleNumber->reference: 0 satelliteCycleNumber->width: 11 stationAcquisition->code: '001096' stationAcquisition->units: CCITT IA5 stationAcquisition->scale: 0 stationAcquisition->reference: 0 stationAcquisition->width: 160 orbitNumber->code: '005040' orbitNumber->units: Numeric orbitNumber->scale: 0 orbitNumber->reference: 0 orbitNumber->width: 24 processingCentreIdCode->code: '001040' processingCentreIdCode->units: CCITT IA5 processingCentreIdCode->scale: 0 processingCentreIdCode->reference: 0 processingCentreIdCode->width: 48 softwareVersionNumber->code: '025061' softwareVersionNumber->units: CCITT IA5 softwareVersionNumber->scale: 0 softwareVersionNumber->reference: 0 softwareVersionNumber->width: 96 l1ProcessingFlag->code: '025182' l1ProcessingFlag->units: CODE TABLE l1ProcessingFlag->scale: 0 l1ProcessingFlag->reference: 0 l1ProcessingFlag->width: 2 l1ProcessingQuality->code: '025183' l1ProcessingQuality->units: % l1ProcessingQuality->scale: 2 l1ProcessingQuality->reference: 0 l1ProcessingQuality->width: 14 l2ProcessingFlag->code: '025181' l2ProcessingFlag->units: CODE TABLE l2ProcessingFlag->scale: 0 l2ProcessingFlag->reference: 0 l2ProcessingFlag->width: 2 l2ProductStatus->code: '025184' l2ProductStatus->units: CODE TABLE l2ProductStatus->scale: 0 l2ProductStatus->reference: 0 l2ProductStatus->width: 2 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 secondsWithinAMinuteMicrosecond->code: '004007' secondsWithinAMinuteMicrosecond->units: s secondsWithinAMinuteMicrosecond->scale: 6 secondsWithinAMinuteMicrosecond->reference: 0 secondsWithinAMinuteMicrosecond->width: 26 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 spacecraftRoll->code: '005063' spacecraftRoll->units: deg spacecraftRoll->scale: 2 spacecraftRoll->reference: 0 spacecraftRoll->width: 16 spacecraftPitch->code: '005064' spacecraftPitch->units: deg spacecraftPitch->scale: 2 spacecraftPitch->reference: 0 spacecraftPitch->width: 16 spacecraftYaw->code: '005066' spacecraftYaw->units: deg spacecraftYaw->scale: 2 spacecraftYaw->reference: 0 spacecraftYaw->width: 16 cogAltitudeAboveReferenceEllipsoid->code: '010081' cogAltitudeAboveReferenceEllipsoid->units: m cogAltitudeAboveReferenceEllipsoid->scale: 3 cogAltitudeAboveReferenceEllipsoid->reference: 0 cogAltitudeAboveReferenceEllipsoid->width: 31 instantaneousAltitudeRate->code: '010082' instantaneousAltitudeRate->units: m/s instantaneousAltitudeRate->scale: 3 instantaneousAltitudeRate->reference: -65536 instantaneousAltitudeRate->width: 17 orbitQualifier->code: '008075' orbitQualifier->units: CODE TABLE orbitQualifier->scale: 0 orbitQualifier->reference: 0 orbitQualifier->width: 2 orbitStateFlag->code: '025090' orbitStateFlag->units: CODE TABLE orbitStateFlag->scale: 0 orbitStateFlag->reference: 0 orbitStateFlag->width: 4 surfaceType->code: '008029' surfaceType->units: CODE TABLE surfaceType->scale: 0 surfaceType->reference: 0 surfaceType->width: 8 distance->code: '006021' distance->units: m distance->scale: -1 distance->reference: 0 distance->width: 13 oceanDepthOrLandElevation->code: '010087' oceanDepthOrLandElevation->units: m oceanDepthOrLandElevation->scale: 1 oceanDepthOrLandElevation->reference: -131072 oceanDepthOrLandElevation->width: 18 radiometerStateFlag->code: '025096' radiometerStateFlag->units: FLAG TABLE radiometerStateFlag->scale: 0 radiometerStateFlag->reference: 0 radiometerStateFlag->width: 5 radiometerDataQualityFlag->code: '040012' radiometerDataQualityFlag->units: FLAG TABLE radiometerDataQualityFlag->scale: 0 radiometerDataQualityFlag->reference: 0 radiometerDataQualityFlag->width: 8 radiometerSensedSurfaceType->code: '008077' radiometerSensedSurfaceType->units: CODE TABLE radiometerSensedSurfaceType->scale: 0 radiometerSensedSurfaceType->reference: 0 radiometerSensedSurfaceType->width: 7 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 1 brightnessTemperature->reference: 0 brightnessTemperature->width: 12 standardDeviationBrightnessTemperature->code: '012065' standardDeviationBrightnessTemperature->units: K standardDeviationBrightnessTemperature->scale: 1 standardDeviationBrightnessTemperature->reference: 0 standardDeviationBrightnessTemperature->width: 12 radiometerBrightnessTemperatureInterpretationFlag->code: '040013' radiometerBrightnessTemperatureInterpretationFlag->units: CODE TABLE radiometerBrightnessTemperatureInterpretationFlag->scale: 0 radiometerBrightnessTemperatureInterpretationFlag->reference: 0 radiometerBrightnessTemperatureInterpretationFlag->width: 3 height->code: '007002' height->units: m height->scale: -1 height->reference: -40 height->width: 16 windSpeedFromRadiometer->code: '011098' windSpeedFromRadiometer->units: m/s windSpeedFromRadiometer->scale: 2 windSpeedFromRadiometer->reference: 0 windSpeedFromRadiometer->width: 12 radiometerWaterVapourContent->code: '013090' radiometerWaterVapourContent->units: kg m-2 radiometerWaterVapourContent->scale: 1 radiometerWaterVapourContent->reference: 0 radiometerWaterVapourContent->width: 10 radiometerLiquidContent->code: '013091' radiometerLiquidContent->units: kg m-2 radiometerLiquidContent->scale: 2 radiometerLiquidContent->reference: 0 radiometerLiquidContent->width: 8 radiometerWetTroposphericCorrection->code: '025164' radiometerWetTroposphericCorrection->units: m radiometerWetTroposphericCorrection->scale: 4 radiometerWetTroposphericCorrection->reference: -5000 radiometerWetTroposphericCorrection->width: 13 altimeterStateFlag->code: '025095' altimeterStateFlag->units: FLAG TABLE altimeterStateFlag->scale: 0 altimeterStateFlag->reference: 0 altimeterStateFlag->width: 2 auxiliaryAltimeterStateFlags->code: '040023' auxiliaryAltimeterStateFlags->units: FLAG TABLE auxiliaryAltimeterStateFlags->scale: 0 auxiliaryAltimeterStateFlags->reference: 0 auxiliaryAltimeterStateFlags->width: 5 bandSpecificAltimeterCorrectionQualityFlag->code: '025113' bandSpecificAltimeterCorrectionQualityFlag->units: FLAG TABLE bandSpecificAltimeterCorrectionQualityFlag->scale: 0 bandSpecificAltimeterCorrectionQualityFlag->reference: 0 bandSpecificAltimeterCorrectionQualityFlag->width: 9 altimeterEchoType->code: '008074' altimeterEchoType->units: CODE TABLE altimeterEchoType->scale: 0 altimeterEchoType->reference: 0 altimeterEchoType->width: 2 altimeterEchoProcessingMode->code: '025201' altimeterEchoProcessingMode->units: Code table altimeterEchoProcessingMode->scale: 0 altimeterEchoProcessingMode->reference: 0 altimeterEchoProcessingMode->width: 8 altimeterRainFlag->code: '021144' altimeterRainFlag->units: FLAG TABLE altimeterRainFlag->scale: 0 altimeterRainFlag->reference: 0 altimeterRainFlag->width: 2 altimeterTrackingMode->code: '025202' altimeterTrackingMode->units: CODE TABLE altimeterTrackingMode->scale: 0 altimeterTrackingMode->reference: 0 altimeterTrackingMode->width: 8 kuBandRainAttenuation->code: '021143' kuBandRainAttenuation->units: dB kuBandRainAttenuation->scale: 2 kuBandRainAttenuation->reference: -1073741824 kuBandRainAttenuation->width: 31 intensityOfPrecipitation->code: '013055' intensityOfPrecipitation->units: kg m-2 s-1 intensityOfPrecipitation->scale: 4 intensityOfPrecipitation->reference: 0 intensityOfPrecipitation->width: 8 icePresenceIndicator->code: '021169' icePresenceIndicator->units: CODE TABLE icePresenceIndicator->scale: 0 icePresenceIndicator->reference: 0 icePresenceIndicator->width: 2 squaredOffNadirAngleOfSatelliteFromWaveformData->code: '010101' squaredOffNadirAngleOfSatelliteFromWaveformData->units: deg2 squaredOffNadirAngleOfSatelliteFromWaveformData->scale: 2 squaredOffNadirAngleOfSatelliteFromWaveformData->reference: -32768 squaredOffNadirAngleOfSatelliteFromWaveformData->width: 16 totalElectronCountPerSquareMetre->code: '015012' totalElectronCountPerSquareMetre->units: m-2 totalElectronCountPerSquareMetre->scale: -16 totalElectronCountPerSquareMetre->reference: 0 totalElectronCountPerSquareMetre->width: 6 windSpeedFromAltimeter->code: '011097' windSpeedFromAltimeter->units: m/s windSpeedFromAltimeter->scale: 2 windSpeedFromAltimeter->reference: 0 windSpeedFromAltimeter->width: 12 meteorologicalMapAvailability->code: '040024' meteorologicalMapAvailability->units: CODE TABLE meteorologicalMapAvailability->scale: 0 meteorologicalMapAvailability->reference: 0 meteorologicalMapAvailability->width: 3 modelDryTroposphericCorrection->code: '025126' modelDryTroposphericCorrection->units: m modelDryTroposphericCorrection->scale: 3 modelDryTroposphericCorrection->reference: -32768 modelDryTroposphericCorrection->width: 16 modelWetTroposphericCorrection->code: '025128' modelWetTroposphericCorrection->units: m modelWetTroposphericCorrection->scale: 3 modelWetTroposphericCorrection->reference: -32768 modelWetTroposphericCorrection->width: 16 interpolationFlag->code: '040011' interpolationFlag->units: FLAG TABLE interpolationFlag->scale: 0 interpolationFlag->reference: 0 interpolationFlag->width: 8 u->code: '011095' u->units: m/s u->scale: 1 u->reference: -4096 u->width: 13 v->code: '011096' v->units: m/s v->scale: 1 v->reference: -4096 v->width: 13 totalGeocentricOceanTideHeightSolution1->code: '010088' totalGeocentricOceanTideHeightSolution1->units: m totalGeocentricOceanTideHeightSolution1->scale: 3 totalGeocentricOceanTideHeightSolution1->reference: -32768 totalGeocentricOceanTideHeightSolution1->width: 16 totalGeocentricOceanTideHeightSolution2->code: '010089' totalGeocentricOceanTideHeightSolution2->units: m totalGeocentricOceanTideHeightSolution2->scale: 3 totalGeocentricOceanTideHeightSolution2->reference: -32768 totalGeocentricOceanTideHeightSolution2->width: 16 longPeriodTideHeight->code: '010090' longPeriodTideHeight->units: m longPeriodTideHeight->scale: 3 longPeriodTideHeight->reference: -32768 longPeriodTideHeight->width: 16 solidEarthTideHeight->code: '010092' solidEarthTideHeight->units: m solidEarthTideHeight->scale: 3 solidEarthTideHeight->reference: -32768 solidEarthTideHeight->width: 16 geocentricPoleTideHeight->code: '010093' geocentricPoleTideHeight->units: m geocentricPoleTideHeight->scale: 3 geocentricPoleTideHeight->reference: -32768 geocentricPoleTideHeight->width: 16 loadingTideHeightGeocentricOceanTideSolution1->code: '010098' loadingTideHeightGeocentricOceanTideSolution1->units: m loadingTideHeightGeocentricOceanTideSolution1->scale: 4 loadingTideHeightGeocentricOceanTideSolution1->reference: -2000 loadingTideHeightGeocentricOceanTideSolution1->width: 12 loadingTideHeightGeocentricOceanTideSolution2->code: '010099' loadingTideHeightGeocentricOceanTideSolution2->units: m loadingTideHeightGeocentricOceanTideSolution2->scale: 4 loadingTideHeightGeocentricOceanTideSolution2->reference: -2000 loadingTideHeightGeocentricOceanTideSolution2->width: 12 nonEquilibriumLongPeriodTideHeight->code: '010100' nonEquilibriumLongPeriodTideHeight->units: m nonEquilibriumLongPeriodTideHeight->scale: 4 nonEquilibriumLongPeriodTideHeight->reference: -2000 nonEquilibriumLongPeriodTideHeight->width: 12 invertedBarometerCorrection->code: '025127' invertedBarometerCorrection->units: m invertedBarometerCorrection->scale: 3 invertedBarometerCorrection->reference: -32768 invertedBarometerCorrection->width: 16 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->code: '040014' highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->units: m highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->scale: 4 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->reference: -3000 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->width: 13 meanSeaSurfaceHeight->code: '010085' meanSeaSurfaceHeight->units: m meanSeaSurfaceHeight->scale: 3 meanSeaSurfaceHeight->reference: -131072 meanSeaSurfaceHeight->width: 18 geoidHeight->code: '010086' geoidHeight->units: m geoidHeight->scale: 3 geoidHeight->reference: -131072 geoidHeight->width: 18 meanDynamicTopography->code: '010096' meanDynamicTopography->units: m meanDynamicTopography->scale: 3 meanDynamicTopography->reference: -131072 meanDynamicTopography->width: 18 meanDynamicTopographyAccuracy->code: '010200' meanDynamicTopographyAccuracy->units: m meanDynamicTopographyAccuracy->scale: 3 meanDynamicTopographyAccuracy->reference: -131072 meanDynamicTopographyAccuracy->width: 18 seaSurfaceHeightAnomaly->code: '010102' seaSurfaceHeightAnomaly->units: m seaSurfaceHeightAnomaly->scale: 3 seaSurfaceHeightAnomaly->reference: -32768 seaSurfaceHeightAnomaly->width: 16 wavebandCentralFrequency->code: '022080' wavebandCentralFrequency->units: Hz wavebandCentralFrequency->scale: 3 wavebandCentralFrequency->reference: 0 wavebandCentralFrequency->width: 10 band->code: '008076' band->units: CODE TABLE band->scale: 0 band->reference: 0 band->width: 6 specificBandOceanRange->code: '022189' specificBandOceanRange->units: m specificBandOceanRange->scale: 3 specificBandOceanRange->reference: 0 specificBandOceanRange->width: 31 rmsOfSpecificBandOceanRange->code: '022191' rmsOfSpecificBandOceanRange->units: m rmsOfSpecificBandOceanRange->scale: 4 rmsOfSpecificBandOceanRange->reference: 0 rmsOfSpecificBandOceanRange->width: 16 numberOfValidPointsForSpecificBand->code: '022130' numberOfValidPointsForSpecificBand->units: Numeric numberOfValidPointsForSpecificBand->scale: 0 numberOfValidPointsForSpecificBand->reference: 0 numberOfValidPointsForSpecificBand->width: 10 ionosphericCorrectionFromModelOnSpecificBand->code: '025165' ionosphericCorrectionFromModelOnSpecificBand->units: m ionosphericCorrectionFromModelOnSpecificBand->scale: 4 ionosphericCorrectionFromModelOnSpecificBand->reference: -32768 ionosphericCorrectionFromModelOnSpecificBand->width: 16 seaStateBiasCorrectionOnSpecificBand->code: '025166' seaStateBiasCorrectionOnSpecificBand->units: m seaStateBiasCorrectionOnSpecificBand->scale: 4 seaStateBiasCorrectionOnSpecificBand->reference: -32768 seaStateBiasCorrectionOnSpecificBand->width: 16 specificBandNetInstrumentalCorrection->code: '025167' specificBandNetInstrumentalCorrection->units: m specificBandNetInstrumentalCorrection->scale: 4 specificBandNetInstrumentalCorrection->reference: -120000 specificBandNetInstrumentalCorrection->width: 18 specificBandCorrectedOceanBackscatterCoefficient->code: '021183' specificBandCorrectedOceanBackscatterCoefficient->units: dB specificBandCorrectedOceanBackscatterCoefficient->scale: 2 specificBandCorrectedOceanBackscatterCoefficient->reference: -32768 specificBandCorrectedOceanBackscatterCoefficient->width: 16 stdSpecificBandCorrectedOceanBackscatterCoefficient->code: '021184' stdSpecificBandCorrectedOceanBackscatterCoefficient->units: dB stdSpecificBandCorrectedOceanBackscatterCoefficient->scale: 2 stdSpecificBandCorrectedOceanBackscatterCoefficient->reference: -32768 stdSpecificBandCorrectedOceanBackscatterCoefficient->width: 16 numberOfValidPointsForSpecificBandBackscatter->code: '022134' numberOfValidPointsForSpecificBandBackscatter->units: Numeric numberOfValidPointsForSpecificBandBackscatter->scale: 0 numberOfValidPointsForSpecificBandBackscatter->reference: 0 numberOfValidPointsForSpecificBandBackscatter->width: 10 attenuationCorrectionOnSigma0FromTb->code: '021122' attenuationCorrectionOnSigma0FromTb->units: dB attenuationCorrectionOnSigma0FromTb->scale: 2 attenuationCorrectionOnSigma0FromTb->reference: -10000 attenuationCorrectionOnSigma0FromTb->width: 14 specificBandSignificantWaveHeight->code: '022190' specificBandSignificantWaveHeight->units: m specificBandSignificantWaveHeight->scale: 3 specificBandSignificantWaveHeight->reference: 0 specificBandSignificantWaveHeight->width: 16 rmsSpecificBandSignificantWaveHeight->code: '022131' rmsSpecificBandSignificantWaveHeight->units: m rmsSpecificBandSignificantWaveHeight->scale: 3 rmsSpecificBandSignificantWaveHeight->reference: 0 rmsSpecificBandSignificantWaveHeight->width: 16 numberOfValidPointsForSpecificBandSignificantWaveHeight->code: '022132' numberOfValidPointsForSpecificBandSignificantWaveHeight->units: Numeric numberOfValidPointsForSpecificBandSignificantWaveHeight->scale: 0 numberOfValidPointsForSpecificBandSignificantWaveHeight->reference: 0 numberOfValidPointsForSpecificBandSignificantWaveHeight->width: 10 specificBandNetInstrumentCorrectionForSignificantWaveHeight->code: '022133' specificBandNetInstrumentCorrectionForSignificantWaveHeight->units: m specificBandNetInstrumentCorrectionForSignificantWaveHeight->scale: 3 specificBandNetInstrumentCorrectionForSignificantWaveHeight->reference: -1000 specificBandNetInstrumentCorrectionForSignificantWaveHeight->width: 11 specificBandAutomaticGainControl->code: '021186' specificBandAutomaticGainControl->units: dB specificBandAutomaticGainControl->scale: 2 specificBandAutomaticGainControl->reference: 0 specificBandAutomaticGainControl->width: 13 rmsSpecificBandAutomaticGainControl->code: '021187' rmsSpecificBandAutomaticGainControl->units: dB rmsSpecificBandAutomaticGainControl->scale: 2 rmsSpecificBandAutomaticGainControl->reference: 0 rmsSpecificBandAutomaticGainControl->width: 8 numberOfValidPointsForSpecificBandAutomaticGainControl->code: '021188' numberOfValidPointsForSpecificBandAutomaticGainControl->units: Numeric numberOfValidPointsForSpecificBandAutomaticGainControl->scale: 0 numberOfValidPointsForSpecificBandAutomaticGainControl->reference: 0 numberOfValidPointsForSpecificBandAutomaticGainControl->width: 7 specificBandNetInstrumentalCorrectionForAgc->code: '021185' specificBandNetInstrumentalCorrectionForAgc->units: dB specificBandNetInstrumentalCorrectionForAgc->scale: 2 specificBandNetInstrumentalCorrectionForAgc->reference: -2048 specificBandNetInstrumentalCorrectionForAgc->width: 12 bandSpecificAltimeterDataQualityFlag->code: '025112' bandSpecificAltimeterDataQualityFlag->units: FLAG TABLE bandSpecificAltimeterDataQualityFlag->scale: 0 bandSpecificAltimeterDataQualityFlag->reference: 0 bandSpecificAltimeterDataQualityFlag->width: 9 bandSpecificOceanQualityFlag->code: '025200' bandSpecificOceanQualityFlag->units: Flag table bandSpecificOceanQualityFlag->scale: 0 bandSpecificOceanQualityFlag->reference: 0 bandSpecificOceanQualityFlag->width: 9 altimeterIonosphericCorrectionOnKuBand->code: '025163' altimeterIonosphericCorrectionOnKuBand->units: m altimeterIonosphericCorrectionOnKuBand->scale: 3 altimeterIonosphericCorrectionOnKuBand->reference: -32768 altimeterIonosphericCorrectionOnKuBand->width: 16 numberOfObservations->code: '008049' numberOfObservations->units: Numeric numberOfObservations->scale: 0 numberOfObservations->reference: 0 numberOfObservations->width: 8 peakiness->code: '021071' peakiness->units: Numeric peakiness->scale: 0 peakiness->reference: 0 peakiness->width: 16 ocogRange->code: '022146' ocogRange->units: m ocogRange->scale: 3 ocogRange->reference: 0 ocogRange->width: 31 correctedOcogBackscatterCoefficient->code: '021177' correctedOcogBackscatterCoefficient->units: dB correctedOcogBackscatterCoefficient->scale: 2 correctedOcogBackscatterCoefficient->reference: 0 correctedOcogBackscatterCoefficient->width: 16 seaIceFreeboard->code: '025203' seaIceFreeboard->units: m seaIceFreeboard->scale: 3 seaIceFreeboard->reference: -131072 seaIceFreeboard->width: 18 seaIceFraction->code: '022046' seaIceFraction->units: Numeric seaIceFraction->scale: 2 seaIceFraction->reference: 0 seaIceFraction->width: 7 snowDensityLiquidWaterContent->code: '013117' snowDensityLiquidWaterContent->units: kg m-3 snowDensityLiquidWaterContent->scale: 0 snowDensityLiquidWaterContent->reference: 0 snowDensityLiquidWaterContent->width: 10 totalSnowDepth->code: '013013' totalSnowDepth->units: m totalSnowDepth->scale: 2 totalSnowDepth->reference: -2 totalSnowDepth->width: 16 ecmwf-eccodes-python-b43a0f2/tests/sample-data/acars.attributes0000664000175000017500000002651215172126764025100 0ustar alastairalastairmessageNumber: 1 aircraftFlightNumber->code: '001006' aircraftFlightNumber->units: CCITT IA5 aircraftFlightNumber->scale: 0 aircraftFlightNumber->reference: 0 aircraftFlightNumber->width: 64 aircraftFlightNumber->percentConfidence->code: '033007' aircraftFlightNumber->percentConfidence->units: % aircraftFlightNumber->percentConfidence->scale: 0 aircraftFlightNumber->percentConfidence->reference: 0 aircraftFlightNumber->percentConfidence->width: 7 aircraftRegistrationNumberOrOtherIdentification->code: '001008' aircraftRegistrationNumberOrOtherIdentification->units: CCITT IA5 aircraftRegistrationNumberOrOtherIdentification->scale: 0 aircraftRegistrationNumberOrOtherIdentification->reference: 0 aircraftRegistrationNumberOrOtherIdentification->width: 64 aircraftRegistrationNumberOrOtherIdentification->percentConfidence->code: '033007' aircraftRegistrationNumberOrOtherIdentification->percentConfidence->units: % aircraftRegistrationNumberOrOtherIdentification->percentConfidence->scale: 0 aircraftRegistrationNumberOrOtherIdentification->percentConfidence->reference: 0 aircraftRegistrationNumberOrOtherIdentification->percentConfidence->width: 7 aircraftNavigationalSystem->code: '002061' aircraftNavigationalSystem->units: CODE TABLE aircraftNavigationalSystem->scale: 0 aircraftNavigationalSystem->reference: 0 aircraftNavigationalSystem->width: 3 aircraftNavigationalSystem->percentConfidence->code: '033007' aircraftNavigationalSystem->percentConfidence->units: % aircraftNavigationalSystem->percentConfidence->scale: 0 aircraftNavigationalSystem->percentConfidence->reference: 0 aircraftNavigationalSystem->percentConfidence->width: 7 aircraftDataRelaySystemType->code: '002062' aircraftDataRelaySystemType->units: CODE TABLE aircraftDataRelaySystemType->scale: 0 aircraftDataRelaySystemType->reference: 0 aircraftDataRelaySystemType->width: 4 aircraftDataRelaySystemType->percentConfidence->code: '033007' aircraftDataRelaySystemType->percentConfidence->units: % aircraftDataRelaySystemType->percentConfidence->scale: 0 aircraftDataRelaySystemType->percentConfidence->reference: 0 aircraftDataRelaySystemType->percentConfidence->width: 7 instrumentationForWindMeasurement->code: '002002' instrumentationForWindMeasurement->units: FLAG TABLE instrumentationForWindMeasurement->scale: 0 instrumentationForWindMeasurement->reference: 0 instrumentationForWindMeasurement->width: 4 instrumentationForWindMeasurement->percentConfidence->code: '033007' instrumentationForWindMeasurement->percentConfidence->units: % instrumentationForWindMeasurement->percentConfidence->scale: 0 instrumentationForWindMeasurement->percentConfidence->reference: 0 instrumentationForWindMeasurement->percentConfidence->width: 7 temperatureObservationPrecision->code: '002005' temperatureObservationPrecision->units: K temperatureObservationPrecision->scale: 2 temperatureObservationPrecision->reference: 0 temperatureObservationPrecision->width: 7 temperatureObservationPrecision->percentConfidence->code: '033007' temperatureObservationPrecision->percentConfidence->units: % temperatureObservationPrecision->percentConfidence->scale: 0 temperatureObservationPrecision->percentConfidence->reference: 0 temperatureObservationPrecision->percentConfidence->width: 7 originalSpecificationOfLatitudeOrLongitude->code: '002070' originalSpecificationOfLatitudeOrLongitude->units: CODE TABLE originalSpecificationOfLatitudeOrLongitude->scale: 0 originalSpecificationOfLatitudeOrLongitude->reference: 0 originalSpecificationOfLatitudeOrLongitude->width: 4 originalSpecificationOfLatitudeOrLongitude->percentConfidence->code: '033007' originalSpecificationOfLatitudeOrLongitude->percentConfidence->units: % originalSpecificationOfLatitudeOrLongitude->percentConfidence->scale: 0 originalSpecificationOfLatitudeOrLongitude->percentConfidence->reference: 0 originalSpecificationOfLatitudeOrLongitude->percentConfidence->width: 7 aircraftRollAngle->code: '002063' aircraftRollAngle->units: deg aircraftRollAngle->scale: 2 aircraftRollAngle->reference: -18000 aircraftRollAngle->width: 16 aircraftRollAngle->percentConfidence->code: '033007' aircraftRollAngle->percentConfidence->units: % aircraftRollAngle->percentConfidence->scale: 0 aircraftRollAngle->percentConfidence->reference: 0 aircraftRollAngle->percentConfidence->width: 7 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 stationType->percentConfidence->code: '033007' stationType->percentConfidence->units: % stationType->percentConfidence->scale: 0 stationType->percentConfidence->reference: 0 stationType->percentConfidence->width: 7 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 year->percentConfidence->code: '033007' year->percentConfidence->units: % year->percentConfidence->scale: 0 year->percentConfidence->reference: 0 year->percentConfidence->width: 7 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 month->percentConfidence->code: '033007' month->percentConfidence->units: % month->percentConfidence->scale: 0 month->percentConfidence->reference: 0 month->percentConfidence->width: 7 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 day->percentConfidence->code: '033007' day->percentConfidence->units: % day->percentConfidence->scale: 0 day->percentConfidence->reference: 0 day->percentConfidence->width: 7 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 hour->percentConfidence->code: '033007' hour->percentConfidence->units: % hour->percentConfidence->scale: 0 hour->percentConfidence->reference: 0 hour->percentConfidence->width: 7 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 minute->percentConfidence->code: '033007' minute->percentConfidence->units: % minute->percentConfidence->scale: 0 minute->percentConfidence->reference: 0 minute->percentConfidence->width: 7 latitude->code: '005002' latitude->units: deg latitude->scale: 2 latitude->reference: -9000 latitude->width: 15 latitude->percentConfidence->code: '033007' latitude->percentConfidence->units: % latitude->percentConfidence->scale: 0 latitude->percentConfidence->reference: 0 latitude->percentConfidence->width: 7 longitude->code: '006002' longitude->units: deg longitude->scale: 2 longitude->reference: -18000 longitude->width: 16 longitude->percentConfidence->code: '033007' longitude->percentConfidence->units: % longitude->percentConfidence->scale: 0 longitude->percentConfidence->reference: 0 longitude->percentConfidence->width: 7 phaseOfAircraftFlight->code: '008004' phaseOfAircraftFlight->units: CODE TABLE phaseOfAircraftFlight->scale: 0 phaseOfAircraftFlight->reference: 0 phaseOfAircraftFlight->width: 3 phaseOfAircraftFlight->percentConfidence->code: '033007' phaseOfAircraftFlight->percentConfidence->units: % phaseOfAircraftFlight->percentConfidence->scale: 0 phaseOfAircraftFlight->percentConfidence->reference: 0 phaseOfAircraftFlight->percentConfidence->width: 7 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timeSignificance->percentConfidence->code: '033007' timeSignificance->percentConfidence->units: % timeSignificance->percentConfidence->scale: 0 timeSignificance->percentConfidence->reference: 0 timeSignificance->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 degreeOfTurbulence->code: '011031' degreeOfTurbulence->units: CODE TABLE degreeOfTurbulence->scale: 0 degreeOfTurbulence->reference: 0 degreeOfTurbulence->width: 4 degreeOfTurbulence->percentConfidence->code: '033007' degreeOfTurbulence->percentConfidence->units: % degreeOfTurbulence->percentConfidence->scale: 0 degreeOfTurbulence->percentConfidence->reference: 0 degreeOfTurbulence->percentConfidence->width: 7 verticalGustVelocity->code: '011034' verticalGustVelocity->units: m/s verticalGustVelocity->scale: 1 verticalGustVelocity->reference: -1024 verticalGustVelocity->width: 11 verticalGustVelocity->percentConfidence->code: '033007' verticalGustVelocity->percentConfidence->units: % verticalGustVelocity->percentConfidence->scale: 0 verticalGustVelocity->percentConfidence->reference: 0 verticalGustVelocity->percentConfidence->width: 7 verticalGustAcceleration->code: '011035' verticalGustAcceleration->units: m s-2 verticalGustAcceleration->scale: 2 verticalGustAcceleration->reference: -8192 verticalGustAcceleration->width: 14 verticalGustAcceleration->percentConfidence->code: '033007' verticalGustAcceleration->percentConfidence->units: % verticalGustAcceleration->percentConfidence->scale: 0 verticalGustAcceleration->percentConfidence->reference: 0 verticalGustAcceleration->percentConfidence->width: 7 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 airTemperature->percentConfidence->code: '033007' airTemperature->percentConfidence->units: % airTemperature->percentConfidence->scale: 0 airTemperature->percentConfidence->reference: 0 airTemperature->percentConfidence->width: 7 dewpointTemperature->code: '012003' dewpointTemperature->units: K dewpointTemperature->scale: 1 dewpointTemperature->reference: 0 dewpointTemperature->width: 12 dewpointTemperature->percentConfidence->code: '033007' dewpointTemperature->percentConfidence->units: % dewpointTemperature->percentConfidence->scale: 0 dewpointTemperature->percentConfidence->reference: 0 dewpointTemperature->percentConfidence->width: 7 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 relativeHumidity->percentConfidence->code: '033007' relativeHumidity->percentConfidence->units: % relativeHumidity->percentConfidence->scale: 0 relativeHumidity->percentConfidence->reference: 0 relativeHumidity->percentConfidence->width: 7 airframeIcing->code: '020041' airframeIcing->units: CODE TABLE airframeIcing->scale: 0 airframeIcing->reference: 0 airframeIcing->width: 4 airframeIcing->percentConfidence->code: '033007' airframeIcing->percentConfidence->units: % airframeIcing->percentConfidence->scale: 0 airframeIcing->percentConfidence->reference: 0 airframeIcing->percentConfidence->width: 7 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001201' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/sral_sentinel_3a.bufr0000664000175000017500000001221115172126764025773 0ustar alastairalastairBUFR‰b ÿcá7iÀ,`((=¶·µ¸Á Á Á?@B Q RKZ W`( M™ ? 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updateSequenceNumber 0 dataCategory 0 internationalDataSubCategory 0 dataSubCategory 0 masterTablesVersionNumber 14 localTablesVersionNumber 0 typicalYear 2015 typicalMonth 1 typicalDay 26 typicalHour 10 typicalMinute 0 typicalSecond 0 typicalDate 20150126 typicalTime 100000 numberOfSubsets 12 observedData 1 compressedData 0 unexpandedDescriptors [307079 4025 11042] subsetNumber 1 blockNumber 1 stationNumber 27 stationOrSiteName TROMSO-HOLT stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 69.65230000000001 longitude 18.905700000000003 heightOfStationGroundAboveMeanSeaLevel 20.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 276.45 dewpointTemperature 271.39 relativeHumidity 69 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 276.55 minimumTemperatureAtHeightAndOverPeriodSpecified 276.25 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 2 blockNumber 1 stationNumber 84 stationOrSiteName PASVIK stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 69.4552 longitude 30.041000000000004 heightOfStationGroundAboveMeanSeaLevel 27.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 10.0 --] airTemperature 266.55 dewpointTemperature 264.83 relativeHumidity 86 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 266.55 minimumTemperatureAtHeightAndOverPeriodSpecified 265.45 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 3 blockNumber 1 stationNumber 270 stationOrSiteName KVITHAMAR stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 63.488200000000006 longitude 10.8795 heightOfStationGroundAboveMeanSeaLevel 40.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 275.25 dewpointTemperature 273.18 relativeHumidity 86 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 275.65000000000003 minimumTemperatureAtHeightAndOverPeriodSpecified 275.15000000000003 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 4 blockNumber 1 stationNumber 272 stationOrSiteName FROSTA stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 63.56570000000001 longitude 10.694 heightOfStationGroundAboveMeanSeaLevel 70.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- -- -- -- 2.0 2.0 --] airTemperature 276.25 dewpointTemperature 274.26 relativeHumidity 87 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -- -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- --] maximumTemperatureAtHeightAndOverPeriodSpecified 276.25 minimumTemperatureAtHeightAndOverPeriodSpecified 275.85 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 5 blockNumber 1 stationNumber 308 stationOrSiteName FURUNESET stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 61.29280000000001 longitude 5.044300000000001 heightOfStationGroundAboveMeanSeaLevel 7.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 276.85 dewpointTemperature 274.91 relativeHumidity 87 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 2.5] maximumTemperatureAtHeightAndOverPeriodSpecified 278.15000000000003 minimumTemperatureAtHeightAndOverPeriodSpecified 276.35 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 6 blockNumber 1 stationNumber 371 stationOrSiteName LOKEN I VOLBU stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 61.12200000000001 longitude 9.063 heightOfStationGroundAboveMeanSeaLevel 521.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 265.35 dewpointTemperature 264.05 relativeHumidity 89 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 265.85 minimumTemperatureAtHeightAndOverPeriodSpecified 265.35 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 7 blockNumber 1 stationNumber 381 stationOrSiteName APELSVOLL stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 60.7002 longitude 10.8695 heightOfStationGroundAboveMeanSeaLevel 264.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 270.15 dewpointTemperature 269.53000000000003 relativeHumidity 95 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 270.25 minimumTemperatureAtHeightAndOverPeriodSpecified 269.95 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 8 blockNumber 1 stationNumber 382 stationOrSiteName KISE stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 60.773300000000006 longitude 10.8055 heightOfStationGroundAboveMeanSeaLevel 128.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 270.45 dewpointTemperature 269.47 relativeHumidity 92 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 270.45 minimumTemperatureAtHeightAndOverPeriodSpecified 270.15 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 9 blockNumber 1 stationNumber 387 stationOrSiteName FAVANG stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 61.455000000000005 longitude 10.1857 heightOfStationGroundAboveMeanSeaLevel 200.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 -- --] airTemperature 267.55 dewpointTemperature 266.47 relativeHumidity 91 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -- -- --] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 267.85 minimumTemperatureAtHeightAndOverPeriodSpecified 267.45 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection -- windSpeed -- maximumWindGustDirection [-- --] maximumWindGustSpeed [-- --] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind -- subsetNumber 10 blockNumber 1 stationNumber 413 stationOrSiteName SAERHEIM stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 58.76050000000001 longitude 5.6505 heightOfStationGroundAboveMeanSeaLevel 87.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 277.45 dewpointTemperature 275.85 relativeHumidity 89 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -60 -- -60] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 277.75 minimumTemperatureAtHeightAndOverPeriodSpecified 277.15000000000003 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection 274 windSpeed 2.6 maximumWindGustDirection [-- 312] maximumWindGustSpeed [-- 4.4] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind 2.8000000000000003 subsetNumber 11 blockNumber 1 stationNumber 464 stationOrSiteName LANDVIK stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 58.34 longitude 8.5225 heightOfStationGroundAboveMeanSeaLevel 6.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 2.0 --] airTemperature 275.95 dewpointTemperature 275.52 relativeHumidity 97 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- groundMinimumTemperaturePast12Hours -- presentWeather -- timePeriod [-- -- -- -- -1 -1 0 -1 0 -10 -- -60 -- -60] pastWeather1 -- pastWeather2 -- totalSunshine [-- --] totalPrecipitationOrTotalWaterEquivalent [-- 0.0] maximumTemperatureAtHeightAndOverPeriodSpecified 275.95 minimumTemperatureAtHeightAndOverPeriodSpecified 274.95 instrumentationForWindMeasurement 8 timeSignificance [2 --] windDirection 272 windSpeed 0.6000000000000001 maximumWindGustDirection [-- 47] maximumWindGustSpeed [-- 1.7000000000000002] typeOfInstrumentationForEvaporationMeasurement -- evaporation -- maximumWindSpeed10MinuteMeanWind 1.0 subsetNumber 12 blockNumber 1 stationNumber 485 stationOrSiteName SANDE-GALLEBERG stationType 0 year 2015 month 1 day 26 hour 10 minute 0 latitude 59.6193 longitude 10.215000000000002 heightOfStationGroundAboveMeanSeaLevel 60.0 heightOfBarometerAboveMeanSeaLevel -- nonCoordinatePressure -- pressureReducedToMeanSeaLevel -- 3HourPressureChange -- characteristicOfPressureTendency -- 24HourPressureChange -- pressure -- nonCoordinateGeopotentialHeight -- heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform [2.0 -- 2.0 -- 2.0 2.0 10.0 --] airTemperature 275.45 dewpointTemperature 274.90000000000003 relativeHumidity 96 horizontalVisibility -- totalPrecipitationPast24Hours -- cloudCoverTotal -- verticalSignificanceSurfaceObservations [-- --] cloudAmount [--] heightOfBaseOfCloud [--] cloudType [-- -- --] delayedDescriptorReplicationFactor [0 0 0] shortDelayedDescriptorReplicationFactor [0 0 0 0 0 0] stateOfGround -- totalSnowDepth -- 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typicalDate 20170216 typicalTime 081000 rdbType 4 oldSubtype 96 localYear 2017 localMonth 2 localDay 16 localHour 8 localMinute 10 localSecond 0 rdbtimeDay 16 rdbtimeHour 9 rdbtimeMinute 18 rdbtimeSecond 50 rdbtimeTime 091850 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude 34.9 localLongitude 132.07 ident 47755 observedData 1 compressedData 0 unexpandedDescriptors [301032 2003 2101 2106 201132 202130 2121 202000 201000 201133 202129 25001 202000 201000 25020 25021 8021 4025 111000 31001 7007 204001 31021 11001 204000 11002 204001 31021 11006 204000 21030] blockNumber 47 stationNumber 755 stationType -- year 2017 month 2 day 16 hour 9 minute 0 latitude 34.9 longitude 132.07 heightOfStation 20 measuringEquipmentType 6 antennaType -- 3DbBeamwidth -- meanFrequency -- 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w->associatedField->associatedFieldSignificance [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] signalToNoiseRatio [29 38 -- 23 29 29 -- -- -- -- -- -- 17 25 19 -- -- -- -- -- 22 24 25 19] ecmwf-eccodes-python-b43a0f2/tests/sample-data/geos-abi-goes-16.bufr0000664000175000017500000000300615172126764025415 0ustar alastairalastairBUFRb€½ 4½~)5'¼*TŠ(+ð@665Bæ5BæF’ÀÁH  A Ä E˜ A Ä!–¤A» A$!–¥ !A$!–¥ !A$!–¥ !A$!–¥ !A$!˜¥ A$˜ÿ˜¥ A$˜ÿ"C€ âê`ê`ñ @<€(w¾Æ#H*TŠ &eüj'×´f@<ÔH€KY€GUƒq¸¼!÷Ôhh@ÔC$’I$’I$¤’I$’I$“m¶ÛQÝBœ È+àˆ–€ à€8H€ 5<Ø$`ºƒ¢°Tá‡J!˜™ƒ ¦<¡ ›.X~æ{œx²È°%(¨òÎké²|Õ£†Žà>¯ÌTò/ÌI?9õÚÛQ}66ãkÑÀ¿J>L}Öò€Êª;^µ¬,‚AÚ°Š±ôF|¼;NBµ’‡´£¥Žû0,1ŸMå^v”ãïú¡Z¥¬ÉD3MØrŒ~UQê²uË•²ÝŸ¤-t©obK™Ý·Èõ>æÁ•q5‰ã%Ê‚)R¡23æÊ4jµ ’§T*têÕ,T©b¥LTÅû¦Í—6… 8N=@Ç@ÿÿþ: !’I$0@bMCrK4oõ×M3×TpÀô¿ñÍ=“ÿGÿÿÿÿÛ¥ùkµ÷â$€T¸ÿÿÿü `5Wa×Y]¦Ö]–ß’YdŽ)ežYbžHã’\]ßÔa¦Õýÿÿÿÿ1RUd’PH_“ÿþÿøZ+ŸZÓ•)ÂTµïZRµµ)*ÎR”^ö!G~•­hù¿ÿÿÿ‚1ˆe<ÿüÿð-àdTY‡]evšUeÙv)$ŠáŠH¢~H`~Ya#Q0?95VGòÿÿÿÿü‚‡0ô ,À #Öÿøÿà[pÊ.Ó‘Æó¾ËN?%vÙMÕUµU=´Ñ=>êǨx~›-¸·çÿÿÿùf’z‹"z@ 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0 stationOrSiteName->width: 160 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 heightOfStationGroundAboveMeanSeaLevel->code: '007030' heightOfStationGroundAboveMeanSeaLevel->units: m heightOfStationGroundAboveMeanSeaLevel->scale: 1 heightOfStationGroundAboveMeanSeaLevel->reference: -4000 heightOfStationGroundAboveMeanSeaLevel->width: 17 heightOfBarometerAboveMeanSeaLevel->code: '007031' heightOfBarometerAboveMeanSeaLevel->units: m heightOfBarometerAboveMeanSeaLevel->scale: 1 heightOfBarometerAboveMeanSeaLevel->reference: -4000 heightOfBarometerAboveMeanSeaLevel->width: 17 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 3HourPressureChange->code: '010061' 3HourPressureChange->units: Pa 3HourPressureChange->scale: -1 3HourPressureChange->reference: -500 3HourPressureChange->width: 10 characteristicOfPressureTendency->code: '010063' characteristicOfPressureTendency->units: CODE TABLE characteristicOfPressureTendency->scale: 0 characteristicOfPressureTendency->reference: 0 characteristicOfPressureTendency->width: 4 24HourPressureChange->code: '010062' 24HourPressureChange->units: Pa 24HourPressureChange->scale: -1 24HourPressureChange->reference: -1000 24HourPressureChange->width: 11 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 nonCoordinateGeopotentialHeight->code: '010009' nonCoordinateGeopotentialHeight->units: gpm nonCoordinateGeopotentialHeight->scale: 0 nonCoordinateGeopotentialHeight->reference: -1000 nonCoordinateGeopotentialHeight->width: 17 heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform->code: '007032' heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform->units: m heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform->scale: 2 heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform->reference: 0 heightOfSensorAboveLocalGroundOrDeckOfMarinePlatform->width: 16 airTemperature->code: '012101' airTemperature->units: K airTemperature->scale: 2 airTemperature->reference: 0 airTemperature->width: 16 dewpointTemperature->code: '012103' dewpointTemperature->units: K dewpointTemperature->scale: 2 dewpointTemperature->reference: 0 dewpointTemperature->width: 16 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 horizontalVisibility->code: '020001' horizontalVisibility->units: m horizontalVisibility->scale: -1 horizontalVisibility->reference: 0 horizontalVisibility->width: 13 totalPrecipitationPast24Hours->code: '013023' totalPrecipitationPast24Hours->units: kg m-2 totalPrecipitationPast24Hours->scale: 1 totalPrecipitationPast24Hours->reference: -1 totalPrecipitationPast24Hours->width: 14 cloudCoverTotal->code: '020010' cloudCoverTotal->units: % cloudCoverTotal->scale: 0 cloudCoverTotal->reference: 0 cloudCoverTotal->width: 7 verticalSignificanceSurfaceObservations->code: '008002' verticalSignificanceSurfaceObservations->units: CODE TABLE verticalSignificanceSurfaceObservations->scale: 0 verticalSignificanceSurfaceObservations->reference: 0 verticalSignificanceSurfaceObservations->width: 6 cloudAmount->code: '020011' cloudAmount->units: CODE TABLE cloudAmount->scale: 0 cloudAmount->reference: 0 cloudAmount->width: 4 heightOfBaseOfCloud->code: '020013' heightOfBaseOfCloud->units: m heightOfBaseOfCloud->scale: -1 heightOfBaseOfCloud->reference: -40 heightOfBaseOfCloud->width: 11 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 shortDelayedDescriptorReplicationFactor->code: '031000' shortDelayedDescriptorReplicationFactor->units: Numeric shortDelayedDescriptorReplicationFactor->scale: 0 shortDelayedDescriptorReplicationFactor->reference: 0 shortDelayedDescriptorReplicationFactor->width: 1 stateOfGround->code: '020062' stateOfGround->units: CODE TABLE stateOfGround->scale: 0 stateOfGround->reference: 0 stateOfGround->width: 5 totalSnowDepth->code: '013013' totalSnowDepth->units: m totalSnowDepth->scale: 2 totalSnowDepth->reference: -2 totalSnowDepth->width: 16 groundMinimumTemperaturePast12Hours->code: '012113' groundMinimumTemperaturePast12Hours->units: K groundMinimumTemperaturePast12Hours->scale: 2 groundMinimumTemperaturePast12Hours->reference: 0 groundMinimumTemperaturePast12Hours->width: 16 presentWeather->code: '020003' presentWeather->units: CODE TABLE presentWeather->scale: 0 presentWeather->reference: 0 presentWeather->width: 9 timePeriod->code: ['004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004024', '004025', '004025', '004025', '004024', '004025'] timePeriod->units: ['h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'min', 'min', 'min', 'h', 'min'] timePeriod->scale: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] timePeriod->reference: [-2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048, -2048] timePeriod->width: [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12] pastWeather1->code: '020004' pastWeather1->units: CODE TABLE pastWeather1->scale: 0 pastWeather1->reference: 0 pastWeather1->width: 5 pastWeather2->code: '020005' pastWeather2->units: CODE TABLE pastWeather2->scale: 0 pastWeather2->reference: 0 pastWeather2->width: 5 totalSunshine->code: '014031' totalSunshine->units: min totalSunshine->scale: 0 totalSunshine->reference: 0 totalSunshine->width: 11 totalPrecipitationOrTotalWaterEquivalent->code: '013011' totalPrecipitationOrTotalWaterEquivalent->units: kg m-2 totalPrecipitationOrTotalWaterEquivalent->scale: 1 totalPrecipitationOrTotalWaterEquivalent->reference: -1 totalPrecipitationOrTotalWaterEquivalent->width: 14 maximumTemperatureAtHeightAndOverPeriodSpecified->code: '012111' maximumTemperatureAtHeightAndOverPeriodSpecified->units: K maximumTemperatureAtHeightAndOverPeriodSpecified->scale: 2 maximumTemperatureAtHeightAndOverPeriodSpecified->reference: 0 maximumTemperatureAtHeightAndOverPeriodSpecified->width: 16 minimumTemperatureAtHeightAndOverPeriodSpecified->code: '012112' minimumTemperatureAtHeightAndOverPeriodSpecified->units: K minimumTemperatureAtHeightAndOverPeriodSpecified->scale: 2 minimumTemperatureAtHeightAndOverPeriodSpecified->reference: 0 minimumTemperatureAtHeightAndOverPeriodSpecified->width: 16 instrumentationForWindMeasurement->code: '002002' instrumentationForWindMeasurement->units: FLAG TABLE instrumentationForWindMeasurement->scale: 0 instrumentationForWindMeasurement->reference: 0 instrumentationForWindMeasurement->width: 4 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 maximumWindGustDirection->code: '011043' maximumWindGustDirection->units: deg maximumWindGustDirection->scale: 0 maximumWindGustDirection->reference: 0 maximumWindGustDirection->width: 9 maximumWindGustSpeed->code: '011041' maximumWindGustSpeed->units: m/s maximumWindGustSpeed->scale: 1 maximumWindGustSpeed->reference: 0 maximumWindGustSpeed->width: 12 typeOfInstrumentationForEvaporationMeasurement->code: '002004' typeOfInstrumentationForEvaporationMeasurement->units: CODE TABLE typeOfInstrumentationForEvaporationMeasurement->scale: 0 typeOfInstrumentationForEvaporationMeasurement->reference: 0 typeOfInstrumentationForEvaporationMeasurement->width: 4 evaporation->code: '013033' evaporation->units: kg m-2 evaporation->scale: 1 evaporation->reference: 0 evaporation->width: 10 maximumWindSpeed10MinuteMeanWind->code: '011042' maximumWindSpeed10MinuteMeanWind->units: m/s maximumWindSpeed10MinuteMeanWind->scale: 1 maximumWindSpeed10MinuteMeanWind->reference: 0 maximumWindSpeed10MinuteMeanWind->width: 12 ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-noaa-20.items0000664000175000017500000020436315172126764024662 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 87 masterTablesVersionNumber 31 localTablesVersionNumber 0 typicalYearOfCentury 21 typicalMonth 7 typicalDay 8 typicalHour 16 typicalMinute 45 typicalDate 20210708 typicalTime 164500 rdbType 3 oldSubtype 87 localYear 2021 localMonth 7 localDay 8 localHour 16 localMinute 45 localSecond 49 rdbtimeDay 8 rdbtimeHour 20 rdbtimeMinute 16 rdbtimeSecond 48 rdbtimeTime 201648 rectimeDay 8 rectimeHour 20 rectimeMinute 16 rectimeSecond 48 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 90 localLongitude1 -68.24827 localLatitude1 55.48825 localLongitude2 -61.20619 localLatitude2 61.32039 localNumberOfObservations 90 satelliteID 225 observedData 1 compressedData 1 unexpandedDescriptors [310077] centre [[160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160] [ 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7]] subCentre [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] softwareVersionNumber [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure [[40760.0 39270.0 40000.0 35350.0 82080.0 39880.0 41400.0 42010.0 41840.0 40570.0 40890.0 34730.0 35260.0 38560.0 38020.0 38940.0 39960.0 87430.0 88540.0 40880.0 42050.0 41140.0 40780.0 36700.0 35070.0 38410.0 39660.0 40250.0 40240.0 40320.0 39850.0 38660.0 40190.0 38240.0 37810.0 38200.0 37810.0 41910.0 41920.0 36120.0 42170.0 40150.0 39060.0 33870.0 34510.0 35440.0 37260.0 43800.0 38400.0 35630.0 39080.0 37560.0 35680.0 35550.0 36880.0 41160.0 40480.0 38400.0 35760.0 36390.0 38730.0 39300.0 35440.0 71670.0 33000.0 33530.0 35990.0 34870.0 35280.0 55920.0 55270.0 55840.0 56970.0 56400.0 39880.0 33620.0 60020.0 56670.0 56330.0 60160.0 60420.0 60010.0 57580.0 57350.0 57850.0 60290.0 60290.0 61630.0 37080.0 76410.0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [31100.0 32730.0 31430.0 -- -- -- -- -- -- 26190.0 28310.0 -- -- -- -- 34190.0 31410.0 -- -- -- -- -- -- 30800.0 -- -- 33430.0 -- 31860.0 -- 32170.0 -- -- -- -- 28980.0 28160.0 30720.0 -- -- -- -- -- -- -- 26500.0 -- -- -- -- -- 34730.0 25200.0 25090.0 -- -- -- -- -- -- -- 26520.0 -- 30300.0 -- -- -- -- -- -- -- -- -- 80570.0 -- -- -- -- -- -- -- -- -- -- -- 94990.0 -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection [282 279 281 260 262 265 279 286 286 280 274 260 253 267 263 275 282 247 242 279 275 278 269 266 257 274 270 266 278 291 277 283 280 277 267 263 268 264 268 269 284 280 283 282 282 275 291 289 267 279 276 276 259 266 282 292 280 290 289 279 284 273 284 285 281 301 276 313 304 283 288 286 297 287 289 299 282 281 290 315 301 315 309 287 294 297 314 300 324 307] windSpeed [17.7 17.7 17.7 15.7 11.7 11.9 17.5 19.3 19.2 18. 18.6 18.1 18.1 14.3 19.8 17.2 17.7 11.3 11.2 15.3 13.1 11.1 12.6 19.4 15.1 18.2 18.5 14.5 18.6 20.3 17.2 15.1 15.1 18. 14. 20.6 19.6 18.1 16.2 14. 13.1 12.8 16.1 16.7 15.6 19. 15.5 14.4 14.3 17.7 12.2 17.9 17.1 16.1 14.7 13.7 13. 15.8 14.9 12.6 13.7 17.5 15.5 18.2 14.1 13.9 13.7 11.6 14.8 14.7 11.8 11.2 10.8 8.2 12.3 13.7 13.9 14.4 11.8 9.8 12.8 9.8 12.6 14. 10.2 9.1 9.5 13.1 9. 9.9] u [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [21.1 12.700000000000001 13.100000000000001 12.5 9.600000000000001 9.9 16.7 18.5 18.5 19.700000000000003 21.700000000000003 22.200000000000003 17.0 11.700000000000001 18.400000000000002 13.100000000000001 13.200000000000001 8.4 7.300000000000001 13.5 13.3 12.3 14.4 16.2 16.3 14.700000000000001 15.700000000000001 11.4 14.3 18.8 16.8 17.6 12.8 15.9 18.2 18.2 16.2 13.8 11.3 11.600000000000001 12.8 13.600000000000001 19.6 14.100000000000001 14.5 16.8 10.700000000000001 10.700000000000001 11.3 17.6 11.200000000000001 17.1 18.1 15.700000000000001 15.5 12.700000000000001 14.0 11.0 17.400000000000002 12.8 11.200000000000001 17.2 19.900000000000002 20.1 16.7 13.200000000000001 16.0 8.700000000000001 12.5 13.100000000000001 9.1 8.4 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] v [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-5.4 -3.3000000000000003 -3.3000000000000003 4.1000000000000005 -1.0 0.5 -5.800000000000001 -6.1000000000000005 -5.7 -3.6 1.2000000000000002 3.4000000000000004 5.2 -3.1 0.2 -4.0 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-- -- -- -- -- -- -- -- -- -- -- -- --] [-2.3000000000000003 -2.4000000000000004 -3.7 1.4000000000000001 4.4 1.5 0.2 -4.6000000000000005 -4.6000000000000005 -2.3000000000000003 -3.5 2.9000000000000004 5.300000000000001 4.6000000000000005 4.7 1.3 -3.7 8.0 7.7 -4.7 -1.2000000000000002 -2.2 -0.6000000000000001 1.6 2.1 -2.8000000000000003 -3.8000000000000003 6.0 -4.1000000000000005 -7.2 1.2000000000000002 -2.0 -4.4 -7.0 -2.2 0.1 2.1 0.7000000000000001 2.1 4.3 -4.3 1.6 -5.9 -6.1000000000000005 -5.1000000000000005 -4.3 -8.4 -7.6000000000000005 0.4 0.4 -1.0 1.2000000000000002 3.8000000000000003 4.4 -4.0 -4.3 1.5 -8.6 -2.2 -6.0 -8.0 2.1 -6.9 -3.1 -6.300000000000001 -6.1000000000000005 -5.2 -8.700000000000001 -7.5 -3.5 -3.2 -6.300000000000001 -9.4 -5.2 -1.6 -4.2 -2.1 -2.7 -3.1 -8.9 -7.4 -6.7 -8.5 -2.2 -3.9000000000000004 -5.7 -8.200000000000001 -6.300000000000001 -6.300000000000001 -10.600000000000001] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [0.9 0.5 0.8 -1.4000000000000001 3.6 1.1 0.4 0.9 0.9 0.4 -0.2 0.5 -0.1 -0.5 -0.4 0.30000000000000004 0.8 2.2 2.2 -0.4 -0.6000000000000001 0.2 -0.6000000000000001 0.2 0.7000000000000001 -1.0 -2.3000000000000003 -0.1 -1.0 -1.9000000000000001 -1.5 -0.4 -0.30000000000000004 -0.4 -0.4 -0.4 -0.4 -1.8 -1.8 -2.2 -1.5 -1.5 -0.8 -2.1 -2.5 -1.3 -2.1 -2.6 -2.7 -0.7000000000000001 -1.9000000000000001 -2.1 -1.5 -2.2 -2.2 -1.5 -1.9000000000000001 -3.0 -2.3000000000000003 -2.3000000000000003 -2.7 -2.9000000000000004 -3.4000000000000004 -5.2 -3.5 -3.5 -3.0 -4.7 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269.90000000000003 270.2 242.60000000000002 243.9 242.60000000000002 242.0 235.8 232.9 238.0 239.70000000000002 240.4 240.20000000000002 240.10000000000002 239.10000000000002 237.20000000000002 241.70000000000002 238.70000000000002 237.9 238.20000000000002 237.60000000000002 243.20000000000002 242.8 234.20000000000002 242.5 239.70000000000002 237.70000000000002 231.9 233.0 234.4 237.20000000000002 246.0 238.4 234.10000000000002 239.4 236.9 233.8 233.20000000000002 235.20000000000002 241.0 240.20000000000002 239.10000000000002 235.0 235.70000000000002 239.20000000000002 239.8 234.70000000000002 278.2 230.0 230.8 234.9 233.9 234.60000000000002 258.8 258.2 258.6 259.5 259.0 241.10000000000002 231.0 261.90000000000003 259.40000000000003 259.1 262.0 262.1 261.8 260.3 260.1 260.40000000000003 262.1 262.1 262.8 237.3 270.40000000000003] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] heightOfTopOfCloud [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteZenithAngle [[78.52 77.51 77.37 77.34 77.06 76.62 79.67 79.46000000000001 79.45 78.83 78.60000000000001 78.32000000000001 77.83 77.7 77.3 77.38 77.34 76.93 76.76 79.03 78.74 78.66 78.38 78.31 78.21000000000001 77.55 77.22 77.33 77.10000000000001 76.55 76.03 75.92 78.99 78.62 78.39 78.33 78.15 77.24 77.03 76.21000000000001 75.71000000000001 75.63 75.32000000000001 78.72 78.56 78.52 78.03 77.78 77.21000000000001 77.2 76.98 76.72 76.44 76.06 75.84 75.65 75.4 77.87 77.8 77.15 77.10000000000001 76.54 77.54 77.0 76.35000000000001 76.32000000000001 76.22 78.33 78.26 77.51 77.29 76.88 76.64 76.48 76.12 76.02 77.7 77.39 77.09 76.71000000000001 76.59 76.34 77.45 77.29 77.0 76.75 76.67 76.38 76.95 77.01] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] observationSequenceNumber [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] delayedDescriptorReplicationFactor [1 3 2 1 1 1 1 2] satelliteClassification [[3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3]] satelliteInstruments [[616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616] [616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616] [616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616 616]] channelNumber [[15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15] [15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15] [15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15]] orbitNumber [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] bearingOrAzimuth [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] trackingCorrelationOfVector [[0.0 0.0 0.0 0.0 0.6910000000000001 0.27 0.0 0.148 0.126 0.628 0.626 0.684 0.0 0.278 0.0 0.0 0.0 0.309 0.07100000000000001 0.0 0.332 0.383 0.101 0.457 0.0 0.651 0.057 0.0 0.123 0.0 0.005 0.297 0.0 0.0 0.091 0.529 0.619 0.20700000000000002 0.535 0.0 0.186 0.014 0.362 0.0 0.0 0.0 0.468 0.279 0.561 0.271 0.446 0.14200000000000002 0.23800000000000002 0.016 0.225 0.0 0.016 0.228 0.389 0.0 0.365 0.402 0.0 0.11800000000000001 0.299 0.334 0.376 0.0 0.0 0.71 0.553 0.123 0.098 0.07100000000000001 0.163 0.51 0.0 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] xAxisErrorEllipseMajorComponent [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] yAxisErrorEllipseMinorComponent [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] angleOfXAxisInErrorEllipse [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] timeSignificance [[27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27] [4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] verticalSignificanceForNwp [[4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] standardGeneratingApplication [[4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4] [5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5] [6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6] [7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7]] percentConfidence [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [66 62 65 63 15 58 74 99 100 86 61 63 97 50 80 51 66 48 61 73 98 80 79 74 73 68 54 46 64 86 71 68 72 53 45 74 71 61 56 46 94 58 52 64 82 70 59 41 70 71 95 73 90 66 90 95 56 56 59 62 44 73 43 35 52 87 53 78 81 93 75 49 44 36 49 66 97 94 70 71 59 78 41 63 94 72 75 67 46 16] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [55 56 53 51 53 58 66 55 55 55 57 51 54 64 59 62 53 64 57 66 71 63 66 54 53 59 59 65 59 51 64 55 63 62 62 50 52 53 59 53 68 62 58 58 60 59 54 61 55 60 64 63 53 55 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] amvQualityFlag [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] cloudAmountInSegment [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] cloudType [48 48 48 45 45 48 48 48 48 48 48 48 48 48 48 48 48 45 45 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 48 44 48 48 48 48 48 46 46 46 46 46 45 48 46 46 46 46 46 46 46 46 46 46 46 46 48 44] cloudPhase [2 2 2 5 5 2 2 2 2 2 2 2 2 2 2 2 2 5 5 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 3 3 3 3 3 5 2 3 3 3 3 3 3 3 3 3 3 3 3 2 1] pressureAtTopOfCloud [[42250.0 86660.0 86660.0 92450.0 98570.0 83000.0 59190.0 78280.0 78280.0 46380.0 46960.0 45680.0 44850.0 45090.0 41300.0 86660.0 86660.0 96580.0 94810.0 70170.0 81820.0 57410.0 45780.0 42990.0 45160.0 56790.0 45630.0 45560.0 43020.0 42600.0 40350.0 40180.0 70170.0 90760.0 45360.0 45780.0 44910.0 81400.0 70260.0 77840.0 43570.0 43340.0 39660.0 36940.0 39520.0 70420.0 80780.0 90540.0 76380.0 45230.0 48560.0 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] verticalSignificanceSatelliteObservations [[2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] optimalEstimationCost [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] cloudOpticalThickness [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] iceOrLiquidWaterPath [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] cloudParticleSize [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] meteorologicalFeature [[12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] emissivity [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-meteosat-9.items0000664000175000017500000022476515172126764025524 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 87 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 7 typicalMonth 4 typicalDay 1 typicalHour 2 typicalMinute 30 typicalDate 20070401 typicalTime 023000 rdbType 3 oldSubtype 87 localYear 2007 localMonth 4 localDay 1 localHour 2 localMinute 30 localSecond 0 rdbtimeDay 8 rdbtimeHour 2 rdbtimeMinute 33 rdbtimeSecond 45 rdbtimeTime 023345 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 128 localLongitude1 -54.16368 localLatitude1 -23.35105 localLongitude2 -0.04413 localLatitude2 23.36464 localNumberOfObservations 128 satelliteID 56 observedData 1 compressedData 1 unexpandedDescriptors [310195 222000 236000 101103 31031 1031 1032 101004 33007 222000 237000 1031 1032 101004 33252 222000 237000 1031 1032 101004 33253 222000 237000 1031 1032 101004 33007 222000 237000 1031 1032 101004 33252 222000 237000 1031 1032 101004 33253 222000 237000 1031 1032 101004 33007 222000 237000 1031 1032 101004 33252 222000 237000 1031 1032 101004 33253] satelliteIdentifier [56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56 56] centre [[254 254 254 ... 254 254 254] [254 254 254 ... 254 254 254] [254 254 254 ... 254 254 254] ... [254 254 254 ... 254 254 254] [254 254 254 ... 254 254 254] [254 254 254 ... 254 254 254]] satelliteClassification [333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333 333] segmentSizeAtNadirInXDirection [72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000] segmentSizeAtNadirInYDirection [72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000 72000] year [[2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] month [[4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] day [[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] hour [[2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] minute [[30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30] [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 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satelliteDerivedWindComputationMethod [5 3 3 5 3 3 3 3 3 3 3 3 3 5 5 5 5 5 3 3 3 3 3 3 3 3 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 3 3 3 3 3 3 3 3 3 3 3 5 5 5 3 3 3 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 5 3 3 5 3 3 3 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3] pressure [[30660.0 46490.0 40770.0 ... 52200.0 48460.0 52190.0] [26420.0 64020.0 61020.0 ... 42320.0 -- --] [43060.0 18030.0 23660.0 ... 70540.0 -- --] ... [-- 56590.0 50870.0 ... -- 58560.0 62290.0] [-- 18380.0 23850.0 ... -- -- --] [-- -- -- ... -- -- --]] pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->percentConfidence->percentConfidence->percentConfidence [[0 0 0 ... 0 0 0] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->percentConfidence->percentConfidence [[49 98 98 ... 84 89 92] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->nominalConfidenceThreshold [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->manualAutomaticQualityControl [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] pressure->percentConfidence [[45 80 82 ... 79 72 74] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] windDirection [[290 279 279 279 274 273 271 263 257 258 259 258 257 262 260 317 313 306 245 230 263 226 226 228 232 237 237 240 250 242 266 272 36 283 302 305 305 301 303 301 302 296 320 298 289 301 315 308 288 282 311 308 307 310 297 302 297 312 300 326 296 280 283 266 306 221 226 199 222 229 229 221 233 253 266 306 309 314 314 308 64 74 93 99 95 105 325 307 94 70 330 345 334 308 303 300 267 255 307 319] [296 278 -- 280 273 273 272 260 255 258 261 258 256 286 265 316 312 303 246 230 263 227 227 227 235 238 236 240 238 241 270 282 18 297 308 306 306 299 304 304 304 297 301 305 289 304 325 358 286 278 310 303 310 311 286 288 308 312 298 330 277 273 285 265 305 221 224 212 221 227 229 222 -- 265 258 316 316 317 315 307 64 83 92 103 98 88 3 352 95 86 349 354 326 302 297 290 264 265 302 317] [288 278 279 277 274 273 271 264 -- 257 258 258 257 263 263 316 313 310 244 230 264 226 227 229 230 237 237 240 248 244 257 265 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windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->percentConfidence->percentConfidence->percentConfidence [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->percentConfidence->percentConfidence [[49 98 98 76 99 99 99 98 49 99 98 99 99 32 34 76 96 92 98 97 99 99 98 93 96 99 99 98 33 49 54 31 55 35 45 91 90 62 65 95 95 99 43 72 39 83 34 42 96 45 88 96 94 85 78 51 49 53 81 33 59 41 95 99 98 99 87 37 99 97 98 88 94 63 53 58 34 87 88 80 54 37 95 96 92 70 36 43 63 69 76 91 94 79 89 81 92 84 89 92] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windDirection->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed [[32.7 41.7 41.900000000000006 39.900000000000006 44.5 43.5 44.400000000000006 45.800000000000004 44.400000000000006 46.900000000000006 53.0 55.2 55.800000000000004 11.5 30.700000000000003 35.5 38.6 39.300000000000004 27.700000000000003 30.3 45.1 32.2 35.9 34.2 28.900000000000002 27.5 27.400000000000002 26.5 16.5 24.3 18.5 14.5 6.1000000000000005 6.6000000000000005 12.4 20.900000000000002 19.900000000000002 15.3 16.0 14.200000000000001 15.5 17.1 13.0 14.700000000000001 15.0 34.4 15.700000000000001 23.900000000000002 45.2 42.6 24.5 20.400000000000002 17.7 18.0 17.5 13.700000000000001 14.100000000000001 10.700000000000001 38.0 15.0 11.3 35.9 46.300000000000004 47.7 40.5 39.400000000000006 30.200000000000003 10.100000000000001 40.300000000000004 29.700000000000003 32.5 32.6 28.900000000000002 10.9 14.600000000000001 14.9 12.100000000000001 25.1 27.0 24.900000000000002 5.800000000000001 8.3 5.7 5.9 5.5 5.7 3.6 2.1 2.6 3.8000000000000003 4.2 4.4 4.7 3.7 5.2 6.300000000000001 4.5 2.4000000000000004 4.7 4.9] [29.900000000000002 41.400000000000006 -- 41.7 44.1 43.300000000000004 45.2 45.2 40.400000000000006 46.900000000000006 52.6 55.6 55.900000000000006 1.7000000000000002 22.700000000000003 39.900000000000006 38.800000000000004 39.2 28.1 29.5 45.0 32.4 34.6 30.0 27.400000000000002 27.8 27.0 27.200000000000003 20.200000000000003 24.5 17.7 5.2 7.5 8.8 19.5 20.0 20.1 14.9 19.6 14.600000000000001 15.700000000000001 18.0 14.0 11.4 13.3 34.5 20.0 15.5 47.0 41.7 22.1 20.6 16.2 15.200000000000001 18.2 10.0 8.8 6.7 38.300000000000004 12.700000000000001 8.4 33.1 47.6 48.7 40.7 39.400000000000006 32.300000000000004 8.700000000000001 40.1 29.700000000000003 30.6 30.3 -- 11.700000000000001 15.5 29.3 23.3 23.6 23.5 24.1 7.800000000000001 11.600000000000001 5.7 5.4 5.300000000000001 5.9 4.0 3.0 2.2 3.0 3.5 3.7 4.5 3.1 5.4 4.9 4.5 1.7000000000000002 5.0 5.2] [31.8 41.300000000000004 40.7 38.900000000000006 44.6 43.5 44.2 46.5 -- 46.0 54.900000000000006 55.1 55.7 15.4 28.200000000000003 35.9 38.400000000000006 39.5 28.1 30.900000000000002 45.1 32.1 36.300000000000004 34.5 29.8 27.900000000000002 27.3 25.8 18.6 26.400000000000002 20.1 27.0 5.6000000000000005 5.9 14.3 20.200000000000003 20.0 11.600000000000001 12.700000000000001 14.0 15.600000000000001 16.8 11.4 13.4 13.700000000000001 33.0 16.5 23.3 45.5 44.7 23.200000000000003 20.700000000000003 17.2 17.400000000000002 16.3 16.8 16.3 6.800000000000001 37.6 21.6 10.9 34.1 44.900000000000006 47.900000000000006 40.2 39.2 28.1 11.5 40.2 29.700000000000003 33.300000000000004 34.9 28.3 11.4 18.2 7.300000000000001 8.9 23.0 28.900000000000002 25.0 6.1000000000000005 8.5 5.2 5.9 6.0 6.1000000000000005 4.4 0.6000000000000001 2.0 4.7 4.5 4.6000000000000005 4.7 2.8000000000000003 5.300000000000001 6.4 4.4 2.4000000000000004 4.3 4.5] [36.6 42.5 43.1 39.0 44.900000000000006 43.6 43.7 45.7 48.300000000000004 47.800000000000004 51.400000000000006 54.900000000000006 -- 17.6 41.400000000000006 30.700000000000003 -- -- 26.900000000000002 30.6 45.1 32.1 36.9 38.1 29.6 26.900000000000002 28.0 -- 10.8 21.900000000000002 17.8 11.200000000000001 5.0 5.2 3.4000000000000004 22.5 19.700000000000003 19.400000000000002 15.8 13.9 15.200000000000001 16.5 13.5 19.200000000000003 18.0 35.6 10.8 32.9 43.2 41.300000000000004 28.1 20.0 19.700000000000003 21.3 18.0 14.4 17.1 18.5 38.300000000000004 10.700000000000001 14.600000000000001 40.5 -- 46.6 -- 39.7 -- -- 40.6 -- 33.7 -- 29.400000000000002 9.8 10.100000000000001 8.0 4.1000000000000005 28.8 28.5 25.5 3.6 4.800000000000001 6.4 6.300000000000001 5.300000000000001 5.1000000000000005 2.4000000000000004 2.7 3.5 3.7 4.6000000000000005 4.800000000000001 4.9 5.2 4.9 7.4 4.5 3.2 -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence->percentConfidence->percentConfidence [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->manualAutomaticQualityControl [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence [[45 80 82 69 79 79 85 98 57 98 91 95 84 33 32 61 78 74 84 83 99 89 90 93 95 99 97 97 33 50 56 32 44 29 43 91 92 62 66 88 93 97 45 78 40 68 40 40 77 36 86 95 94 88 81 59 58 54 66 31 55 37 76 97 80 92 85 29 92 96 97 88 93 52 47 62 38 80 81 78 45 30 83 83 80 60 29 35 51 56 69 78 82 66 76 78 80 79 72 74] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteChannelCentreFrequency [4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.79668e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13 4.07881e+13] satelliteChannelBandWidth [1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 1.665514e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14 2.997925e+14] coldestClusterTemperature [241.7 261.3 254.8 241.3 284.7 281.8 247.2 221.3 214.7 214.1 238.9 233.8 245.6 257.5 255.8 246.9 246. 245.7 228.5 225.7 223.5 230.5 229.5 240. 253.9 248.6 247.3 252.4 252.1 253.3 256.3 258. 259.7 260.7 260.2 258.7 256.2 252.9 250.6 249.2 248.6 248.5 248.2 247.2 246.2 245.2 245.3 242. 269.5 280.7 231. 238.6 251.5 233.9 240.5 223.6 216.8 218.4 282.5 263.3 273.8 245.8 245. 245. 225.1 252.8 255.3 239.8 244.6 247.5 250.1 250.9 254.9 256.7 261.5 261.1 260.8 258.8 255.3 251.3 248.3 247. 246.4 246. 245.4 244.9 244.9 244.2 242.2 240.3 267.4 231. 244.3 229.1 243. 258.1 227.9 241.9 236.9 253.6 249.8 248.2 249. 260.6 261. 260.7 257.4 246.1 282.4 282.6 282.9 282.9 282.3 281.4 281.2 279.7 278.4 277.6 277.2 276.6 274.6 271.2 268.4 264.8 264.8 266.8 263.3 267.1] coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->percentConfidence->percentConfidence [49 98 98 76 99 99 99 98 49 99 98 99 99 32 34 76 96 92 98 97 99 99 98 93 96 99 99 98 33 49 54 31 55 35 45 91 90 62 65 95 95 99 43 72 39 83 34 42 96 45 99 98 99 98 97 68 97 58 49 83 49 89 94 61 97 98 93 99 99 36 58 63 44 57 41 69 58 88 88 96 94 85 78 51 49 53 81 33 59 41 95 99 98 99 87 37 99 97 98 88 94 63 53 58 34 87 88 80 54 37 95 96 92 70 36 43 63 69 76 91 94 79 89 81 92 84 89 92] coldestClusterTemperature->nominalConfidenceThreshold [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->manualAutomaticQualityControl [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] coldestClusterTemperature->percentConfidence [45 80 82 69 79 79 85 98 57 98 91 95 84 33 32 61 78 74 84 83 99 89 90 93 95 99 97 97 33 50 56 32 44 29 43 91 92 62 66 88 93 97 45 78 40 68 40 40 77 36 93 87 82 93 88 68 97 50 40 68 40 71 76 50 83 96 94 96 96 29 47 51 46 45 35 71 64 85 86 95 94 88 81 59 58 54 66 31 55 37 76 97 80 92 85 29 92 96 97 88 93 52 47 62 38 80 81 78 45 30 83 83 80 60 29 35 51 56 69 78 82 66 76 78 80 79 72 74] heightAssignmentMethod [[10 2 2 ... 10 2 2] [2 2 2 ... 2 2 2] [9 3 3 ... 9 3 3] ... [-- 2 2 ... -- 2 2] [-- 4 4 ... -- 4 4] [-- -- -- ... -- -- --]] tracerCorrelationMethod [0 2 2 0 2 2 2 2 2 2 2 2 2 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 2 2 0 0 0 2 2 2 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 2 2 0 2 2 2 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2] landOrSeaQualifier [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] satelliteZenithAngle [44.67 45.72 46.15 47.33 48.44 48.86 50.34 52.73 54.08 54.52 56.61 57.1 58.63 62.25 64.66 36.91 38.16 38.85 24.76 24.96 51.74 25.53 25.26 25.68 26.01 25.76 25.99 26.09 27.15 27.56 28.51 28.82 29.47 30.19 30.72 31.13 31.66 32.27 32.79 33.37 33.99 34.52 35.22 35.8 36.52 40.27 41.14 43.93 45.11 46.02 47.24 48.15 48.36 49.33 50.75 51.96 52.96 53.76 55.95 56.58 57.52 37.47 38.81 39.5 25.73 26.18 26.32 26.69 26.84 27.26 27.78 28.24 29.34 29.94 30.91 31.35 31.94 32.33 32.83 33.36 34. 34.64 35.21 35.88 36.52 37.26 40.79 42.65 43.9 45.3 45.55 50.74 40.08 26.56 27.09 30.42 26.8 26.77 26.97 26.9 27.49 28.11 28.51 31.7 32.13 33.05 33.55 35.07 27.19 27.06 27.54 27.73 27.89 28.15 28.43 28.69 28.89 29.22 31.19 31.58 32. 32.46 32.89 34.75 35.58 36.17 36.85 37.26] originOfFirstGuessInformationForGoesIOrMSoundings [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] timeSignificance [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] timePeriod [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] airTemperature [[233.8 276.90000000000003 274.2 232.5 275.2 275.3 265.40000000000003 236.4 221.4 225.10000000000002 270.40000000000003 269.3 277.7 244.60000000000002 243.70000000000002 239.70000000000002 239.4 238.8 230.10000000000002 227.60000000000002 235.10000000000002 234.0 233.4 255.9 265.0 255.5 255.4 255.5 245.20000000000002 246.10000000000002 247.70000000000002 249.20000000000002 250.4 250.20000000000002 248.0 245.0 243.3 242.70000000000002 243.60000000000002 244.10000000000002 243.10000000000002 241.10000000000002 240.4 239.9 239.10000000000002 238.9 237.9 235.10000000000002 272.3 275.5 242.10000000000002 242.10000000000002 243.20000000000002 240.60000000000002 239.8 239.10000000000002 238.5 238.10000000000002 238.8 237.20000000000002 235.5 232.4 271.40000000000003 247.60000000000002 238.9 234.5 245.5 250.60000000000002 232.20000000000002 244.20000000000002 241.60000000000002 255.4 253.10000000000002 241.70000000000002 242.60000000000002 252.4 251.9 245.10000000000002 241.70000000000002 240.20000000000002 269.7 269.90000000000003 269.7 270.40000000000003 271.0 270.3 269.2 268.2 267.8 267.5 265.7 264.1 263.40000000000003 261.7 259.0 256.6 256.3 256.5 -- --] [257.7 213.20000000000002 227.8 255.3 -- -- 230.9 226.8 -- 217.70000000000002 225.20000000000002 -- -- 275.5 273.0 271.6 268.2 265.1 -- 230.5 226.9 234.9 -- -- 243.20000000000002 246.3 245.10000000000002 -- 267.1 268.90000000000003 270.2 270.6 271.6 273.0 273.5 273.6 273.8 273.2 272.7 272.6 271.90000000000003 271.7 272.2 272.2 271.40000000000003 260.8 259.2 257.3 230.10000000000002 -- 274.0 273.5 272.40000000000003 271.1 270.6 269.6 269.2 267.90000000000003 259.40000000000003 258.2 257.0 255.60000000000002 -- 232.4 259.8 -- -- 270.40000000000003 231.60000000000002 239.9 240.8 245.5 240.60000000000002 265.8 267.1 273.2 273.6 274.1 274.1 271.2 287.0 287.1 286.40000000000003 286.40000000000003 286.2 286.2 286.3 289.2 293.0 291.7 287.5 286.7 287.0 286.90000000000003 286.40000000000003 278.6 279.40000000000003 280.40000000000003 -- --] [241.70000000000002 -- 252.5 241.3 -- -- 242.8 235.20000000000002 -- 225.4 240.5 -- -- 257.5 255.8 246.9 246.0 245.70000000000002 -- 232.9 239.10000000000002 238.8 252.4 250.10000000000002 242.3 244.10000000000002 245.3 -- 252.10000000000002 253.3 256.3 258.0 259.7 260.7 260.2 258.7 256.2 252.9 250.60000000000002 249.20000000000002 248.60000000000002 248.5 248.20000000000002 247.20000000000002 246.20000000000002 245.20000000000002 245.3 242.0 255.9 -- 255.3 251.3 248.3 247.0 246.4 246.0 245.4 244.9 244.9 244.20000000000002 242.20000000000002 240.3 -- 250.0 244.3 -- -- 258.1 230.8 237.20000000000002 240.4 244.3 -- 248.20000000000002 249.0 260.6 261.0 260.7 257.40000000000003 246.10000000000002 282.40000000000003 282.6 282.90000000000003 282.90000000000003 282.3 281.40000000000003 281.2 279.7 278.40000000000003 277.6 277.2 276.6 274.6 271.2 268.40000000000003 264.8 264.8 266.8 -- --] [216.5 221.9 229.0 216.20000000000002 234.60000000000002 239.10000000000002 234.20000000000002 223.8 215.3 214.20000000000002 221.8 217.3 -- 224.0 223.3 222.70000000000002 221.60000000000002 220.60000000000002 228.20000000000002 225.8 225.0 229.4 228.3 233.5 241.60000000000002 244.60000000000002 244.3 -- 231.60000000000002 232.10000000000002 233.9 233.60000000000002 232.20000000000002 229.70000000000002 227.60000000000002 226.0 224.10000000000002 223.20000000000002 222.8 223.0 223.10000000000002 223.10000000000002 223.20000000000002 223.3 223.0 219.60000000000002 219.60000000000002 217.3 222.70000000000002 228.9 223.20000000000002 222.5 222.10000000000002 222.3 222.5 222.70000000000002 222.5 222.5 219.3 218.60000000000002 217.70000000000002 217.0 226.20000000000002 228.5 219.70000000000002 228.10000000000002 239.3 233.0 226.8 238.3 238.4 -- 240.70000000000002 227.5 227.9 231.10000000000002 229.20000000000002 224.4 223.20000000000002 221.4 258.0 257.90000000000003 256.5 256.2 255.8 255.3 255.20000000000002 254.60000000000002 254.10000000000002 253.70000000000002 248.20000000000002 246.5 245.60000000000002 245.5 246.10000000000002 242.3 242.0 244.8 -- --] [245.10000000000002 -- 249.10000000000002 245.70000000000002 248.70000000000002 250.70000000000002 245.4 230.8 222.4 218.10000000000002 238.3 234.8 -- 260.5 260.0 249.70000000000002 250.60000000000002 251.8 231.20000000000002 223.9 232.8 232.5 231.20000000000002 237.8 238.3 242.0 244.20000000000002 246.10000000000002 255.9 256.5 258.3 259.3 264.90000000000003 268.5 269.7 270.5 263.40000000000003 258.2 257.1 256.5 256.0 256.6 256.7 250.8 248.70000000000002 254.0 256.40000000000003 249.3 -- 251.8 267.3 257.2 254.5 253.0 252.60000000000002 251.60000000000002 249.20000000000002 248.20000000000002 253.3 255.8 254.9 244.20000000000002 245.5 235.3 250.3 230.0 237.60000000000002 259.6 225.3 235.9 238.0 242.70000000000002 235.3 252.8 253.10000000000002 266.90000000000003 267.90000000000003 270.7 271.5 250.60000000000002 289.90000000000003 290.0 288.90000000000003 288.90000000000003 289.2 289.7 289.7 282.7 281.8 281.3 282.6 286.5 286.6 286.40000000000003 272.2 271.3 271.90000000000003 273.0 -- --] [-- 261.3 254.8 -- 284.7 281.8 247.20000000000002 221.3 214.70000000000002 214.10000000000002 238.9 233.8 245.60000000000002 -- -- -- -- -- 228.5 225.70000000000002 223.5 230.5 229.5 240.0 253.9 248.60000000000002 247.3 252.4 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 269.5 280.7 -- -- -- -- -- -- -- -- -- -- -- -- 267.40000000000003 231.0 -- 229.10000000000002 243.0 -- 227.9 241.9 236.9 253.60000000000002 249.8 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 263.3 267.1] [-- 211.10000000000002 227.0 -- -- 227.20000000000002 228.70000000000002 226.10000000000002 -- 214.60000000000002 210.20000000000002 -- -- -- -- -- -- -- -- 220.3 227.20000000000002 223.60000000000002 230.5 241.70000000000002 233.0 238.3 241.60000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 231.10000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- 234.5 -- -- -- -- 219.70000000000002 225.5 223.10000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- 261.3 254.8 -- 284.7 281.8 247.20000000000002 221.3 214.70000000000002 214.10000000000002 238.9 233.8 245.60000000000002 -- -- -- -- -- 228.5 225.70000000000002 223.5 230.5 229.5 240.0 253.9 248.60000000000002 247.3 252.4 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 269.5 280.7 -- -- -- -- -- -- -- -- -- -- -- -- 267.40000000000003 231.0 -- 229.10000000000002 243.0 -- 227.9 241.9 236.9 253.60000000000002 249.8 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 263.3 267.1] [-- 214.10000000000002 228.20000000000002 -- -- 232.60000000000002 236.9 227.8 -- 217.10000000000002 215.5 -- -- -- -- -- -- -- -- 222.9 230.8 227.4 235.60000000000002 246.4 242.8 245.3 250.0 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 234.4 -- -- -- -- -- -- -- -- -- -- -- -- -- -- 238.8 -- -- -- -- 230.4 236.8 227.4 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] generatingApplication [[1 1 1 ... 1 1 1] [1 1 1 ... 1 1 1] [1 1 1 ... 1 1 1] ... [3 3 3 ... 3 3 3] [3 3 3 ... 3 3 3] [3 3 3 ... 3 3 3]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-goes-9.items0000664000175000017500000013664615172126764024640 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 87 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 3 typicalMonth 6 typicalDay 18 typicalHour 23 typicalMinute 25 typicalDate 20030618 typicalTime 232500 rdbType 3 oldSubtype 87 localYear 2003 localMonth 6 localDay 18 localHour 23 localMinute 25 localSecond 0 rdbtimeDay 17 rdbtimeHour 17 rdbtimeMinute 32 rdbtimeSecond 11 rdbtimeTime 173211 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 42 localLongitude1 144.1226 localLatitude1 -57.2345 localLongitude2 168.97272 localLatitude2 -55.77964 localNumberOfObservations 42 satelliteID 253 observedData 1 compressedData 1 unexpandedDescriptors [310014 222000 236000 101103 31031 1031 1032 101004 33007 222000 237000 1031 1032 101004 33035 222000 237000 1031 1032 101004 33036 222000 237000 1031 1032 101004 33007 222000 237000 1031 1032 101004 33035 222000 237000 1031 1032 101004 33036 222000 237000 1031 1032 101004 33007 222000 237000 1031 1032 101004 33035 222000 237000 1031 1032 101004 33036] satelliteIdentifier [253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253 253] centre [[34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34]] satelliteClassification [241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241 241] segmentSizeAtNadirInXDirection [120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000] segmentSizeAtNadirInYDirection [120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000 120000] year [[2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003 2003] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] month [[6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] day [[18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] hour [[23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22] [23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23] [22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22] [23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] minute [[25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25] [13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13] [22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22] [49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49 49] [58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] second [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13] [21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21] [13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13] [21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] latitude [-55.77964 -55.7801 -55.78011 -55.78061 -55.78073 -55.78088 -55.78102 -55.78126 -55.78169 -55.78179 -55.78208 -55.88298 -55.99568 -56.1076 -56.2693 -56.27152 -56.27182 -56.2721 -56.27371 -56.2743 -56.2745 -56.27461 -56.27479 -56.2749 -56.27509 -56.27613 -56.27627 -56.27654 -56.27666 -56.27732 -56.27741 -56.27741 -56.39052 -56.61783 -56.72859 -56.76814 -56.7684 -56.7701 -56.7702 -56.77073 -57.23097 -57.2345 ] longitude [168.97272 164.50076 164.0038 151.40358 150.90656 150.40952 149.91248 148.9184 146.93012 163.56696 165.55536 168.33232 144.1226 144.58896 144.69182 148.16628 148.66278 149.15928 145.56194 153.62904 154.12578 150.529 155.43712 154.88068 154.38388 151.40274 150.90584 149.91202 149.41508 146.43336 145.9364 164.0636 165.09044 164.65532 151.85902 150.65184 151.14832 155.43614 154.87896 151.46264 152.10246 149.84204] satelliteInstrumentUsedInDataProcessing [4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304 4194304] satelliteDerivedWindComputationMethod [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] pressure [[46160.0 50600.0 53950.0 40150.0 44070.0 42690.0 44990.0 45340.0 41950.0 54790.0 51630.0 46740.0 48230.0 45000.0 44070.0 43670.0 44100.0 44160.0 43910.0 42660.0 43250.0 42320.0 53100.0 51230.0 44470.0 38660.0 40950.0 42550.0 43640.0 41610.0 42500.0 54180.0 50080.0 50080.0 41150.0 42510.0 41440.0 51930.0 50250.0 41190.0 42800.0 45450.0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [[80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure->qualityControl->qualityControl->qualityControl [[0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure->percentConfidence->percentConfidence->percentConfidence [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure->nominalConfidenceThreshold->nominalConfidenceThreshold [[70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure->percentConfidence->percentConfidence [[97 79 99 91 99 100 93 83 93 97 76 96 96 100 100 99 97 96 99 100 97 92 93 100 98 93 95 99 97 98 98 99 98 99 95 94 96 90 94 95 94 91] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- 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-- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence->percentConfidence [[97 79 99 91 99 100 93 83 93 97 76 96 96 100 100 99 97 96 99 100 97 92 93 100 98 93 95 99 97 98 98 99 98 99 95 94 96 90 94 95 94 91] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->nominalConfidenceThreshold [[65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->qualityControl [[0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeed->percentConfidence [[97 75 94 90 97 99 91 83 90 94 72 94 87 90 89 99 96 93 98 98 96 92 94 99 97 91 95 97 95 97 97 96 93 94 95 93 96 90 94 95 95 89] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteChannelCentreFrequency [2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13 2.77585e+13] satelliteChannelBandWidth [2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12 2.5757e+12] coldestClusterTemperature [229.7 232.6 236.3 226.8 231.2 232. 234.4 234.8 233.4 237.2 233.7 229.8 242.1 238.5 237.5 233.1 233.5 233.6 235.5 227.9 228.5 229.3 237.6 236.2 229.8 226.1 227.7 231.9 233. 233. 234. 236.6 232.7 232.7 226.2 227.7 226.5 236.7 235.2 226.2 228. 231.9] coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold [80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80 80] coldestClusterTemperature->qualityControl->qualityControl->qualityControl [0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold [70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70 70] coldestClusterTemperature->qualityControl->qualityControl [0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] coldestClusterTemperature->percentConfidence->percentConfidence [ 97 79 99 91 99 100 93 83 93 97 76 96 96 100 100 99 97 96 99 100 97 92 93 100 98 93 95 99 97 98 98 99 98 99 95 94 96 90 94 95 94 91] coldestClusterTemperature->nominalConfidenceThreshold [65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65] coldestClusterTemperature->qualityControl [0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] coldestClusterTemperature->percentConfidence [97 75 94 90 97 99 91 83 90 94 72 94 87 90 89 99 96 93 98 98 96 92 94 99 97 91 95 97 95 97 97 96 93 94 95 93 96 90 94 95 95 89] heightAssignmentMethod [[3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3] [3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 1 3 3 3 1 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3]] tracerCorrelationMethod [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] landOrSeaQualifier [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteZenithAngle [64.76 64.1 64.05 63.62 63.64 63.67 63.7 63.77 63.95 64. 64.24 64.76 64.51 64.56 64.72 64.35 64.31 64.27 64.62 64.07 64.07 64.19 64.06 64.06 64.07 64.15 64.17 64.23 64.26 64.52 64.58 64.58 64.82 65. 64.61 64.71 64.68 64.59 64.59 64.67 65.14 65.25] originOfFirstGuessInformationForGoesIOrMSoundings [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] timeSignificance [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28] [29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29 29] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] timePeriod [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] airTemperature [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] generatingApplication [[101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101] [101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101] [101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101] [102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102] [102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102] [102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102] [103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103] [103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103] [103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-meteosat-9.attributes0000664000175000017500000004520115172126764026553 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 satelliteClassification->code: '002196' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002221' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002222' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 satelliteInstrumentDataUsedInProcessing->code: '002252' satelliteInstrumentDataUsedInProcessing->units: FLAG TABLE satelliteInstrumentDataUsedInProcessing->scale: 0 satelliteInstrumentDataUsedInProcessing->reference: 0 satelliteInstrumentDataUsedInProcessing->width: 31 satelliteDerivedWindComputationMethod->code: '002023' satelliteDerivedWindComputationMethod->units: CODE TABLE satelliteDerivedWindComputationMethod->scale: 0 satelliteDerivedWindComputationMethod->reference: 0 satelliteDerivedWindComputationMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 pressure->percentConfidence->percentConfidence->percentConfidence->code: '033007' pressure->percentConfidence->percentConfidence->percentConfidence->units: % pressure->percentConfidence->percentConfidence->percentConfidence->scale: 0 pressure->percentConfidence->percentConfidence->percentConfidence->reference: 0 pressure->percentConfidence->percentConfidence->percentConfidence->width: 7 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 pressure->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 pressure->percentConfidence->percentConfidence->code: '033007' pressure->percentConfidence->percentConfidence->units: % pressure->percentConfidence->percentConfidence->scale: 0 pressure->percentConfidence->percentConfidence->reference: 0 pressure->percentConfidence->percentConfidence->width: 7 pressure->nominalConfidenceThreshold->code: '033253' pressure->nominalConfidenceThreshold->units: % pressure->nominalConfidenceThreshold->scale: 0 pressure->nominalConfidenceThreshold->reference: 0 pressure->nominalConfidenceThreshold->width: 7 pressure->manualAutomaticQualityControl->code: '033252' pressure->manualAutomaticQualityControl->units: CODE TABLE pressure->manualAutomaticQualityControl->scale: 0 pressure->manualAutomaticQualityControl->reference: 0 pressure->manualAutomaticQualityControl->width: 4 pressure->percentConfidence->code: '033007' pressure->percentConfidence->units: % pressure->percentConfidence->scale: 0 pressure->percentConfidence->reference: 0 pressure->percentConfidence->width: 7 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windDirection->percentConfidence->percentConfidence->percentConfidence->code: '033007' windDirection->percentConfidence->percentConfidence->percentConfidence->units: % windDirection->percentConfidence->percentConfidence->percentConfidence->scale: 0 windDirection->percentConfidence->percentConfidence->percentConfidence->reference: 0 windDirection->percentConfidence->percentConfidence->percentConfidence->width: 7 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windDirection->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windDirection->percentConfidence->percentConfidence->code: '033007' windDirection->percentConfidence->percentConfidence->units: % windDirection->percentConfidence->percentConfidence->scale: 0 windDirection->percentConfidence->percentConfidence->reference: 0 windDirection->percentConfidence->percentConfidence->width: 7 windDirection->nominalConfidenceThreshold->code: '033253' windDirection->nominalConfidenceThreshold->units: % windDirection->nominalConfidenceThreshold->scale: 0 windDirection->nominalConfidenceThreshold->reference: 0 windDirection->nominalConfidenceThreshold->width: 7 windDirection->manualAutomaticQualityControl->code: '033252' windDirection->manualAutomaticQualityControl->units: CODE TABLE windDirection->manualAutomaticQualityControl->scale: 0 windDirection->manualAutomaticQualityControl->reference: 0 windDirection->manualAutomaticQualityControl->width: 4 windDirection->percentConfidence->code: '033007' windDirection->percentConfidence->units: % windDirection->percentConfidence->scale: 0 windDirection->percentConfidence->reference: 0 windDirection->percentConfidence->width: 7 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windSpeed->percentConfidence->percentConfidence->percentConfidence->code: '033007' windSpeed->percentConfidence->percentConfidence->percentConfidence->units: % windSpeed->percentConfidence->percentConfidence->percentConfidence->scale: 0 windSpeed->percentConfidence->percentConfidence->percentConfidence->reference: 0 windSpeed->percentConfidence->percentConfidence->percentConfidence->width: 7 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 windSpeed->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 windSpeed->percentConfidence->percentConfidence->code: '033007' windSpeed->percentConfidence->percentConfidence->units: % windSpeed->percentConfidence->percentConfidence->scale: 0 windSpeed->percentConfidence->percentConfidence->reference: 0 windSpeed->percentConfidence->percentConfidence->width: 7 windSpeed->nominalConfidenceThreshold->code: '033253' windSpeed->nominalConfidenceThreshold->units: % windSpeed->nominalConfidenceThreshold->scale: 0 windSpeed->nominalConfidenceThreshold->reference: 0 windSpeed->nominalConfidenceThreshold->width: 7 windSpeed->manualAutomaticQualityControl->code: '033252' windSpeed->manualAutomaticQualityControl->units: CODE TABLE windSpeed->manualAutomaticQualityControl->scale: 0 windSpeed->manualAutomaticQualityControl->reference: 0 windSpeed->manualAutomaticQualityControl->width: 4 windSpeed->percentConfidence->code: '033007' windSpeed->percentConfidence->units: % windSpeed->percentConfidence->scale: 0 windSpeed->percentConfidence->reference: 0 windSpeed->percentConfidence->width: 7 satelliteChannelCentreFrequency->code: '002197' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002198' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 coldestClusterTemperature->code: '012193' coldestClusterTemperature->units: K coldestClusterTemperature->scale: 1 coldestClusterTemperature->reference: 0 coldestClusterTemperature->width: 12 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->units: % coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->percentConfidence->percentConfidence->width: 7 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->code: '033253' coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->code: '033252' coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->units: CODE TABLE coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->scale: 0 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->reference: 0 coldestClusterTemperature->manualAutomaticQualityControl->manualAutomaticQualityControl->width: 4 coldestClusterTemperature->percentConfidence->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->percentConfidence->units: % coldestClusterTemperature->percentConfidence->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->percentConfidence->width: 7 coldestClusterTemperature->nominalConfidenceThreshold->code: '033253' coldestClusterTemperature->nominalConfidenceThreshold->units: % coldestClusterTemperature->nominalConfidenceThreshold->scale: 0 coldestClusterTemperature->nominalConfidenceThreshold->reference: 0 coldestClusterTemperature->nominalConfidenceThreshold->width: 7 coldestClusterTemperature->manualAutomaticQualityControl->code: '033252' coldestClusterTemperature->manualAutomaticQualityControl->units: CODE TABLE coldestClusterTemperature->manualAutomaticQualityControl->scale: 0 coldestClusterTemperature->manualAutomaticQualityControl->reference: 0 coldestClusterTemperature->manualAutomaticQualityControl->width: 4 coldestClusterTemperature->percentConfidence->code: '033007' coldestClusterTemperature->percentConfidence->units: % coldestClusterTemperature->percentConfidence->scale: 0 coldestClusterTemperature->percentConfidence->reference: 0 coldestClusterTemperature->percentConfidence->width: 7 heightAssignmentMethod->code: '002231' heightAssignmentMethod->units: CODE TABLE heightAssignmentMethod->scale: 0 heightAssignmentMethod->reference: 0 heightAssignmentMethod->width: 4 tracerCorrelationMethod->code: '002232' tracerCorrelationMethod->units: CODE TABLE tracerCorrelationMethod->scale: 0 tracerCorrelationMethod->reference: 0 tracerCorrelationMethod->width: 3 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 originOfFirstGuessInformationForGoesIOrMSoundings->code: '002057' originOfFirstGuessInformationForGoesIOrMSoundings->units: CODE TABLE originOfFirstGuessInformationForGoesIOrMSoundings->scale: 0 originOfFirstGuessInformationForGoesIOrMSoundings->reference: 0 originOfFirstGuessInformationForGoesIOrMSoundings->width: 4 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timePeriod->code: '004024' timePeriod->units: h timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/buoy-drifting.items0000664000175000017500000000735015172126764025523 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 1 dataSubCategory 182 masterTablesVersionNumber 22 localTablesVersionNumber 0 typicalYearOfCentury 15 typicalMonth 7 typicalDay 31 typicalHour 10 typicalMinute 41 typicalDate 20150731 typicalTime 104100 numberOfSubsets 1 observedData 1 compressedData 0 unexpandedDescriptors [315009] marineObservingPlatformIdentifier 3657 longStationName SVP_B-PMT-PACIFIC_GYRE - PFO dataBuoyType 1 timeSignificance [26 25 2] year [2015 2015] month [7 7] day [31 31] hour [10 10] minute [41 0] latitude -55.98893 longitude -17.17771 platformTransmitterIdNumber 0126974 dataCollectionLocationSystem 1 directionOfMotionOfMovingObservingPlatform -- platformDriftSpeed -- qualityOfBuoySatelliteTransmission 0 qualityOfBuoyLocation 1 locationQualityClassRangeOfRadiusOf66Confidence 3 batteryVoltageLargeRange 8.200000000000001 drogueType 1 lagrangianDrifterDrogueStatus 1 drogueDepth 15 lagrangianDrifterSubmergenceTimeSubmerged 2 temperatureObservationPrecision [-- -- --] oceanographicWaterTemperature [273.95 273.95] methodOfSalinityOrDepthMeasurement [-- --] seaSurfaceSalinity -- surfaceType -- iceThickness -- shortDelayedDescriptorReplicationFactor [1 0 1 1] indicatorForDigitization [--] delayedDescriptorReplicationFactor [1] depthBelowWaterSurface [0.] salinity [--] nonCoordinatePressure -- pressureReducedToMeanSeaLevel 99110.0 anemometerType [--] heightOfSensorAboveWaterSurface [--] timePeriod [--] windDirection [--] windSpeed [--] durationOfWaveRecord [--] significantWaveHeight [--] maximumWaveHeight [--] averageWavePeriod [--] spectralPeakWavePeriod [--] directionFromWhichDominantWavesAreComing [--] directionalSpreadOfDominantWave [--] messageNumber 2 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 1 dataSubCategory 182 masterTablesVersionNumber 22 localTablesVersionNumber 0 typicalYearOfCentury 16 typicalMonth 11 typicalDay 1 typicalHour 0 typicalMinute 0 typicalDate 20161101 typicalTime 000000 rdbType 1 oldSubtype 182 localYear 2016 localMonth 11 localDay 1 localHour 0 localMinute 0 localSecond 0 rdbtimeDay 1 rdbtimeHour 0 rdbtimeMinute 24 rdbtimeSecond 31 rdbtimeTime 002431 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude 61.3414 localLongitude -10.3232 ident 47549 observedData 1 compressedData 0 unexpandedDescriptors [315009 225000 236000 101041 31031 1031 1032 8024 101002 225255] marineObservingPlatformIdentifier 4700549 longStationName 300234063516680 dataBuoyType 1 timeSignificance [26 25] year [2016 2016] month [11 11] day [1 1] hour [0 0] minute [0 0] latitude 61.34140000000001 longitude -10.323200000000002 platformTransmitterIdNumber 300234063516 dataCollectionLocationSystem 2 directionOfMotionOfMovingObservingPlatform -- platformDriftSpeed -- qualityOfBuoySatelliteTransmission 0 qualityOfBuoyLocation 0 locationQualityClassRangeOfRadiusOf66Confidence 3 batteryVoltageLargeRange 14.4 drogueType 1 lagrangianDrifterDrogueStatus 1 drogueDepth 15 lagrangianDrifterSubmergenceTimeSubmerged 1 temperatureObservationPrecision [--] oceanographicWaterTemperature [283.35] methodOfSalinityOrDepthMeasurement [--] seaSurfaceSalinity -- surfaceType -- iceThickness -- shortDelayedDescriptorReplicationFactor [0 0 0 0] nonCoordinatePressure 102880.0 nonCoordinatePressure->differenceStatisticalValue -- pressureReducedToMeanSeaLevel 102880.0 pressureReducedToMeanSeaLevel->differenceStatisticalValue -- centre 98 generatingApplication 10 differenceStatistics 40 ecmwf-eccodes-python-b43a0f2/tests/sample-data/rwp.bufr0000664000175000017500000000061615172126764023364 0ustar alastairalastairBUFRŽb€`  4`~Aw –_Jˆ47755 ŽA)d)@FF€Á ej„‚‚y‚…‚‚K„ „ „ „ö_yïÂH$O<àiÿÿÿÿÿû BÁ8”ûÏ@ÅÀœ ýˆÀu_ÿÿÿÿðC &àW‚|i¸&\6?Xôv Ð`Ÿz Þÿÿð_ÿÿ€‚ÿÿø/ÿÿƒ‰ÿüÿÿÁèà¿ÿþ ÿÿá _ÿÿÿÿðŒh/ÿÿ‚ÿÿøJÀ´.?Ä'¦ à@Ÿ¨röð Oè3 ‚ÿÿø/ÿÿ…ÏAÿüÿÿà ¿ÿþ ÿÿá˜0_ÿÿÿÿðÕ0/ÿÿ‚ÿÿøo$ä:><Ø9Ø ð`Ÿ,pöàO£9™z‡Ø'Ò€7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/saral-altika.attributes0000664000175000017500000003616315172126764026357 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteInstruments->code: '002019' satelliteInstruments->units: CODE TABLE satelliteInstruments->scale: 0 satelliteInstruments->reference: 0 satelliteInstruments->width: 11 stationAcquisition->code: '001096' stationAcquisition->units: CCITT IA5 stationAcquisition->scale: 0 stationAcquisition->reference: 0 stationAcquisition->width: 160 softwareVersionNumber->code: '025061' softwareVersionNumber->units: CCITT IA5 softwareVersionNumber->scale: 0 softwareVersionNumber->reference: 0 softwareVersionNumber->width: 96 satelliteCycleNumber->code: '005044' satelliteCycleNumber->units: Numeric satelliteCycleNumber->scale: 0 satelliteCycleNumber->reference: 0 satelliteCycleNumber->width: 11 orbitNumber->code: '005040' orbitNumber->units: Numeric orbitNumber->scale: 0 orbitNumber->reference: 0 orbitNumber->width: 24 numericalModelIdentifier->code: '001030' numericalModelIdentifier->units: CCITT IA5 numericalModelIdentifier->scale: 0 numericalModelIdentifier->reference: 0 numericalModelIdentifier->width: 128 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 secondsWithinAMinuteMicrosecond->code: '004007' secondsWithinAMinuteMicrosecond->units: s secondsWithinAMinuteMicrosecond->scale: 6 secondsWithinAMinuteMicrosecond->reference: 0 secondsWithinAMinuteMicrosecond->width: 26 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 surfaceType->code: '008029' surfaceType->units: CODE TABLE surfaceType->scale: 0 surfaceType->reference: 0 surfaceType->width: 8 radiometerSensedSurfaceType->code: '008077' radiometerSensedSurfaceType->units: CODE TABLE radiometerSensedSurfaceType->scale: 0 radiometerSensedSurfaceType->reference: 0 radiometerSensedSurfaceType->width: 7 interpolationFlag->code: '040011' interpolationFlag->units: FLAG TABLE interpolationFlag->scale: 0 interpolationFlag->reference: 0 interpolationFlag->width: 8 threeDimensionalErrorEstimateOfNavigatorOrbit->code: '025097' threeDimensionalErrorEstimateOfNavigatorOrbit->units: CODE TABLE threeDimensionalErrorEstimateOfNavigatorOrbit->scale: 0 threeDimensionalErrorEstimateOfNavigatorOrbit->reference: 0 threeDimensionalErrorEstimateOfNavigatorOrbit->width: 4 bandSpecificAltimeterDataQualityFlag->code: '025112' bandSpecificAltimeterDataQualityFlag->units: FLAG TABLE bandSpecificAltimeterDataQualityFlag->scale: 0 bandSpecificAltimeterDataQualityFlag->reference: 0 bandSpecificAltimeterDataQualityFlag->width: 9 bandSpecificAltimeterCorrectionQualityFlag->code: '025113' bandSpecificAltimeterCorrectionQualityFlag->units: FLAG TABLE bandSpecificAltimeterCorrectionQualityFlag->scale: 0 bandSpecificAltimeterCorrectionQualityFlag->reference: 0 bandSpecificAltimeterCorrectionQualityFlag->width: 9 trailingEdgeVariationFlag->code: '021148' trailingEdgeVariationFlag->units: FLAG TABLE trailingEdgeVariationFlag->scale: 0 trailingEdgeVariationFlag->reference: 0 trailingEdgeVariationFlag->width: 2 icePresenceIndicator->code: '021169' icePresenceIndicator->units: CODE TABLE icePresenceIndicator->scale: 0 icePresenceIndicator->reference: 0 icePresenceIndicator->width: 2 meteorologicalMapAvailability->code: '040024' meteorologicalMapAvailability->units: CODE TABLE meteorologicalMapAvailability->scale: 0 meteorologicalMapAvailability->reference: 0 meteorologicalMapAvailability->width: 3 interpolationFlagForMeanDiurnalTide->code: '040025' interpolationFlagForMeanDiurnalTide->units: CODE TABLE interpolationFlagForMeanDiurnalTide->scale: 0 interpolationFlagForMeanDiurnalTide->reference: 0 interpolationFlagForMeanDiurnalTide->width: 2 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 specificBandOceanRange->code: '022188' specificBandOceanRange->units: m specificBandOceanRange->scale: 3 specificBandOceanRange->reference: 0 specificBandOceanRange->width: 31 rmsOfSpecificBandOceanRange->code: '022190' rmsOfSpecificBandOceanRange->units: m rmsOfSpecificBandOceanRange->scale: 4 rmsOfSpecificBandOceanRange->reference: 0 rmsOfSpecificBandOceanRange->width: 16 numberOfValidPointsForSpecificBand->code: '022191' numberOfValidPointsForSpecificBand->units: Numeric numberOfValidPointsForSpecificBand->scale: 0 numberOfValidPointsForSpecificBand->reference: 0 numberOfValidPointsForSpecificBand->width: 10 specificBandNetInstrumentalCorrection->code: '025167' specificBandNetInstrumentalCorrection->units: m specificBandNetInstrumentalCorrection->scale: 4 specificBandNetInstrumentalCorrection->reference: -120000 specificBandNetInstrumentalCorrection->width: 18 seaStateBiasCorrectionOnSpecificBand->code: '025166' seaStateBiasCorrectionOnSpecificBand->units: m seaStateBiasCorrectionOnSpecificBand->scale: 4 seaStateBiasCorrectionOnSpecificBand->reference: -32768 seaStateBiasCorrectionOnSpecificBand->width: 16 specificBandSignificantWaveHeight->code: '022189' specificBandSignificantWaveHeight->units: m specificBandSignificantWaveHeight->scale: 3 specificBandSignificantWaveHeight->reference: 0 specificBandSignificantWaveHeight->width: 16 rmsSpecificBandSignificnatWaveHeight->code: '022192' rmsSpecificBandSignificnatWaveHeight->units: m rmsSpecificBandSignificnatWaveHeight->scale: 3 rmsSpecificBandSignificnatWaveHeight->reference: 0 rmsSpecificBandSignificnatWaveHeight->width: 16 numberOfValidPointsForSpecificBandSing->code: '022193' numberOfValidPointsForSpecificBandSing->units: NUMERIC numberOfValidPointsForSpecificBandSing->scale: 0 numberOfValidPointsForSpecificBandSing->reference: 0 numberOfValidPointsForSpecificBandSing->width: 10 specificBandNetInstrCorrectionForSigWaveHeight->code: '022194' specificBandNetInstrCorrectionForSigWaveHeight->units: M specificBandNetInstrCorrectionForSigWaveHeight->scale: 3 specificBandNetInstrCorrectionForSigWaveHeight->reference: -1000 specificBandNetInstrCorrectionForSigWaveHeight->width: 11 specificBandCorrectedOceanBackscatterCoefficient->code: '021176' specificBandCorrectedOceanBackscatterCoefficient->units: dB specificBandCorrectedOceanBackscatterCoefficient->scale: 2 specificBandCorrectedOceanBackscatterCoefficient->reference: -32768 specificBandCorrectedOceanBackscatterCoefficient->width: 16 stdSpecificBandCorrectedOceanBackscatterCoefficient->code: '021177' stdSpecificBandCorrectedOceanBackscatterCoefficient->units: dB stdSpecificBandCorrectedOceanBackscatterCoefficient->scale: 2 stdSpecificBandCorrectedOceanBackscatterCoefficient->reference: -32768 stdSpecificBandCorrectedOceanBackscatterCoefficient->width: 16 numberOfValidPointsForSpecificBandBackscatter->code: '022195' numberOfValidPointsForSpecificBandBackscatter->units: NUMERIC numberOfValidPointsForSpecificBandBackscatter->scale: 0 numberOfValidPointsForSpecificBandBackscatter->reference: 0 numberOfValidPointsForSpecificBandBackscatter->width: 10 specificBandNetInstrumentalCorrectionForAGC->code: '021178' specificBandNetInstrumentalCorrectionForAGC->units: DB specificBandNetInstrumentalCorrectionForAGC->scale: 2 specificBandNetInstrumentalCorrectionForAGC->reference: -2048 specificBandNetInstrumentalCorrectionForAGC->width: 12 attenuationCorrectionOnSigma0->code: '021118' attenuationCorrectionOnSigma0->units: dB attenuationCorrectionOnSigma0->scale: 2 attenuationCorrectionOnSigma0->reference: -10000 attenuationCorrectionOnSigma0->width: 14 specificBandAutomaticGainControl->code: '021179' specificBandAutomaticGainControl->units: dB specificBandAutomaticGainControl->scale: 2 specificBandAutomaticGainControl->reference: 0 specificBandAutomaticGainControl->width: 13 rmsSpecificBandAutomaticGainControl->code: '021180' rmsSpecificBandAutomaticGainControl->units: dB rmsSpecificBandAutomaticGainControl->scale: 2 rmsSpecificBandAutomaticGainControl->reference: 0 rmsSpecificBandAutomaticGainControl->width: 8 numberOfValidPointsForSpecificBandAutomaticGainControl->code: '021181' numberOfValidPointsForSpecificBandAutomaticGainControl->units: NUMERIC numberOfValidPointsForSpecificBandAutomaticGainControl->scale: 0 numberOfValidPointsForSpecificBandAutomaticGainControl->reference: 0 numberOfValidPointsForSpecificBandAutomaticGainControl->width: 7 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 1 brightnessTemperature->reference: 0 brightnessTemperature->width: 12 radiometerWaterVapourContent->code: '013090' radiometerWaterVapourContent->units: kg m-2 radiometerWaterVapourContent->scale: 1 radiometerWaterVapourContent->reference: 0 radiometerWaterVapourContent->width: 10 radiometerLiquidContent->code: '013160' radiometerLiquidContent->units: kg m-2 radiometerLiquidContent->scale: 2 radiometerLiquidContent->reference: -350 radiometerLiquidContent->width: 10 height->code: '007002' height->units: m height->scale: -1 height->reference: -40 height->width: 16 windSpeedFromAltimeter->code: '011097' windSpeedFromAltimeter->units: m/s windSpeedFromAltimeter->scale: 2 windSpeedFromAltimeter->reference: 0 windSpeedFromAltimeter->width: 12 u->code: '011095' u->units: m/s u->scale: 1 u->reference: -4096 u->width: 13 v->code: '011096' v->units: m/s v->scale: 1 v->reference: -4096 v->width: 13 meanDynamicTopography->code: '010096' meanDynamicTopography->units: m meanDynamicTopography->scale: 3 meanDynamicTopography->reference: -131072 meanDynamicTopography->width: 18 cogAltitudeAboveReferenceEllipsoid->code: '010081' cogAltitudeAboveReferenceEllipsoid->units: m cogAltitudeAboveReferenceEllipsoid->scale: 3 cogAltitudeAboveReferenceEllipsoid->reference: 0 cogAltitudeAboveReferenceEllipsoid->width: 31 instantaneousAltitudeRate->code: '010082' instantaneousAltitudeRate->units: m/s instantaneousAltitudeRate->scale: 3 instantaneousAltitudeRate->reference: -65536 instantaneousAltitudeRate->width: 17 squaredOffNadirAngleOfSatelliteFromPlatformData->code: '010083' squaredOffNadirAngleOfSatelliteFromPlatformData->units: deg2 squaredOffNadirAngleOfSatelliteFromPlatformData->scale: 2 squaredOffNadirAngleOfSatelliteFromPlatformData->reference: 0 squaredOffNadirAngleOfSatelliteFromPlatformData->width: 16 squaredOffNadirAngleOfSatelliteFromWaveformData->code: '010101' squaredOffNadirAngleOfSatelliteFromWaveformData->units: deg2 squaredOffNadirAngleOfSatelliteFromWaveformData->scale: 2 squaredOffNadirAngleOfSatelliteFromWaveformData->reference: -32768 squaredOffNadirAngleOfSatelliteFromWaveformData->width: 16 ionosphericCorrectionFromModelOnSpecificBand->code: '025165' ionosphericCorrectionFromModelOnSpecificBand->units: m ionosphericCorrectionFromModelOnSpecificBand->scale: 4 ionosphericCorrectionFromModelOnSpecificBand->reference: -32768 ionosphericCorrectionFromModelOnSpecificBand->width: 16 modelDryTroposphericCorrection->code: '025126' modelDryTroposphericCorrection->units: m modelDryTroposphericCorrection->scale: 3 modelDryTroposphericCorrection->reference: -32768 modelDryTroposphericCorrection->width: 16 modelWetTroposphericCorrection->code: '025128' modelWetTroposphericCorrection->units: m modelWetTroposphericCorrection->scale: 3 modelWetTroposphericCorrection->reference: -32768 modelWetTroposphericCorrection->width: 16 radiometerWetTroposphericCorrection->code: '025164' radiometerWetTroposphericCorrection->units: m radiometerWetTroposphericCorrection->scale: 4 radiometerWetTroposphericCorrection->reference: -5000 radiometerWetTroposphericCorrection->width: 13 meanSeaSurfaceHeight->code: '010085' meanSeaSurfaceHeight->units: m meanSeaSurfaceHeight->scale: 3 meanSeaSurfaceHeight->reference: -131072 meanSeaSurfaceHeight->width: 18 geoidHeight->code: '010086' geoidHeight->units: m geoidHeight->scale: 3 geoidHeight->reference: -131072 geoidHeight->width: 18 oceanDepthOrLandElevation->code: '010087' oceanDepthOrLandElevation->units: m oceanDepthOrLandElevation->scale: 1 oceanDepthOrLandElevation->reference: -131072 oceanDepthOrLandElevation->width: 18 solidEarthTideHeight->code: '010092' solidEarthTideHeight->units: m solidEarthTideHeight->scale: 3 solidEarthTideHeight->reference: -32768 solidEarthTideHeight->width: 16 totalGeocentricOceanTideHeightSolution1->code: '010088' totalGeocentricOceanTideHeightSolution1->units: m totalGeocentricOceanTideHeightSolution1->scale: 3 totalGeocentricOceanTideHeightSolution1->reference: -32768 totalGeocentricOceanTideHeightSolution1->width: 16 totalGeocentricOceanTideHeightSolution2->code: '010089' totalGeocentricOceanTideHeightSolution2->units: m totalGeocentricOceanTideHeightSolution2->scale: 3 totalGeocentricOceanTideHeightSolution2->reference: -32768 totalGeocentricOceanTideHeightSolution2->width: 16 loadingTideHeightGeocentricOceanTideSolution1->code: '010098' loadingTideHeightGeocentricOceanTideSolution1->units: m loadingTideHeightGeocentricOceanTideSolution1->scale: 4 loadingTideHeightGeocentricOceanTideSolution1->reference: -2000 loadingTideHeightGeocentricOceanTideSolution1->width: 12 loadingTideHeightGeocentricOceanTideSolution2->code: '010099' loadingTideHeightGeocentricOceanTideSolution2->units: m loadingTideHeightGeocentricOceanTideSolution2->scale: 4 loadingTideHeightGeocentricOceanTideSolution2->reference: -2000 loadingTideHeightGeocentricOceanTideSolution2->width: 12 longPeriodTideHeight->code: '010090' longPeriodTideHeight->units: m longPeriodTideHeight->scale: 3 longPeriodTideHeight->reference: -32768 longPeriodTideHeight->width: 16 nonEquilibriumLongPeriodTideHeight->code: '010100' nonEquilibriumLongPeriodTideHeight->units: m nonEquilibriumLongPeriodTideHeight->scale: 4 nonEquilibriumLongPeriodTideHeight->reference: -2000 nonEquilibriumLongPeriodTideHeight->width: 12 geocentricPoleTideHeight->code: '010093' geocentricPoleTideHeight->units: m geocentricPoleTideHeight->scale: 3 geocentricPoleTideHeight->reference: -32768 geocentricPoleTideHeight->width: 16 invertedBarometerCorrection->code: '025127' invertedBarometerCorrection->units: m invertedBarometerCorrection->scale: 3 invertedBarometerCorrection->reference: -32768 invertedBarometerCorrection->width: 16 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->code: '040014' highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->units: m highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->scale: 4 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->reference: -3000 highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection->width: 13 seaSurfaceHeightAnomaly->code: '010102' seaSurfaceHeightAnomaly->units: m seaSurfaceHeightAnomaly->scale: 3 seaSurfaceHeightAnomaly->reference: -32768 seaSurfaceHeightAnomaly->width: 16 radiometerLiquidContentForTest->code: '013161' radiometerLiquidContentForTest->units: kg m-2 radiometerLiquidContentForTest->scale: 2 radiometerLiquidContentForTest->reference: -350 radiometerLiquidContentForTest->width: 10 ecmwf-eccodes-python-b43a0f2/tests/sample-data/buoy-drifting.bufr0000664000175000017500000000057415172126764025341 0ustar alastairalastairBUFRžb¶ ) €Ï v’¦¬ ¾„Z š¨Z ‚†’Œ’†¾Ž²¤Š@Z@ Œž@@@@Ÿ}ßU#>Y3áÉÔÀÄÈØäÜЀ€€€€€€€€?ÿüX)à²ûîú€ÿ¬ÿÿÿÿÿÿþÖÿÿÿÿæ·ÿÅÿÿÿÿÿÿÿÿÿÿÿÿÿà7777€€BUFRÜb€¶ 4¶~ @ºsvÞ47549 Ü >)@F€Ï ™¤A) A™ÿjs f``dfh`lfjbllp`@@@@@@@@@@@@@@@@@Ÿ‚ÁnÛÄ  ÌÀÀÈÌÐÀØÌÔÄØØàÀ€_ÿüHàrüÿº¿ÿÿÿÿÿÔP`?ÿÿÿüà ATÿÿþ7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/acars.bufr0000664000175000017500000000027415172126764023645 0ustar alastairalastairBUFRºb‘ N€=>F?    " #   )–AÉA!NZT2BTNYQ2INHOABAæ†kÿü}áp`¯0&@d7~MßÿÿÿŒOÿÿàÄ7øÑ£Fÿ4hÑ£Y³øÑ¿ÿÿÿÿà77770&ecmwf-eccodes-python-b43a0f2/tests/sample-data/geos-abi-goes-16.attributes0000664000175000017500000003434215172126764026654 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 satelliteClassification->code: '002020' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002028' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002029' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 numberOfPixelsPerRow->code: '030021' numberOfPixelsPerRow->units: Numeric numberOfPixelsPerRow->scale: 0 numberOfPixelsPerRow->reference: 0 numberOfPixelsPerRow->width: 12 numberOfPixelsPerColumn->code: '030022' numberOfPixelsPerColumn->units: Numeric numberOfPixelsPerColumn->scale: 0 numberOfPixelsPerColumn->reference: 0 numberOfPixelsPerColumn->width: 12 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 bearingOrAzimuth->code: '005021' bearingOrAzimuth->units: deg bearingOrAzimuth->scale: 2 bearingOrAzimuth->reference: 0 bearingOrAzimuth->width: 16 solarZenithAngle->code: '007025' solarZenithAngle->units: deg solarZenithAngle->scale: 2 solarZenithAngle->reference: -9000 solarZenithAngle->width: 15 solarAzimuth->code: '005022' solarAzimuth->units: deg solarAzimuth->scale: 2 solarAzimuth->reference: 0 solarAzimuth->width: 16 nonCoordinateHeight->code: '010002' nonCoordinateHeight->units: m nonCoordinateHeight->scale: -1 nonCoordinateHeight->reference: -40 nonCoordinateHeight->width: 16 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002154' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 cloudAmountInSegment->code: '020081' cloudAmountInSegment->units: % cloudAmountInSegment->scale: 0 cloudAmountInSegment->reference: 0 cloudAmountInSegment->width: 7 amountSegmentCloudFree->code: '020082' amountSegmentCloudFree->units: % amountSegmentCloudFree->scale: 0 amountSegmentCloudFree->reference: 0 amountSegmentCloudFree->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 satelliteInstrumentUsedInDataProcessing->code: '002152' satelliteInstrumentUsedInDataProcessing->units: FLAG TABLE satelliteInstrumentUsedInDataProcessing->scale: 0 satelliteInstrumentUsedInDataProcessing->reference: 0 satelliteInstrumentUsedInDataProcessing->width: 31 meanHumidityComputationalMethod->code: '002024' meanHumidityComputationalMethod->units: CODE TABLE meanHumidityComputationalMethod->scale: 0 meanHumidityComputationalMethod->reference: 0 meanHumidityComputationalMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 radianceType->code: '002166' radianceType->units: CODE TABLE radianceType->scale: 0 radianceType->reference: 0 radianceType->width: 4 radianceComputationalMethod->code: '002167' radianceComputationalMethod->units: CODE TABLE radianceComputationalMethod->scale: 0 radianceComputationalMethod->reference: 0 radianceComputationalMethod->width: 4 spectralRadiance->code: '012075' spectralRadiance->units: W m-3 sr-1 spectralRadiance->scale: -3 spectralRadiance->reference: 0 spectralRadiance->width: 16 spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue->code: '224255' spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue->units: W m-3 sr-1 spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue->scale: 0 spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue->reference: 0 spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue->width: 0 spectralRadiance->firstOrderStatisticalValue->code: '224255' spectralRadiance->firstOrderStatisticalValue->units: W m-3 sr-1 spectralRadiance->firstOrderStatisticalValue->scale: 0 spectralRadiance->firstOrderStatisticalValue->reference: 0 spectralRadiance->firstOrderStatisticalValue->width: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->code: '033007' spectralRadiance->percentConfidence->percentConfidence->percentConfidence->units: % spectralRadiance->percentConfidence->percentConfidence->percentConfidence->scale: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->reference: 0 spectralRadiance->percentConfidence->percentConfidence->percentConfidence->width: 7 spectralRadiance->percentConfidence->percentConfidence->code: '033007' spectralRadiance->percentConfidence->percentConfidence->units: % spectralRadiance->percentConfidence->percentConfidence->scale: 0 spectralRadiance->percentConfidence->percentConfidence->reference: 0 spectralRadiance->percentConfidence->percentConfidence->width: 7 spectralRadiance->percentConfidence->code: '033007' spectralRadiance->percentConfidence->units: % spectralRadiance->percentConfidence->scale: 0 spectralRadiance->percentConfidence->reference: 0 spectralRadiance->percentConfidence->width: 7 radiance->code: '012076' radiance->units: W m-2 sr-1 radiance->scale: 3 radiance->reference: 0 radiance->width: 16 radiance->firstOrderStatisticalValue->firstOrderStatisticalValue->code: '224255' radiance->firstOrderStatisticalValue->firstOrderStatisticalValue->units: W m-2 sr-1 radiance->firstOrderStatisticalValue->firstOrderStatisticalValue->scale: 0 radiance->firstOrderStatisticalValue->firstOrderStatisticalValue->reference: 0 radiance->firstOrderStatisticalValue->firstOrderStatisticalValue->width: 0 radiance->firstOrderStatisticalValue->code: '224255' radiance->firstOrderStatisticalValue->units: W m-2 sr-1 radiance->firstOrderStatisticalValue->scale: 0 radiance->firstOrderStatisticalValue->reference: 0 radiance->firstOrderStatisticalValue->width: 0 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 radiance->percentConfidence->percentConfidence->percentConfidence->code: '033007' radiance->percentConfidence->percentConfidence->percentConfidence->units: % radiance->percentConfidence->percentConfidence->percentConfidence->scale: 0 radiance->percentConfidence->percentConfidence->percentConfidence->reference: 0 radiance->percentConfidence->percentConfidence->percentConfidence->width: 7 radiance->percentConfidence->percentConfidence->code: '033007' radiance->percentConfidence->percentConfidence->units: % radiance->percentConfidence->percentConfidence->scale: 0 radiance->percentConfidence->percentConfidence->reference: 0 radiance->percentConfidence->percentConfidence->width: 7 radiance->percentConfidence->code: '033007' radiance->percentConfidence->units: % radiance->percentConfidence->scale: 0 radiance->percentConfidence->reference: 0 radiance->percentConfidence->width: 7 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 1 brightnessTemperature->reference: 0 brightnessTemperature->width: 12 brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue->code: '224255' brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue->units: K brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue->scale: 0 brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue->reference: 0 brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue->width: 0 brightnessTemperature->firstOrderStatisticalValue->code: '224255' brightnessTemperature->firstOrderStatisticalValue->units: K brightnessTemperature->firstOrderStatisticalValue->scale: 0 brightnessTemperature->firstOrderStatisticalValue->reference: 0 brightnessTemperature->firstOrderStatisticalValue->width: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->units: % brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->width: 7 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->units: % brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->width: 7 brightnessTemperature->percentConfidence->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->percentConfidence->units: % brightnessTemperature->percentConfidence->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->percentConfidence->width: 7 brightnessTemperature->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->units: % brightnessTemperature->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->width: 7 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE defined by originating/generating centre generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 methodOfDerivationOfPercentageConfidence->code: '008033' methodOfDerivationOfPercentageConfidence->units: CODE TABLE methodOfDerivationOfPercentageConfidence->scale: 0 methodOfDerivationOfPercentageConfidence->reference: 0 methodOfDerivationOfPercentageConfidence->width: 7 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/sample-data/rwp.attributes0000664000175000017500000001056715172126764024622 0ustar alastairalastairmessageNumber: 1 blockNumber->code: '001001' blockNumber->units: Numeric blockNumber->scale: 0 blockNumber->reference: 0 blockNumber->width: 7 stationNumber->code: '001002' stationNumber->units: Numeric stationNumber->scale: 0 stationNumber->reference: 0 stationNumber->width: 10 stationType->code: '002001' stationType->units: CODE TABLE stationType->scale: 0 stationType->reference: 0 stationType->width: 2 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 latitude->code: '005002' latitude->units: deg latitude->scale: 2 latitude->reference: -9000 latitude->width: 15 longitude->code: '006002' longitude->units: deg longitude->scale: 2 longitude->reference: -18000 longitude->width: 16 heightOfStation->code: '007001' heightOfStation->units: m heightOfStation->scale: 0 heightOfStation->reference: -400 heightOfStation->width: 15 measuringEquipmentType->code: '002003' measuringEquipmentType->units: CODE TABLE measuringEquipmentType->scale: 0 measuringEquipmentType->reference: 0 measuringEquipmentType->width: 4 antennaType->code: '002101' antennaType->units: CODE TABLE antennaType->scale: 0 antennaType->reference: 0 antennaType->width: 4 3DbBeamwidth->code: '002106' 3DbBeamwidth->units: deg 3DbBeamwidth->scale: 1 3DbBeamwidth->reference: 0 3DbBeamwidth->width: 6 meanFrequency->code: '002121' meanFrequency->units: Hz meanFrequency->scale: -6 meanFrequency->reference: 0 meanFrequency->width: 11 rangeGateLength->code: '025001' rangeGateLength->units: m rangeGateLength->scale: 0 rangeGateLength->reference: 0 rangeGateLength->width: 11 meanSpeedEstimation->code: '025020' meanSpeedEstimation->units: CODE TABLE meanSpeedEstimation->scale: 0 meanSpeedEstimation->reference: 0 meanSpeedEstimation->width: 2 windComputationEnhancement->code: '025021' windComputationEnhancement->units: FLAG TABLE windComputationEnhancement->scale: 0 windComputationEnhancement->reference: 0 windComputationEnhancement->width: 8 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 timePeriod->code: '004025' timePeriod->units: min timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 height->code: '007007' height->units: m height->scale: 0 height->reference: -1000 height->width: 17 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windDirection->associatedField->code: 0 windDirection->associatedField->units: associated units windDirection->associatedField->scale: 0 windDirection->associatedField->reference: 0 windDirection->associatedField->width: 2 windDirection->associatedField->associatedFieldSignificance->code: '031021' windDirection->associatedField->associatedFieldSignificance->units: CODE TABLE windDirection->associatedField->associatedFieldSignificance->scale: 0 windDirection->associatedField->associatedFieldSignificance->reference: 0 windDirection->associatedField->associatedFieldSignificance->width: 6 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 w->code: '011006' w->units: m/s w->scale: 2 w->reference: -4096 w->width: 13 w->associatedField->code: 0 w->associatedField->units: associated units w->associatedField->scale: 0 w->associatedField->reference: 0 w->associatedField->width: 2 w->associatedField->associatedFieldSignificance->code: '031021' w->associatedField->associatedFieldSignificance->units: CODE TABLE w->associatedField->associatedFieldSignificance->scale: 0 w->associatedField->associatedFieldSignificance->reference: 0 w->associatedField->associatedFieldSignificance->width: 6 signalToNoiseRatio->code: '021030' signalToNoiseRatio->units: dB signalToNoiseRatio->scale: 0 signalToNoiseRatio->reference: -32 signalToNoiseRatio->width: 8 ecmwf-eccodes-python-b43a0f2/tests/sample-data/buoy-drifting.attributes0000664000175000017500000003546115172126764026574 0ustar alastairalastairmessageNumber: 1 marineObservingPlatformIdentifier->code: '001087' marineObservingPlatformIdentifier->units: Numeric marineObservingPlatformIdentifier->scale: 0 marineObservingPlatformIdentifier->reference: 0 marineObservingPlatformIdentifier->width: 23 longStationName->code: '001019' longStationName->units: CCITT IA5 longStationName->scale: 0 longStationName->reference: 0 longStationName->width: 256 dataBuoyType->code: '002149' dataBuoyType->units: CODE TABLE dataBuoyType->scale: 0 dataBuoyType->reference: 0 dataBuoyType->width: 6 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 platformTransmitterIdNumber->code: '001051' platformTransmitterIdNumber->units: CCITT IA5 platformTransmitterIdNumber->scale: 0 platformTransmitterIdNumber->reference: 0 platformTransmitterIdNumber->width: 96 dataCollectionLocationSystem->code: '002148' dataCollectionLocationSystem->units: CODE TABLE dataCollectionLocationSystem->scale: 0 dataCollectionLocationSystem->reference: 0 dataCollectionLocationSystem->width: 5 directionOfMotionOfMovingObservingPlatform->code: '001012' directionOfMotionOfMovingObservingPlatform->units: deg directionOfMotionOfMovingObservingPlatform->scale: 0 directionOfMotionOfMovingObservingPlatform->reference: 0 directionOfMotionOfMovingObservingPlatform->width: 9 platformDriftSpeed->code: '001014' platformDriftSpeed->units: m/s platformDriftSpeed->scale: 2 platformDriftSpeed->reference: 0 platformDriftSpeed->width: 10 qualityOfBuoySatelliteTransmission->code: '033022' qualityOfBuoySatelliteTransmission->units: CODE TABLE qualityOfBuoySatelliteTransmission->scale: 0 qualityOfBuoySatelliteTransmission->reference: 0 qualityOfBuoySatelliteTransmission->width: 2 qualityOfBuoyLocation->code: '033023' qualityOfBuoyLocation->units: CODE TABLE qualityOfBuoyLocation->scale: 0 qualityOfBuoyLocation->reference: 0 qualityOfBuoyLocation->width: 2 locationQualityClassRangeOfRadiusOf66Confidence->code: '033027' locationQualityClassRangeOfRadiusOf66Confidence->units: CODE TABLE locationQualityClassRangeOfRadiusOf66Confidence->scale: 0 locationQualityClassRangeOfRadiusOf66Confidence->reference: 0 locationQualityClassRangeOfRadiusOf66Confidence->width: 3 batteryVoltageLargeRange->code: '025026' batteryVoltageLargeRange->units: V batteryVoltageLargeRange->scale: 1 batteryVoltageLargeRange->reference: 0 batteryVoltageLargeRange->width: 12 drogueType->code: '002034' drogueType->units: CODE TABLE drogueType->scale: 0 drogueType->reference: 0 drogueType->width: 5 lagrangianDrifterDrogueStatus->code: '022060' lagrangianDrifterDrogueStatus->units: CODE TABLE lagrangianDrifterDrogueStatus->scale: 0 lagrangianDrifterDrogueStatus->reference: 0 lagrangianDrifterDrogueStatus->width: 3 drogueDepth->code: '007070' drogueDepth->units: m drogueDepth->scale: 0 drogueDepth->reference: 0 drogueDepth->width: 10 lagrangianDrifterSubmergenceTimeSubmerged->code: '002190' lagrangianDrifterSubmergenceTimeSubmerged->units: % lagrangianDrifterSubmergenceTimeSubmerged->scale: 0 lagrangianDrifterSubmergenceTimeSubmerged->reference: 0 lagrangianDrifterSubmergenceTimeSubmerged->width: 7 temperatureObservationPrecision->code: '002005' temperatureObservationPrecision->units: K temperatureObservationPrecision->scale: 2 temperatureObservationPrecision->reference: 0 temperatureObservationPrecision->width: 7 oceanographicWaterTemperature->code: '022043' oceanographicWaterTemperature->units: K oceanographicWaterTemperature->scale: 2 oceanographicWaterTemperature->reference: 0 oceanographicWaterTemperature->width: 15 methodOfSalinityOrDepthMeasurement->code: '002033' methodOfSalinityOrDepthMeasurement->units: CODE TABLE methodOfSalinityOrDepthMeasurement->scale: 0 methodOfSalinityOrDepthMeasurement->reference: 0 methodOfSalinityOrDepthMeasurement->width: 3 seaSurfaceSalinity->code: '022059' seaSurfaceSalinity->units: 0/00 seaSurfaceSalinity->scale: 2 seaSurfaceSalinity->reference: 0 seaSurfaceSalinity->width: 14 surfaceType->code: '008029' surfaceType->units: CODE TABLE surfaceType->scale: 0 surfaceType->reference: 0 surfaceType->width: 8 iceThickness->code: '013115' iceThickness->units: m iceThickness->scale: 2 iceThickness->reference: 0 iceThickness->width: 19 shortDelayedDescriptorReplicationFactor->code: '031000' shortDelayedDescriptorReplicationFactor->units: Numeric shortDelayedDescriptorReplicationFactor->scale: 0 shortDelayedDescriptorReplicationFactor->reference: 0 shortDelayedDescriptorReplicationFactor->width: 1 indicatorForDigitization->code: '002032' indicatorForDigitization->units: CODE TABLE indicatorForDigitization->scale: 0 indicatorForDigitization->reference: 0 indicatorForDigitization->width: 2 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 depthBelowWaterSurface->code: '007062' depthBelowWaterSurface->units: m depthBelowWaterSurface->scale: 1 depthBelowWaterSurface->reference: 0 depthBelowWaterSurface->width: 17 salinity->code: '022062' salinity->units: 0/00 salinity->scale: 2 salinity->reference: 0 salinity->width: 14 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 anemometerType->code: '002169' anemometerType->units: CODE TABLE anemometerType->scale: 0 anemometerType->reference: 0 anemometerType->width: 4 heightOfSensorAboveWaterSurface->code: '007033' heightOfSensorAboveWaterSurface->units: m heightOfSensorAboveWaterSurface->scale: 1 heightOfSensorAboveWaterSurface->reference: 0 heightOfSensorAboveWaterSurface->width: 12 timePeriod->code: '004025' timePeriod->units: min timePeriod->scale: 0 timePeriod->reference: -2048 timePeriod->width: 12 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 durationOfWaveRecord->code: '022078' durationOfWaveRecord->units: s durationOfWaveRecord->scale: 0 durationOfWaveRecord->reference: 0 durationOfWaveRecord->width: 12 significantWaveHeight->code: '022070' significantWaveHeight->units: m significantWaveHeight->scale: 2 significantWaveHeight->reference: 0 significantWaveHeight->width: 13 maximumWaveHeight->code: '022073' maximumWaveHeight->units: m maximumWaveHeight->scale: 2 maximumWaveHeight->reference: 0 maximumWaveHeight->width: 13 averageWavePeriod->code: '022074' averageWavePeriod->units: s averageWavePeriod->scale: 1 averageWavePeriod->reference: 0 averageWavePeriod->width: 9 spectralPeakWavePeriod->code: '022071' spectralPeakWavePeriod->units: s spectralPeakWavePeriod->scale: 1 spectralPeakWavePeriod->reference: 0 spectralPeakWavePeriod->width: 9 directionFromWhichDominantWavesAreComing->code: '022076' directionFromWhichDominantWavesAreComing->units: deg directionFromWhichDominantWavesAreComing->scale: 0 directionFromWhichDominantWavesAreComing->reference: 0 directionFromWhichDominantWavesAreComing->width: 9 directionalSpreadOfDominantWave->code: '022077' directionalSpreadOfDominantWave->units: deg directionalSpreadOfDominantWave->scale: 0 directionalSpreadOfDominantWave->reference: 0 directionalSpreadOfDominantWave->width: 9 messageNumber: 2 marineObservingPlatformIdentifier->code: '001087' marineObservingPlatformIdentifier->units: Numeric marineObservingPlatformIdentifier->scale: 0 marineObservingPlatformIdentifier->reference: 0 marineObservingPlatformIdentifier->width: 23 longStationName->code: '001019' longStationName->units: CCITT IA5 longStationName->scale: 0 longStationName->reference: 0 longStationName->width: 256 dataBuoyType->code: '002149' dataBuoyType->units: CODE TABLE dataBuoyType->scale: 0 dataBuoyType->reference: 0 dataBuoyType->width: 6 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 platformTransmitterIdNumber->code: '001051' platformTransmitterIdNumber->units: CCITT IA5 platformTransmitterIdNumber->scale: 0 platformTransmitterIdNumber->reference: 0 platformTransmitterIdNumber->width: 96 dataCollectionLocationSystem->code: '002148' dataCollectionLocationSystem->units: CODE TABLE dataCollectionLocationSystem->scale: 0 dataCollectionLocationSystem->reference: 0 dataCollectionLocationSystem->width: 5 directionOfMotionOfMovingObservingPlatform->code: '001012' directionOfMotionOfMovingObservingPlatform->units: deg directionOfMotionOfMovingObservingPlatform->scale: 0 directionOfMotionOfMovingObservingPlatform->reference: 0 directionOfMotionOfMovingObservingPlatform->width: 9 platformDriftSpeed->code: '001014' platformDriftSpeed->units: m/s platformDriftSpeed->scale: 2 platformDriftSpeed->reference: 0 platformDriftSpeed->width: 10 qualityOfBuoySatelliteTransmission->code: '033022' qualityOfBuoySatelliteTransmission->units: CODE TABLE qualityOfBuoySatelliteTransmission->scale: 0 qualityOfBuoySatelliteTransmission->reference: 0 qualityOfBuoySatelliteTransmission->width: 2 qualityOfBuoyLocation->code: '033023' qualityOfBuoyLocation->units: CODE TABLE qualityOfBuoyLocation->scale: 0 qualityOfBuoyLocation->reference: 0 qualityOfBuoyLocation->width: 2 locationQualityClassRangeOfRadiusOf66Confidence->code: '033027' locationQualityClassRangeOfRadiusOf66Confidence->units: CODE TABLE locationQualityClassRangeOfRadiusOf66Confidence->scale: 0 locationQualityClassRangeOfRadiusOf66Confidence->reference: 0 locationQualityClassRangeOfRadiusOf66Confidence->width: 3 batteryVoltageLargeRange->code: '025026' batteryVoltageLargeRange->units: V batteryVoltageLargeRange->scale: 1 batteryVoltageLargeRange->reference: 0 batteryVoltageLargeRange->width: 12 drogueType->code: '002034' drogueType->units: CODE TABLE drogueType->scale: 0 drogueType->reference: 0 drogueType->width: 5 lagrangianDrifterDrogueStatus->code: '022060' lagrangianDrifterDrogueStatus->units: CODE TABLE lagrangianDrifterDrogueStatus->scale: 0 lagrangianDrifterDrogueStatus->reference: 0 lagrangianDrifterDrogueStatus->width: 3 drogueDepth->code: '007070' drogueDepth->units: m drogueDepth->scale: 0 drogueDepth->reference: 0 drogueDepth->width: 10 lagrangianDrifterSubmergenceTimeSubmerged->code: '002190' lagrangianDrifterSubmergenceTimeSubmerged->units: % lagrangianDrifterSubmergenceTimeSubmerged->scale: 0 lagrangianDrifterSubmergenceTimeSubmerged->reference: 0 lagrangianDrifterSubmergenceTimeSubmerged->width: 7 temperatureObservationPrecision->code: '002005' temperatureObservationPrecision->units: K temperatureObservationPrecision->scale: 2 temperatureObservationPrecision->reference: 0 temperatureObservationPrecision->width: 7 oceanographicWaterTemperature->code: '022043' oceanographicWaterTemperature->units: K oceanographicWaterTemperature->scale: 2 oceanographicWaterTemperature->reference: 0 oceanographicWaterTemperature->width: 15 methodOfSalinityOrDepthMeasurement->code: '002033' methodOfSalinityOrDepthMeasurement->units: CODE TABLE methodOfSalinityOrDepthMeasurement->scale: 0 methodOfSalinityOrDepthMeasurement->reference: 0 methodOfSalinityOrDepthMeasurement->width: 3 seaSurfaceSalinity->code: '022059' seaSurfaceSalinity->units: 0/00 seaSurfaceSalinity->scale: 2 seaSurfaceSalinity->reference: 0 seaSurfaceSalinity->width: 14 surfaceType->code: '008029' surfaceType->units: CODE TABLE surfaceType->scale: 0 surfaceType->reference: 0 surfaceType->width: 8 iceThickness->code: '013115' iceThickness->units: m iceThickness->scale: 2 iceThickness->reference: 0 iceThickness->width: 19 shortDelayedDescriptorReplicationFactor->code: '031000' shortDelayedDescriptorReplicationFactor->units: Numeric shortDelayedDescriptorReplicationFactor->scale: 0 shortDelayedDescriptorReplicationFactor->reference: 0 shortDelayedDescriptorReplicationFactor->width: 1 nonCoordinatePressure->code: '010004' nonCoordinatePressure->units: Pa nonCoordinatePressure->scale: -1 nonCoordinatePressure->reference: 0 nonCoordinatePressure->width: 14 nonCoordinatePressure->differenceStatisticalValue->code: '225255' nonCoordinatePressure->differenceStatisticalValue->units: Pa nonCoordinatePressure->differenceStatisticalValue->scale: 0 nonCoordinatePressure->differenceStatisticalValue->reference: 0 nonCoordinatePressure->differenceStatisticalValue->width: 0 pressureReducedToMeanSeaLevel->code: '010051' pressureReducedToMeanSeaLevel->units: Pa pressureReducedToMeanSeaLevel->scale: -1 pressureReducedToMeanSeaLevel->reference: 0 pressureReducedToMeanSeaLevel->width: 14 pressureReducedToMeanSeaLevel->differenceStatisticalValue->code: '225255' pressureReducedToMeanSeaLevel->differenceStatisticalValue->units: Pa pressureReducedToMeanSeaLevel->differenceStatisticalValue->scale: 0 pressureReducedToMeanSeaLevel->differenceStatisticalValue->reference: 0 pressureReducedToMeanSeaLevel->differenceStatisticalValue->width: 0 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE defined by originating/generating centre generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 differenceStatistics->code: '008024' differenceStatistics->units: CODE TABLE differenceStatistics->scale: 0 differenceStatistics->reference: 0 differenceStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-noaa-20.attributes0000664000175000017500000002562015172126764025724 0ustar alastairalastairmessageNumber: 1 centre->code: '001033' centre->units: Common CODE TABLE C-1 centre->scale: 0 centre->reference: 0 centre->width: 8 subCentre->code: '001034' subCentre->units: Common CODE TABLE C-12 subCentre->scale: 0 subCentre->reference: 0 subCentre->width: 8 softwareVersionNumber->code: '025061' softwareVersionNumber->units: CCITT IA5 softwareVersionNumber->scale: 0 softwareVersionNumber->reference: 0 softwareVersionNumber->width: 96 databaseIdentification->code: '025062' databaseIdentification->units: Numeric databaseIdentification->scale: 0 databaseIdentification->reference: 0 databaseIdentification->width: 14 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 directionOfMotionOfMovingObservingPlatform->code: '001012' directionOfMotionOfMovingObservingPlatform->units: deg directionOfMotionOfMovingObservingPlatform->scale: 0 directionOfMotionOfMovingObservingPlatform->reference: 0 directionOfMotionOfMovingObservingPlatform->width: 9 crossTrackResolution->code: '002026' crossTrackResolution->units: m crossTrackResolution->scale: 2 crossTrackResolution->reference: 0 crossTrackResolution->width: 22 alongTrackResolution->code: '002027' alongTrackResolution->units: m alongTrackResolution->scale: 2 alongTrackResolution->reference: 0 alongTrackResolution->width: 22 segmentSizeAtNadirInXDirection->code: '002028' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002029' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 windProcessingMethod->code: '002161' windProcessingMethod->units: FLAG TABLE windProcessingMethod->scale: 0 windProcessingMethod->reference: 0 windProcessingMethod->width: 16 tracerCorrelationMethod->code: '002164' tracerCorrelationMethod->units: CODE TABLE tracerCorrelationMethod->scale: 0 tracerCorrelationMethod->reference: 0 tracerCorrelationMethod->width: 3 satelliteDerivedWindComputationMethod->code: '002023' satelliteDerivedWindComputationMethod->units: CODE TABLE satelliteDerivedWindComputationMethod->scale: 0 satelliteDerivedWindComputationMethod->reference: 0 satelliteDerivedWindComputationMethod->width: 4 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 dayOrNightQualifier->code: '008013' dayOrNightQualifier->units: CODE TABLE dayOrNightQualifier->scale: 0 dayOrNightQualifier->reference: 0 dayOrNightQualifier->width: 2 gridPointIdentifier->code: '001124' gridPointIdentifier->units: Numeric gridPointIdentifier->scale: 0 gridPointIdentifier->reference: 0 gridPointIdentifier->width: 24 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 timePeriod->code: '004086' timePeriod->units: s timePeriod->scale: 0 timePeriod->reference: -8192 timePeriod->width: 15 extendedHeightAssignmentMethod->code: '002162' extendedHeightAssignmentMethod->units: CODE TABLE extendedHeightAssignmentMethod->scale: 0 extendedHeightAssignmentMethod->reference: 0 extendedHeightAssignmentMethod->width: 6 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 u->code: ['011003', '011003', '011003', '011003', '011003', '011095', '011095', '011095', '011003'] u->units: ['m/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s'] u->scale: [1, 1, 1, 1, 1, 1, 1, 1, 1] u->reference: [-4096, -4096, -4096, -4096, -4096, -4096, -4096, -4096, -4096] u->width: [13, 13, 13, 13, 13, 13, 13, 13, 13] v->code: ['011004', '011004', '011004', '011004', '011004', '011096', '011096', '011096', '011004'] v->units: ['m/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s', 'm/s'] v->scale: [1, 1, 1, 1, 1, 1, 1, 1, 1] v->reference: [-4096, -4096, -4096, -4096, -4096, -4096, -4096, -4096, -4096] v->width: [13, 13, 13, 13, 13, 13, 13, 13, 13] airTemperature->code: '012001' airTemperature->units: K airTemperature->scale: 1 airTemperature->reference: 0 airTemperature->width: 12 heightOfTopOfCloud->code: '020014' heightOfTopOfCloud->units: m heightOfTopOfCloud->scale: -1 heightOfTopOfCloud->reference: -40 heightOfTopOfCloud->width: 11 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 observationSequenceNumber->code: '001023' observationSequenceNumber->units: Numeric observationSequenceNumber->scale: 0 observationSequenceNumber->reference: 0 observationSequenceNumber->width: 9 delayedDescriptorReplicationFactor->code: '031001' delayedDescriptorReplicationFactor->units: Numeric delayedDescriptorReplicationFactor->scale: 0 delayedDescriptorReplicationFactor->reference: 0 delayedDescriptorReplicationFactor->width: 8 satelliteClassification->code: '002020' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 satelliteInstruments->code: '002019' satelliteInstruments->units: CODE TABLE satelliteInstruments->scale: 0 satelliteInstruments->reference: 0 satelliteInstruments->width: 11 channelNumber->code: '005042' channelNumber->units: Numeric channelNumber->scale: 0 channelNumber->reference: 0 channelNumber->width: 6 orbitNumber->code: '005040' orbitNumber->units: Numeric orbitNumber->scale: 0 orbitNumber->reference: 0 orbitNumber->width: 24 bearingOrAzimuth->code: '005021' bearingOrAzimuth->units: deg bearingOrAzimuth->scale: 2 bearingOrAzimuth->reference: 0 bearingOrAzimuth->width: 16 trackingCorrelationOfVector->code: '011113' trackingCorrelationOfVector->units: Numeric trackingCorrelationOfVector->scale: 3 trackingCorrelationOfVector->reference: -1000 trackingCorrelationOfVector->width: 12 coefficientOfVariation->code: '025148' coefficientOfVariation->units: Numeric coefficientOfVariation->scale: 2 coefficientOfVariation->reference: -10000 coefficientOfVariation->width: 15 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 xAxisErrorEllipseMajorComponent->code: '020111' xAxisErrorEllipseMajorComponent->units: m xAxisErrorEllipseMajorComponent->scale: -1 xAxisErrorEllipseMajorComponent->reference: 0 xAxisErrorEllipseMajorComponent->width: 17 yAxisErrorEllipseMinorComponent->code: '020112' yAxisErrorEllipseMinorComponent->units: m yAxisErrorEllipseMinorComponent->scale: -1 yAxisErrorEllipseMinorComponent->reference: 0 yAxisErrorEllipseMinorComponent->width: 17 angleOfXAxisInErrorEllipse->code: '020114' angleOfXAxisInErrorEllipse->units: deg angleOfXAxisInErrorEllipse->scale: 2 angleOfXAxisInErrorEllipse->reference: -18000 angleOfXAxisInErrorEllipse->width: 16 timeSignificance->code: '008021' timeSignificance->units: CODE TABLE timeSignificance->scale: 0 timeSignificance->reference: 0 timeSignificance->width: 5 verticalSignificanceForNwp->code: '008086' verticalSignificanceForNwp->units: FLAG TABLE verticalSignificanceForNwp->scale: 0 verticalSignificanceForNwp->reference: 0 verticalSignificanceForNwp->width: 12 standardGeneratingApplication->code: '001044' standardGeneratingApplication->units: CODE TABLE standardGeneratingApplication->scale: 0 standardGeneratingApplication->reference: 0 standardGeneratingApplication->width: 8 percentConfidence->code: '033007' percentConfidence->units: % percentConfidence->scale: 0 percentConfidence->reference: 0 percentConfidence->width: 7 measurementUncertaintyExpression->code: '008092' measurementUncertaintyExpression->units: CODE TABLE measurementUncertaintyExpression->scale: 0 measurementUncertaintyExpression->reference: 0 measurementUncertaintyExpression->width: 5 amvQualityFlag->code: '033066' amvQualityFlag->units: FLAG TABLE amvQualityFlag->scale: 0 amvQualityFlag->reference: 0 amvQualityFlag->width: 24 cloudAmountInSegment->code: '020081' cloudAmountInSegment->units: % cloudAmountInSegment->scale: 0 cloudAmountInSegment->reference: 0 cloudAmountInSegment->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 cloudPhase->code: '020056' cloudPhase->units: CODE TABLE cloudPhase->scale: 0 cloudPhase->reference: 0 cloudPhase->width: 3 pressureAtTopOfCloud->code: '020016' pressureAtTopOfCloud->units: Pa pressureAtTopOfCloud->scale: -1 pressureAtTopOfCloud->reference: 0 pressureAtTopOfCloud->width: 14 verticalSignificanceSatelliteObservations->code: '008003' verticalSignificanceSatelliteObservations->units: CODE TABLE verticalSignificanceSatelliteObservations->scale: 0 verticalSignificanceSatelliteObservations->reference: 0 verticalSignificanceSatelliteObservations->width: 6 optimalEstimationCost->code: '025149' optimalEstimationCost->units: Numeric optimalEstimationCost->scale: 0 optimalEstimationCost->reference: 0 optimalEstimationCost->width: 8 cloudOpticalThickness->code: '013093' cloudOpticalThickness->units: Numeric cloudOpticalThickness->scale: 0 cloudOpticalThickness->reference: 0 cloudOpticalThickness->width: 8 iceOrLiquidWaterPath->code: '013109' iceOrLiquidWaterPath->units: kg m-2 iceOrLiquidWaterPath->scale: 3 iceOrLiquidWaterPath->reference: 0 iceOrLiquidWaterPath->width: 10 cloudParticleSize->code: '040038' cloudParticleSize->units: m cloudParticleSize->scale: 7 cloudParticleSize->reference: 0 cloudParticleSize->width: 28 meteorologicalFeature->code: '008011' meteorologicalFeature->units: CODE TABLE meteorologicalFeature->scale: 0 meteorologicalFeature->reference: 0 meteorologicalFeature->width: 6 emissivity->code: '014050' emissivity->units: % emissivity->scale: 1 emissivity->reference: 0 emissivity->width: 10 ecmwf-eccodes-python-b43a0f2/tests/sample-data/ahi-himawari-8.items0000664000175000017500000011153515172126764025447 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 189 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 15 typicalMonth 12 typicalDay 31 typicalHour 21 typicalMinute 53 typicalDate 20151231 typicalTime 215300 rdbType 3 oldSubtype 189 localYear 2015 localMonth 12 localDay 31 localHour 21 localMinute 53 localSecond 6 rdbtimeDay 1 rdbtimeHour 22 rdbtimeMinute 40 rdbtimeSecond 56 rdbtimeTime 224056 rectimeDay 10 rectimeHour 10 rectimeMinute 0 rectimeSecond 0 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 64 localLongitude1 137.85365 localLatitude1 17.30117 localLongitude2 157.99885 localLatitude2 17.46224 localNumberOfObservations 64 satelliteID 173 observedData 1 compressedData 1 unexpandedDescriptors [310023 224000 236000 101185 31031 1031 1032 8023 101010 224255] satelliteIdentifier [173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173] centre [[34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34] [34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34 34]] satelliteClassification [273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273 273] segmentSizeAtNadirInXDirection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] segmentSizeAtNadirInYDirection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] year [2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015] month [12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12] day [31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31 31] hour [21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21] minute [53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53] second [5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8] latitude [17.30558 17.30468 17.30389 17.3032 17.30261 17.30212 17.30174 17.30145 17.30126 17.30117 17.30118 17.3013 17.30151 17.30182 17.30224 17.30275 17.30336 17.30408 17.3049 17.30582 17.30683 17.30796 17.30918 17.3105 17.31192 17.31345 17.31681 17.31864 17.32057 17.32261 17.32475 17.327 17.32935 17.3318 17.33436 17.33703 17.33979 17.34267 17.34565 17.34873 17.35523 17.35864 17.36216 17.36579 17.36953 17.37337 17.37733 17.3814 17.38558 17.38988 17.39428 17.39881 17.40344 17.4082 17.41306 17.41805 17.42315 17.42837 17.43371 17.43917 17.44476 17.45046 17.45629 17.46224] longitude [137.85365 138.15761 138.46144 138.76519 139.06885 139.3724 139.6759 139.97939 140.28281 140.58624 140.88962 141.19306 141.49648 141.79995 142.1035 142.40708 142.71075 143.0145 143.31838 143.62235 143.92648 144.23075 144.53518 144.83978 145.1446 145.4496 146.06028 146.36598 146.67198 146.97822 147.28476 147.59161 147.89878 148.2063 148.51418 148.8224 149.13105 149.44008 149.74951 150.05939 150.68052 150.99181 151.3036 151.6159 151.92872 152.2421 152.55605 152.8706 153.18574 153.50151 153.81792 154.135 154.45275 154.77119 155.09038 155.4103 155.73098 156.05244 156.3747 156.69778 157.02172 157.34652 157.67222 157.99885] numberOfPixelsPerRow [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] numberOfPixelsPerColumn [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] landOrSeaQualifier [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] satelliteZenithAngle [20.45 20.39 20.35 20.3 20.27 20.24 20.21 20.2 20.18 20.18 20.18 20.19 20.2 20.22 20.24 20.28 20.31 20.36 20.41 20.46 20.52 20.59 20.66 20.74 20.83 20.92 21.12 21.23 21.34 21.46 21.58 21.71 21.84 21.98 22.13 22.28 22.43 22.59 22.75 22.92 23.27 23.45 23.64 23.83 24.02 24.22 24.42 24.63 24.84 25.06 25.27 25.5 25.72 25.95 26.19 26.42 26.66 26.91 27.15 27.4 27.66 27.91 28.17 28.44] solarZenithAngle [94.81 94.54 94.27 94. 93.74 93.47 93.2 92.94 92.67 92.41 92.14 91.87 91.61 91.34 91.08 90.81 90.55 90.28 90.02 89.76 89.49 89.23 88.96 88.7 88.44 88.17 87.65 87.38 87.12 86.86 86.59 86.33 86.06 85.8 85.54 85.27 85.01 84.75 84.48 84.22 83.69 83.43 83.16 82.9 82.63 82.37 82.11 81.84 81.58 81.31 81.04 80.78 80.51 80.25 79.98 79.71 79.45 79.18 78.91 78.65 78.38 78.11 77.84 77.57] nonCoordinateHeight [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] satelliteChannelCentreFrequency [[77160700000000.0 77160700000000.0 77160700000000.0 ... 77160700000000.0 77160700000000.0 77160700000000.0] [48021300000000.0 48021300000000.0 48021300000000.0 ... 48021300000000.0 48021300000000.0 48021300000000.0] [43191500000000.0 43191500000000.0 43191500000000.0 ... 43191500000000.0 43191500000000.0 43191500000000.0] ... [22573500000000.0 22573500000000.0 22573500000000.0 ... 22573500000000.0 22573500000000.0 22573500000000.0] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] satelliteChannelBandWidth [[-- -- -- ... -- -- --] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --] ... [0.0 0.0 0.0 ... 0.0 0.0 0.0] [-- -- -- ... -- -- --] [-- -- -- ... -- -- --]] cloudAmountInSegment [[58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 26 46 21 45 49 26 85 49 4 0 0 50 77 22 69 35 43 55 66 49 6 16 11 2 0 0 0 11 36] [0 0 0 1 0 0 0 0 0 0 4 6 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 1 32 56 29 52 58 33 89 50 4 1 0 54 92 41 80 66 83 70 76 62 20 40 37 6 0 0 1 16 45] [17 18 3 8 0 0 6 4 1 1 24 33 43 19 0 3 0 0 0 0 2 0 0 0 0 0 29 0 4 18 2 6 6 47 3 47 81 64 87 98 67 100 57 13 4 1 74 100 84 100 100 100 100 100 100 98 87 83 40 13 5 20 42 76] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [58 47 17 18 18 3 18 35 18 19 37 45 49 19 0 3 0 0 0 17 18 2 2 0 0 0 29 0 4 18 2 6 6 47 3 47 81 67 90 98 90 100 71 43 51 35 92 100 95 100 100 100 100 100 100 98 93 88 51 45 39 50 63 85] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] amountSegmentCloudFree [[42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [100 100 100 100 100 100 100 100 100 100 100 98 100 98 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 92 100 74 54 79 55 51 74 15 51 96 100 100 50 23 78 31 65 57 45 34 51 94 84 89 98 100 100 100 89 64] [100 100 100 99 100 100 100 100 100 100 96 94 100 96 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 85 99 68 44 71 48 42 67 11 50 96 99 100 46 8 59 20 34 17 30 24 38 80 60 63 94 100 100 99 84 55] [83 82 97 92 100 100 94 96 99 99 76 67 57 81 100 97 100 100 100 100 98 100 100 100 100 100 71 100 96 82 98 94 94 53 97 53 19 36 13 2 33 0 43 87 96 99 26 0 16 0 0 0 0 0 0 2 13 17 60 87 95 80 58 24] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [42 53 83 82 82 97 82 65 82 81 63 55 51 81 100 97 100 100 100 83 82 98 98 100 100 100 71 100 96 82 98 94 94 53 97 53 19 33 10 2 10 0 29 57 49 65 8 0 5 0 0 0 0 0 0 2 7 12 49 55 61 50 37 15] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] cloudType [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] satelliteInstrumentUsedInDataProcessing [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] meanHumidityComputationalMethod [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] pressure [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] relativeHumidity [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] radianceType [[2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] radianceComputationalMethod [[2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] spectralRadiance [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] radiance [[-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] brightnessTemperature [[297.40000000000003 297.5 297.6 297.6 297.8 297.7 297.5 297.5 297.7 297.7 297.5 297.6 297.40000000000003 297.6 297.6 297.7 297.90000000000003 298.0 297.90000000000003 297.90000000000003 298.0 298.1 298.1 298.0 297.90000000000003 297.90000000000003 298.0 298.0 298.0 297.90000000000003 297.90000000000003 297.90000000000003 297.8 297.6 297.6 297.6 297.5 297.6 297.40000000000003 297.0 297.3 -- 297.40000000000003 297.40000000000003 297.6 297.6 297.3 -- 297.40000000000003 -- -- -- -- -- -- 297.5 297.2 297.1 297.3 297.40000000000003 297.3 297.2 297.2 297.3] [251.4 251.60000000000002 251.3 251.0 250.20000000000002 249.70000000000002 249.3 249.0 248.3 247.4 246.9 247.4 248.20000000000002 248.9 250.10000000000002 250.60000000000002 250.4 250.10000000000002 249.4 248.70000000000002 248.10000000000002 247.5 246.60000000000002 246.60000000000002 247.20000000000002 247.9 249.3 249.0 248.8 248.60000000000002 248.4 248.5 248.9 248.3 248.4 248.5 248.5 249.0 249.10000000000002 249.4 249.3 249.10000000000002 249.10000000000002 248.70000000000002 248.5 249.10000000000002 248.0 247.0 248.3 249.3 251.10000000000002 250.60000000000002 249.5 249.10000000000002 248.8 249.5 250.8 250.9 250.9 250.8 250.4 249.60000000000002 249.5 250.10000000000002] [261.7 262.0 261.8 261.6 261.1 260.90000000000003 260.6 260.40000000000003 259.90000000000003 259.0 258.6 259.40000000000003 260.2 261.0 262.2 262.7 262.7 262.6 262.40000000000003 262.1 261.7 261.3 260.6 260.7 261.2 261.8 263.1 262.90000000000003 262.6 262.40000000000003 262.3 262.5 262.8 262.1 262.3 262.5 262.5 262.90000000000003 262.8 263.0 262.8 262.8 263.0 262.8 262.8 263.40000000000003 262.6 261.40000000000003 262.8 263.5 264.90000000000003 264.40000000000003 264.0 264.0 263.2 264.0 265.2 265.2 265.2 265.3 265.2 264.40000000000003 264.40000000000003 264.7] [268.0 268.40000000000003 268.5 268.5 268.5 268.5 268.5 268.40000000000003 268.2 267.8 267.6 268.5 268.8 269.40000000000003 270.2 270.90000000000003 271.1 271.1 271.2 271.3 271.40000000000003 271.1 270.7 270.90000000000003 271.0 271.3 271.90000000000003 271.90000000000003 271.7 271.7 271.5 271.90000000000003 271.8 271.1 270.90000000000003 270.8 270.6 271.2 270.90000000000003 270.7 270.8 -- 271.1 271.40000000000003 271.5 272.0 271.5 -- 271.6 -- -- -- -- -- -- 272.1 272.8 272.3 272.6 272.90000000000003 273.0 272.3 272.3 272.5] [293.1 293.3 293.5 293.6 294.1 294.1 293.7 293.5 293.8 293.90000000000003 293.40000000000003 293.5 293.7 293.90000000000003 294.3 294.8 294.90000000000003 294.90000000000003 294.8 294.7 294.6 294.90000000000003 294.90000000000003 295.1 294.90000000000003 294.90000000000003 294.6 295.1 294.8 294.7 294.7 294.8 294.5 294.1 294.0 293.5 292.90000000000003 293.40000000000003 292.8 291.2 292.5 -- 293.2 293.6 293.8 293.90000000000003 293.3 -- 292.90000000000003 -- -- -- -- -- -- 292.40000000000003 292.8 292.5 293.0 293.3 293.40000000000003 293.0 293.0 293.2] [274.7 274.8 275.0 275.1 275.5 275.5 275.2 275.1 275.3 275.3 275.0 275.0 274.90000000000003 275.1 275.3 275.5 275.6 275.6 275.40000000000003 275.3 275.3 275.40000000000003 275.40000000000003 275.5 275.3 275.3 275.1 275.40000000000003 275.2 275.1 275.1 275.1 275.0 274.8 274.8 274.5 274.1 274.3 274.0 273.5 273.8 -- 274.2 274.40000000000003 274.40000000000003 274.40000000000003 274.1 -- 273.90000000000003 -- -- -- -- -- -- 273.5 273.5 273.40000000000003 273.6 273.6 273.5 273.3 273.3 273.40000000000003] [295.3 295.6 295.8 296.0 296.5 296.5 296.1 295.90000000000003 296.2 296.2 295.7 295.8 295.90000000000003 296.1 296.5 297.0 297.2 297.2 297.0 296.8 296.7 296.90000000000003 297.0 297.2 297.0 297.0 296.7 297.2 296.90000000000003 296.8 296.7 296.8 296.5 296.1 296.0 295.40000000000003 294.90000000000003 295.3 294.8 293.6 294.40000000000003 -- 295.0 295.5 295.7 295.8 295.3 -- 294.7 -- -- -- -- -- -- 294.40000000000003 294.6 294.3 294.8 295.1 295.2 294.8 294.7 294.8] [294.6 294.90000000000003 295.2 295.40000000000003 296.1 296.1 295.6 295.40000000000003 295.7 295.7 295.1 295.2 295.40000000000003 295.7 296.2 296.90000000000003 297.1 297.0 296.7 296.6 296.5 296.8 296.8 297.1 296.8 296.8 296.5 297.1 296.7 296.6 296.5 296.6 296.2 295.7 295.5 294.8 294.1 294.6 294.1 292.6 293.6 -- 294.5 295.1 295.3 295.40000000000003 294.8 -- 294.0 -- -- -- -- -- -- 293.7 293.90000000000003 293.5 294.1 294.6 294.8 294.3 294.1 294.2] [291.3 291.7 292.0 292.2 292.90000000000003 293.0 292.6 292.40000000000003 292.6 292.6 292.0 292.2 292.40000000000003 292.7 293.40000000000003 294.2 294.5 294.3 294.0 293.90000000000003 293.90000000000003 294.1 294.2 294.40000000000003 294.1 294.1 293.90000000000003 294.5 294.0 294.0 293.90000000000003 294.0 293.40000000000003 292.8 292.6 291.8 291.2 291.7 291.2 289.8 290.6 -- 291.7 292.40000000000003 292.6 292.6 292.0 -- 291.3 -- -- -- -- -- -- 291.2 291.2 290.7 291.3 291.90000000000003 292.3 291.6 291.3 291.40000000000003] [277.1 277.40000000000003 277.6 277.8 278.2 278.3 278.1 278.0 278.1 278.1 277.7 277.90000000000003 278.0 278.3 278.7 279.3 279.5 279.3 279.1 279.1 279.2 279.2 279.2 279.40000000000003 279.2 279.2 279.1 279.5 279.2 279.2 279.1 279.2 278.8 278.3 278.2 277.7 277.3 277.7 277.40000000000003 276.40000000000003 277.0 -- 277.7 278.1 278.2 278.3 277.90000000000003 -- 277.3 -- -- -- -- -- -- 276.6 276.90000000000003 276.40000000000003 276.90000000000003 277.40000000000003 277.6 277.2 277.1 277.3] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] brightnessTemperature->firstOrderStatisticalValue [[0.2 0.30000000000000004 0.1 0.2 0.0 0.1 0.2 0.2 0.1 0.1 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.0 0.0 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.1 0.0 0.1 0.1 0.1 0.1 0.0 0.1 0.2 0.1 0.2 0.2 0.2 -- 0.1 0.1 0.1 0.1 0.1 -- 0.2 -- -- -- -- -- -- 0.2 0.1 0.1 0.1 0.1 0.2 0.2 0.1 0.1] [0.30000000000000004 0.2 0.1 0.4 0.5 0.2 0.30000000000000004 0.4 0.6000000000000001 0.6000000000000001 0.2 0.30000000000000004 0.30000000000000004 0.6000000000000001 0.5 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.4 0.4 0.2 0.4 0.4 0.2 0.2 0.2 0.30000000000000004 0.4 0.4 0.5 0.30000000000000004 0.4 0.2 0.5 0.2 0.1 0.2 0.30000000000000004 0.2 0.2 0.6000000000000001 0.4 0.2 0.2 0.2 0.2 0.9 0.6000000000000001 0.5 0.4 0.4 0.7000000000000001 0.7000000000000001 0.8 1.0 1.0 0.5 0.1 0.2 0.2 0.5 0.30000000000000004 0.30000000000000004 0.2] [0.30000000000000004 0.2 0.1 0.30000000000000004 0.30000000000000004 0.1 0.1 0.30000000000000004 0.5 0.6000000000000001 0.30000000000000004 0.4 0.4 0.7000000000000001 0.5 0.1 0.2 0.1 0.2 0.2 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.2 0.30000000000000004 0.4 0.4 0.4 0.2 0.4 0.1 0.5 0.2 0.1 0.1 0.2 0.2 0.2 0.4 0.2 0.1 0.1 0.2 0.2 0.8 0.6000000000000001 0.4 0.30000000000000004 0.30000000000000004 0.7000000000000001 0.6000000000000001 0.7000000000000001 1.1 0.9 0.5 0.2 0.30000000000000004 0.2 0.30000000000000004 0.2 0.2 0.1] [0.4 0.1 0.0 0.1 0.1 0.1 0.0 0.1 0.2 0.30000000000000004 0.2 0.30000000000000004 0.30000000000000004 0.5 0.5 0.2 0.1 0.2 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.2 0.2 0.30000000000000004 0.2 0.2 0.1 0.30000000000000004 0.2 0.2 0.2 0.1 0.1 0.2 0.30000000000000004 0.1 0.30000000000000004 -- 0.1 0.2 0.1 0.1 0.5 -- 0.30000000000000004 -- -- -- -- -- -- 0.5 0.30000000000000004 0.2 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.2 0.1] [0.4 0.4 0.2 0.30000000000000004 0.1 0.2 0.30000000000000004 0.4 0.2 0.2 0.4 0.7000000000000001 0.30000000000000004 0.4 0.2 0.30000000000000004 0.2 0.30000000000000004 0.2 0.30000000000000004 0.4 0.2 0.2 0.0 0.1 0.0 0.4 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.2 0.30000000000000004 0.2 0.4 0.7000000000000001 0.5 0.7000000000000001 0.8 0.5 -- 0.30000000000000004 0.2 0.30000000000000004 0.30000000000000004 0.30000000000000004 -- 0.4 -- -- -- -- -- -- 0.9 0.4 0.6000000000000001 0.6000000000000001 0.4 0.5 0.4 0.30000000000000004 0.2] [0.2 0.2 0.1 0.2 0.1 0.1 0.2 0.2 0.1 0.1 0.30000000000000004 0.30000000000000004 0.2 0.2 0.1 0.2 0.1 0.1 0.1 0.2 0.2 0.1 0.1 0.0 0.1 0.0 0.30000000000000004 0.1 0.2 0.2 0.1 0.1 0.1 0.2 0.1 0.2 0.4 0.2 0.5 0.30000000000000004 0.30000000000000004 -- 0.1 0.1 0.2 0.1 0.1 -- 0.1 -- -- -- -- -- -- 0.30000000000000004 0.2 0.30000000000000004 0.30000000000000004 0.2 0.30000000000000004 0.2 0.2 0.1] [0.2 0.30000000000000004 0.2 0.30000000000000004 0.2 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.4 0.6000000000000001 0.30000000000000004 0.30000000000000004 0.2 0.30000000000000004 0.2 0.2 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.1 0.2 0.0 0.4 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.2 0.30000000000000004 0.2 0.30000000000000004 0.6000000000000001 0.4 0.6000000000000001 0.5 0.4 -- 0.2 0.2 0.30000000000000004 0.2 0.2 -- 0.30000000000000004 -- -- -- -- -- -- 0.7000000000000001 0.4 0.5 0.5 0.30000000000000004 0.5 0.4 0.30000000000000004 0.2] [0.30000000000000004 0.4 0.2 0.4 0.2 0.2 0.4 0.4 0.2 0.2 0.4 0.7000000000000001 0.30000000000000004 0.4 0.2 0.4 0.2 0.30000000000000004 0.2 0.4 0.4 0.2 0.2 0.1 0.2 0.1 0.5 0.2 0.30000000000000004 0.4 0.30000000000000004 0.2 0.30000000000000004 0.4 0.30000000000000004 0.4 0.7000000000000001 0.5 0.8 0.8 0.5 -- 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.2 -- 0.4 -- -- -- -- -- -- 1.0 0.4 0.7000000000000001 0.6000000000000001 0.4 0.6000000000000001 0.4 0.4 0.30000000000000004] [0.2 0.30000000000000004 0.2 0.30000000000000004 0.2 0.2 0.2 0.30000000000000004 0.2 0.2 0.4 0.6000000000000001 0.30000000000000004 0.30000000000000004 0.30000000000000004 0.5 0.30000000000000004 0.30000000000000004 0.2 0.30000000000000004 0.30000000000000004 0.2 0.2 0.1 0.2 0.1 0.5 0.2 0.30000000000000004 0.4 0.2 0.2 0.30000000000000004 0.4 0.30000000000000004 0.30000000000000004 0.6000000000000001 0.4 0.8 0.4 0.4 -- 0.30000000000000004 0.30000000000000004 0.2 0.2 0.2 -- 0.2 -- -- -- -- -- -- 0.7000000000000001 0.4 0.6000000000000001 0.6000000000000001 0.4 0.6000000000000001 0.4 0.4 0.2] [0.1 0.2 0.1 0.2 0.2 0.1 0.1 0.2 0.1 0.1 0.2 0.4 0.2 0.2 0.2 0.30000000000000004 0.2 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.30000000000000004 0.1 0.2 0.2 0.2 0.1 0.2 0.30000000000000004 0.2 0.2 0.30000000000000004 0.30000000000000004 0.4 0.30000000000000004 0.2 -- 0.2 0.2 0.2 0.2 0.1 -- 0.2 -- -- -- -- -- -- 0.6000000000000001 0.4 0.4 0.5 0.4 0.5 0.4 0.4 0.1] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] generatingApplication [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] firstOrderStatistics [10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10] ecmwf-eccodes-python-b43a0f2/tests/sample-data/geos-mviri-meteosat-7.items0000664000175000017500000001177215172126764027010 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 89 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 13 typicalMonth 1 typicalDay 31 typicalHour 22 typicalMinute 0 typicalDate 20130131 typicalTime 220000 numberOfSubsets 3 observedData 1 compressedData 1 unexpandedDescriptors [ 1007 1031 2196 2221 2222 4001 4002 4003 4004 4005 4006 5001 6001 7024 10002 2252 2023 7004 11001 11002 2197 2198 12193 2197 2198 20193 20194 20012 2197 2198 20193 20194 20012 2197 2198 20193 20194 20012 2197 2198 20193 20194 20012 2197 2198 20193 20194 20012 2197 2198 20193 20194 20012 2252 2199 7004 7004 13003 2252 2254 2251 2197 2198 12195 12196 12063 2252 2254 2251 2197 2198 12195 12196 12063 2252 2254 2251 2197 2198 12195 12196 12063 2252 2254 2251 2197 2198 12195 12196 12063 2252 2254 2251 2197 2198 12195 12196 12063 2252 2254 2251 2197 2198 12195 12196 12063 222000 236000 101106 31031 1031 1032 33007 33007 33007 33007 33007 33007 33007 222000 237000 1031 1032 33252 33252 33252 33252 33252 33252 33252 224000 237000 1031 1032 8023 224255 224255 224255 224255 224255 224255 224255] satelliteIdentifier [54 54 54] centre [[254 254 254] [254 254 254] [254 254 254] [254 254 254]] satelliteClassification [331 331 331] segmentSizeAtNadirInXDirection [80000 80000 80000] segmentSizeAtNadirInYDirection [80000 80000 80000] year [2013 2013 2013] month [1 1 1] day [31 31 31] hour [22 22 22] minute [0 0 0] second [0 0 0] latitude [33.6097 34.44459 34.59138] longitude [4.80789 5.5166 3.71097] satelliteZenithAngle [62.12 62.12 62.12] nonCoordinateHeight [-- -- --] satelliteInstrumentDataUsedInProcessing [[-- -- --] [4194304 4194304 4194304] [4194304 4194304 4194304] [4194304 4194304 4194304] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] satelliteDerivedWindComputationMethod [-- -- --] pressure [[-- -- --] [60000.0 60000.0 60000.0] [30000.0 30000.0 30000.0]] windDirection [-- -- --] windSpeed [-- -- --] satelliteChannelCentreFrequency [[-- -- --] [47600000000000.0 47600000000000.0 47600000000000.0] [26500000000000.0 26500000000000.0 26500000000000.0] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [47600000000000.0 47600000000000.0 47600000000000.0] [26500000000000.0 26500000000000.0 26500000000000.0] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] satelliteChannelBandWidth [[-- -- --] [7600000000000.0 7600000000000.0 7600000000000.0] [3090000000000.0 3090000000000.0 3090000000000.0] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [7600000000000.0 7600000000000.0 7600000000000.0] [3090000000000.0 3090000000000.0 3090000000000.0] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] coldestClusterTemperature [-- -- --] cloudAmountInSegment [[35 8 61] [35 8 61] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] amountOfSegmentCloudFree [[65 92 39] [65 92 39] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] cloudType [[-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] meanHumidityComputationalMethod [1 1 1] relativeHumidity [21 22 20] relativeHumidity->firstOrderStatisticalValue [-- -- --] relativeHumidity->manualAutomaticQualityControl [0 0 0] relativeHumidity->percentConfidence [100 100 100] radianceType [[2 2 2] [2 2 2] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] radianceComputationalMethod [[2 2 2] [2 2 2] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] spectralRadiance [[-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] spectralRadiance->firstOrderStatisticalValue [[-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] spectralRadiance->manualAutomaticQualityControl [[3 3 3] [0 3 3] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] spectralRadiance->percentConfidence [[30 12 45] [81 5 9] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] radiance [[1.014 1.006 1.024] [10.816 11.044 10.994] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] radiance->firstOrderStatisticalValue [[-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] radiance->manualAutomaticQualityControl [[3 3 3] [0 3 3] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] radiance->percentConfidence [[30 12 45] [81 5 9] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] brightnessTemperature [[241.9 241.70000000000002 242.20000000000002] [274.1 275.3 275.0] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] brightnessTemperature->firstOrderStatisticalValue [[0.7000000000000001 0.9 0.5] [0.5 1.4000000000000001 1.1] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] brightnessTemperature->manualAutomaticQualityControl [[0 0 0] [0 0 0] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] brightnessTemperature->percentConfidence [[30 12 45] [81 5 9] [-- -- --] [-- -- --] [-- -- --] [-- -- --]] generatingApplication [[1 1 1] [1 1 1] [1 1 1]] firstOrderStatistics [10 10 10] ecmwf-eccodes-python-b43a0f2/tests/sample-data/saral-altika.items0000664000175000017500000017037215172126764025313 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 12 dataSubCategory 218 masterTablesVersionNumber 19 localTablesVersionNumber 1 typicalYearOfCentury 20 typicalMonth 9 typicalDay 14 typicalHour 11 typicalMinute 40 typicalDate 20200914 typicalTime 114000 rdbType 12 oldSubtype 218 localYear 2020 localMonth 9 localDay 14 localHour 11 localMinute 40 localSecond 0 rdbtimeDay 17 rdbtimeHour 17 rdbtimeMinute 23 rdbtimeSecond 27 rdbtimeTime 172327 rectimeDay 17 rectimeHour 17 rectimeMinute 23 rectimeSecond 27 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 128 localLongitude1 -126.46775 localLatitude1 70.09178 localLongitude2 -110.64164 localLatitude2 76.81682 localNumberOfObservations 128 satelliteID 441 observedData 1 compressedData 1 unexpandedDescriptors [340011] satelliteIdentifier [441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441 441] satelliteInstruments [368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368 368] stationAcquisition ['x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 'x�\x1c\x13oryUNKOWN' 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480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 256 480 480 480 480 480 256 480 480 480 480 480 480 480 480 480 480 256 256 256 256 480 0 0 0 0 480 0 0 256 480 256 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 480 256] bandSpecificAltimeterCorrectionQualityFlag [448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 0 0 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 448 0 0 0 128 0 0 0 0 0 128 0 0 0 0 0 0 0 0 0 0 128 128 0 128 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128] trailingEdgeVariationFlag [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2] icePresenceIndicator [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1] meteorologicalMapAvailability [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] interpolationFlagForMeanDiurnalTide [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] satelliteChannelCentreFrequency [[2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10] [2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10] [3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10 3.70e+10] [2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10]] specificBandOceanRange [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 796456.779 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 796951.88 796952.75 796959.36 796965.645 -- 796981.365 797018.862 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] rmsOfSpecificBandOceanRange [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.3811 -- 1.8055 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 1.4163000000000001 1.1894 1.0550000000000002 -- 0.9452 0.7615000000000001 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] numberOfValidPointsForSpecificBand [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 8 3 0 9 2 10 0 0 0 3 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 4 4 3 2 0 12 26 32 24 0 20 18 6 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 3] specificBandNetInstrumentalCorrection [-3.0893 -3.0895 -3.0897 -3.0899 -3.0902 -3.0904 -3.0906 -3.0908 -3.091 -3.0912 -3.0914 -3.0915 -3.0916 -3.0917 -3.0917 -3.0918 -3.0919 -3.0919 -3.092 -3.092 -3.092 -3.0921 -3.0922 -3.0923 -3.0924 -3.0925 -3.0926 -3.0928 -3.0929 -3.093 -3.1536 -3.0935 -3.0938 -3.0941 -3.0944 -3.0947 -3.0951 -3.0955 -3.0959 -3.0963 -3.0966 -3.0969 -3.0972 -3.0975 -3.0977 -3.0978 -3.0979 -3.0981 -3.0982 -3.0982 -3.0983 -3.0984 -3.0986 -3.0988 -3.099 -3.0993 -3.0996 -3.0999 -3.1002 -3.1005 -3.1008 -3.101 -3.1011 -3.1 -3.1012 -3.1013 -3.1012 -3.1012 -3.1011 -3.145 -3.1197 -3.1011 -3.0991 -3.1311 -3.1122 -3.102 -3.1023 -3.1027 -3.102 -3.1036 -3.104 -3.1044 -3.1047 -3.1051 -3.1041 -3.1055 -3.1057 -3.1058 -3.106 -3.1059 -3.1061 -3.1067 -3.1069 -3.1071 -3.1074 -3.1066 -3.107 -3.139 -3.1078 -3.1096 -3.1703 -3.1706 -3.1699 -3.1527 -3.1106 -3.1554 -3.151 -3.1111 -3.1115 -3.1092 -3.1115 -3.1117 -3.112 -3.1133 -3.1129 -3.113 -3.1134 -3.1139 -3.1143 -3.1147 -3.1151 -3.1154 -3.1156 -3.1157 -3.1158 -3.1158 -3.1157 -3.1143] seaStateBiasCorrectionOnSpecificBand [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.24880000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.002 -- -- -- -- -- -0.228 -0.15560000000000002 -- -0.0347 -0.19110000000000002 -0.12190000000000001 -- -- -- -0.002 -- -- -- -- -- -0.002 -- -- -- -- -- -- -- -- -- -- -0.0021000000000000003 -0.002 -0.2078 -0.0021000000000000003 -- -0.25320000000000004 -0.23700000000000002 -0.2366 -0.1962 -- -0.2472 -0.2321 -0.0451 -- -0.0187 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.0021000000000000003] specificBandSignificantWaveHeight [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 27.385 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.084 -- -- -- -- -- 9.852 5.808 -- 1.317 7.75 4.216 -- -- -- 0.084 -- -- -- -- -- 0.084 -- -- -- -- -- -- -- -- -- -- 0.084 0.084 7.862 0.084 -- 17.618000000000002 12.105 11.667 9.605 -- 10.03 9.376 1.871 -- 1.12 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.084] rmsSpecificBandSignificnatWaveHeight [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.75 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.0 -- -- -- -- -- 5.606 2.512 -- 1.299 0.395 3.757 -- -- -- 0.0 -- -- -- -- -- 0.0 -- -- -- -- -- -- -- -- -- -- 0.0 0.324 13.564 0.0 -- 7.202 9.216000000000001 8.332 10.504 -- 6.815 4.21 2.037 -- 1.028 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.0] numberOfValidPointsForSpecificBandSing [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 8 3 0 10 2 10 0 0 0 3 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 4 4 3 2 0 12 26 37 27 0 23 18 6 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 3] specificBandNetInstrCorrectionForSigWaveHeight [-0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.244 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 0.084 -0.139 -0.139 -0.139 -0.139 -0.139 -0.229 -0.201 -0.139 -0.109 -0.214 -0.186 -0.139 -0.139 -0.139 0.084 -0.139 -0.139 -0.139 -0.139 -0.139 0.084 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 0.084 0.084 -0.215 0.084 -0.139 -0.244 -0.244 -0.244 -0.227 -0.139 -0.23 -0.225 -0.139 -0.139 -0.091 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 -0.139 0.084] specificBandCorrectedOceanBackscatterCoefficient [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 10.39 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 13.97 -- -- -- -- -- 12.39 16.41 -- 10.74 10.540000000000001 10.47 -- -- -- 16.48 -- -- -- -- -- 13.93 -- -- -- -- -- -- -- -- -- -- 15.98 16.57 15.530000000000001 15.26 -- 11.040000000000001 8.73 7.2700000000000005 8.700000000000001 -- 20.22 17.12 17.66 -- 16.32 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 16.01] stdSpecificBandCorrectedOceanBackscatterCoefficient [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.04 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 7.29 -- -- -- -- -- 1.32 0.26 -- 0.19 0.06 2.47 -- -- -- 0.39 -- -- -- -- -- 0.06 -- -- -- -- -- -- -- -- -- -- 0.13 0.08 0.29 0.03 -- 1.92 0.44 0.55 1.11 -- 0.42 1.58 0.51 -- 0.14 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.12] numberOfValidPointsForSpecificBandBackscatter [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 8 3 0 10 2 10 0 0 0 3 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 4 4 3 2 0 12 26 37 27 0 23 18 6 0 4 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 3] specificBandNetInstrumentalCorrectionForAGC [0.4 0.4 0.35 0.37 0.31 0.4 0.37 0.2 0.36 0.34 0.36 0.35 0.35 0.29 0.21 0.27 0.36 0.39 0.38 0.5 0.27 0.2 0.37 0.34 0.24 0.33 0.13 0.32 0.11 0.15 0.21 0.33 0.34 0.28 0.13 0.23 0.33 0.44 0.4 0.39 0.36 0.29 0.25 0.35 0.34 0.47 0.24 0.4 0.3 0.13 0.18 0.33 0.45 0.5 0.36 0.2 0.38 0.49 0.41 0.2 0.36 0.15 0.1 0.25 0.2 0.17 0.1 0.3 0.35 0.19 0.15 0.08 0.19 0.26 0.16 0.33 0.16 0.32 0.31 0.41 0.41 0.39 0.45 0.44 0.32 0.29 0.3 0.45 0.5 0.51 0.5 0.48 0.5 0.43 0.46 0.37 0.37 0.32 0.32 0.31 0.31 0.17 0.18 0.15 0.39 0.51 0.29 0.34 0.42 0.33 0.42 0.39 0.33 0.4 0.43 0.41 0.39 0.37 0.4 0.42 0.35 0.34 0.36 0.33 0.34 0.34 0.46 0.31] attenuationCorrectionOnSigma0 [ 6.02 6.08 6.14 6.7 6.99 6.73 6.39 6.79 6.84 6.42 6.23 6.49 6.26 5.8 5.28 5.14 5.14 6.26 6.26 6.29 6.7 7.12 7.14 7.07 7.08 6.95 6.53 6.34 6.38 6.17 16.22 6.71 6.41 6.53 6.54 6.38 6.35 6.37 6.44 6.28 5.94 6.69 7.22 6.95 6.1 6.02 6.73 6.08 6.55 6.99 7.2 7.26 6.73 6.31 6.37 6.08 4.8 5.84 5.84 6.62 7.11 7.23 7.37 9.99 7.34 7.34 7.29 7.21 7.05 9.5 8.86 6.93 10.97 12.62 11.24 5.32 5.32 4.83 4.25 4.03 3.83 4.08 4.25 4.2 3.62 3.85 4.12 4.31 4.32 3.58 3.36 3.16 2.85 2.85 3.06 3.28 2.91 2.51 2.39 2.4 1.93 1.78 1.4 1.53 1.79 1.9 1.81 1.78 2.02 2.51 2.89 3. 3.27 3.62 3.71 3.72 3.63 3.58 3.55 3.6 3.69 3.74 3.81 3.78 3.68 3.67 3.87 3.96] specificBandAutomaticGainControl [39.27 37.35 30.4 33. 27.51 37.17 34.02 26.72 31.99 29.24 33.91 31.38 30.12 26.89 19.03 25.3 30.89 36.76 31.88 36.61 27.02 23.77 31.04 29.42 24.54 28.63 18.55 11.83 19.29 20.65 15.56 29.16 31.29 26.91 19.15 21.31 17.41 32.46 32.12 30.64 31.83 26.46 24.97 30.89 28.59 33.37 22.15 33.35 26.95 18.75 20.38 12.27 36.35 35.15 29.56 22.22 28.33 34.72 31.66 18.16 29.36 21.52 19.18 15.91 15.65 19.2 18.28 14.88 12.87 16. 20.27 18.51 15.8 15.1 16.56 11.73 20.24 29.75 29.25 35.46 32.48 31.77 33.97 33.39 28.73 27.61 28.52 31.72 34.88 36.11 37.37 35.13 33.35 32.4 33.11 31.31 31.38 30.89 29.91 30.01 25.05 21.36 20.6 21.88 31.21 33.84 28. 30.82 32.29 30.42 32.22 31.55 30.85 31.92 32.78 31.63 30.96 30.67 31.7 32.27 30.6 28.89 29.26 29.18 28.93 29.03 33.43 29.1 ] rmsSpecificBandAutomaticGainControl [-- -- -- -- 1.94 -- -- -- -- -- -- -- -- 2.25 -- -- 1.57 -- 1.45 1.51 -- -- -- -- 2.0300000000000002 -- 2.27 0.87 -- 2.5300000000000002 2.22 -- 1.25 -- 2.38 -- -- 1.32 2.32 2.5300000000000002 -- 0.8200000000000001 2.29 1.5 0.86 1.67 -- -- -- 2.35 -- 1.1300000000000001 -- 0.97 2.1 -- -- 1.18 -- -- -- -- 1.6300000000000001 -- 0.9400000000000001 -- 1.33 0.63 0.93 -- 1.7 0.98 0.75 2.15 2.02 0.6 2.38 0.97 2.43 -- 2.08 1.8 1.9000000000000001 -- 1.96 1.43 1.46 1.69 1.58 1.78 1.61 0.81 0.99 1.19 1.35 2.07 1.6300000000000001 0.9400000000000001 1.78 0.98 1.75 0.5 0.47000000000000003 1.1400000000000001 -- 0.58 -- -- 1.3800000000000001 1.51 2.11 1.04 1.35 1.33 -- 1.97 -- 1.99 2.2600000000000002 1.71 1.3900000000000001 0.6 1.56 0.88 0.81 0.86 2.18 2.2600000000000002] numberOfValidPointsForSpecificBandAutomaticGainControl [40. 40. 40. 40. 34. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 39. 40. 40. 40. 38. 40. 39. 40. 40. 40. 40. 40. 6. 40. 40. 21. 40. 39. 40. 40. 40. 40. 40. 40. 40. 40. 38. 40. 39. 37. 40. 39. 40. 40. 40. 40. 21. 40. 40. 40. 40. 40. 40. 40. 18. 39. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 11. 40. 36. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 39. 40. 40. 40. 40. 40. 40. 40. 40. 40. 40. 39. 38. 39. 39. 40. 40.] brightnessTemperature [[243.2 244.1 244.9 251.4 254.4 252.6 250.2 252.8 252.7 248. 246.1 249.1 247.6 245.9 245.9 245.9 245.8 245.8 245.8 247.6 252.3 256.9 257.5 257.2 257.1 255.7 253. 251.8 251.9 251.2 251.8 252. 249.3 249.8 249.3 247.3 248.3 249.2 249.9 248.5 246.9 253. 257.6 256.9 255.3 246.9 251. 245.9 251.1 256.4 259. 259.1 253.6 250.6 250.5 247.1 234.9 256.4 256.4 256.4 257.4 258.6 259.6 260.4 260.5 260.6 260.2 259.8 258.8 258.5 258.5 257.3 255.8 254.8 254.6 234.5 234.5 233.8 230.9 225. 222.7 223.9 224.3 221.5 211.1 212.2 213.8 214.3 211.7 199.6 194.5 192.1 188. 187. 190.3 193. 188.6 181.3 178.2 177.2 173.1 169.4 166.1 166.6 170.3 173.2 169.6 173.4 175.2 189.5 193.8 199.7 208.7 220. 223.4 224.6 225. 225. 225. 225.4 226. 226. 225.4 224. 223.1 222.9 224.7 226.2] [246.3 247. 247.7 253.8 256.5 253.9 250.3 254.6 255.1 250.8 248.7 251.6 249. 243.6 237.3 235.5 235.5 249.1 249.1 249.4 253.6 257.6 257.6 256.9 257.1 255.9 251.7 249.7 250.1 247.8 250.3 253.8 250.6 251.9 252.1 250.4 249.9 250.1 250.9 249.2 245.3 253.4 258.5 255.8 246.8 246.2 254.1 247. 252.1 256.2 258. 258.7 253.9 249.5 250. 246.9 230.6 243.7 243.7 252.5 257.4 258.5 259.7 259.5 259.2 259.2 258.8 258.1 256.6 256.5 256.7 255.5 253.2 250.1 248.7 237.5 237.5 230.8 222.7 219.1 216.1 219.7 222.1 221.2 212.7 215.6 219.7 222.9 223.1 211.7 208.4 205.2 200.4 200.5 203.7 207. 201.7 195. 193. 193.2 186.8 185.4 182.4 180.7 182.8 188.8 183.7 182.1 186.6 194. 200.5 202.1 206.6 213. 214.7 214.9 213.8 213.2 212.7 213.4 214.7 215.3 216.2 215.7 214.1 214. 216.9 218.4]] radiometerWaterVapourContent [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 69.3 -- -- -- -- -- 46.800000000000004 -- -- -- -- -- -- -- -- -- -- 28.6 26.700000000000003 22.6 20.400000000000002 -- 17.1 12.0 6.5 11.700000000000001 -- 16.1 16.1 20.6 -- 31.8 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 65.3] radiometerLiquidContent [2.3 2.33 2.37 2.78 3. 2.76 2.46 2.83 2.89 2.57 2.43 2.61 2.41 1.99 1.52 1.4 1.41 2.47 2.47 2.44 2.73 3.06 3.05 2.97 3. 2.89 2.51 2.35 2.38 2.19 6.06 2.76 2.51 2.63 2.67 2.56 2.48 2.47 2.53 2.4 2.1 2.69 3.15 2.85 1.96 2.17 2.82 2.28 2.61 2.91 3.05 3.13 2.72 2.36 2.42 2.23 1.43 1.66 1.66 2.49 3.03 3.12 3.25 4.43 3.16 3.16 3.11 3.04 2.88 4.03 3.67 2.8 4.16 4.46 3.81 1.87 1.87 1.48 1.13 1.09 1.01 1.15 1.25 1.27 1.12 1.19 1.34 1.47 1.51 1.17 1.08 0.99 0.86 0.86 0.95 1.04 0.88 0.73 0.68 0.68 0.54 0.47 0.31 0.37 0.46 0.51 0.46 0.42 0.54 0.68 0.84 0.85 0.9 0.93 0.93 0.91 0.85 0.83 0.81 0.83 0.87 0.89 0.95 0.96 0.91 0.91 1. 1.05] height [[10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0] [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --]] windSpeedFromAltimeter [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 10.950000000000001 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 2.66 -- -- -- -- -- 7.45 1.47 -- 8.290000000000001 9.23 7.79 -- -- -- 1.35 -- -- -- -- -- 2.71 -- -- -- -- -- -- -- -- -- -- 1.49 1.33 2.92 1.77 -- 9.9 13.75 16.19 13.86 -- 1.43 2.62 1.3900000000000001 -- 1.46 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 1.48] u [-2.6 -2.5 -2.5 -2.4 -2.2 -2.1 -1.9 -1.8 -1.6 -1.5 -1.4 -1.2 -1.1 -1. -0.9 -0.8 -0.6 -0.2 0.1 0.1 0.2 0.2 0.4 0.5 0.7 0.9 1.1 1.3 1.4 1.6 1.8 1.9 2. 2.2 2.3 2.4 2.4 2.4 2.5 2.1 1.9 1.7 1.6 1.5 1.6 1.6 1.6 1.6 1.7 1.5 1.4 1.3 1.1 1.1 1.5 1.8 2. 2.5 2.8 3. 3.2 3.3 3.3 3.4 3.6 3.8 4. 4.2 4.3 4.5 4.6 4.7 4.5 4.5 4.5 4. 4.3 4.1 3.7 3.3 2.9 2.6 2.3 2.1 1.8 1.5 1.3 1. 0.9 0.8 0.7 0.6 0.5 0.3 0.2 0.1 0. 0.1 0.1 0. -0.1 -0.2 -0.2 -0.2 -0.3 -0.3 -0.2 -0.3 -0.3 0. 0.3 0.6 0.8 0.9 1.1 1.3 1.3 1.3 1.2 1.2 1.3 1.4 1.3 1.2 1. 0.6 0.2 -0.1] v [ -3.9 -3.9 -3.8 -3.8 -3.8 -3.9 -4. -4.2 -4.2 -4.2 -4.2 -4.2 -4.1 -4.2 -4.3 -4.5 -4.5 -4.4 -4.1 -4. -3.9 -4.2 -4.5 -4.7 -4.7 -4.6 -4.5 -4.5 -4.4 -4.4 -4.4 -4.2 -4.2 -4.2 -4.3 -4.4 -4.5 -4.5 -4.5 -4.5 -4.4 -4.4 -4.5 -4.7 -4.9 -5.2 -5.5 -6. -6.1 -5.8 -5.5 -5.1 -4.7 -4.5 -4.8 -5.1 -5. -5.2 -5.1 -5.3 -5.5 -5.6 -5.7 -5.8 -6. -6.2 -6.3 -6.1 -6.1 -6.2 -6.3 -6.4 -5.9 -5.4 -5.3 -5.9 -6.1 -6.5 -7. -7.3 -7.5 -7.6 -7.8 -7.9 -8.1 -8.1 -8.3 -8.4 -8.7 -8.9 -9.2 -9.4 -9.6 -9.7 -9.8 -9.9 -10.1 -10.3 -10.5 -10.5 -10.5 -10.4 -10.4 -10.2 -10.1 -9.8 -9.4 -9.3 -9.3 -9.2 -9.2 -9.3 -9.3 -9.3 -9.1 -8.9 -8.5 -8.3 -8.1 -8. -7.9 -7.7 -7.6 -7.5 -7.3 -7.1 -6.8 -6.5] meanDynamicTopography [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.06 0.061 0.061 0.064 0.065 0.063 0.059000000000000004 0.059000000000000004 0.058 0.052000000000000005 0.05 0.048 0.048 0.046 0.045 0.044 0.042 0.039 0.033 0.029 0.028 0.025 0.025 0.022 0.019 0.018000000000000002 0.024 0.024 0.026000000000000002 0.029 0.029 0.036000000000000004 0.031 0.023 0.023 0.021 0.019 0.02 0.024 0.027 0.028 0.028 0.026000000000000002 0.025 0.023 0.022 0.023 0.026000000000000002 0.029 0.034 0.04 0.041 0.043000000000000003] cogAltitudeAboveReferenceEllipsoid [1296115.608 1296125.016 1296134.398 1296143.755 1296153.088 1296162.396 1296171.678 1296180.936 1296190.168 1296199.375 1296208.558 1296217.714 1296226.846 1296235.952 1296245.033 1296254.088 1296263.118 1296272.122 1296281.101 1296290.054 1296298.981 1296307.883 1296316.758 1296325.608 1296334.432 1296343.23 1296352.002 1296360.748 1296367.644 1296376.343 1296385.011 1296394.946 1296403.563 1296412.153 1296420.717 1296429.255 1296437.766 1296446.25 1296454.708 1296463.139 1296471.544 1296479.924 1296488.28 1296496.608 1296504.91 1296513.184 1296521.432 1296535.11 1296543.283 1296551.427 1296559.544 1296567.635 1296577.265 1296585.299 1296593.306 1296601.285 1296609.238 1296617.162 1296625.059 1296632.929 1296641.61 1296649.421 1296657.205 1296664.961 1296672.689 1296680.389 1296688.062 1296695.706 1296703.322 1296710.911 1296718.469 1296726. 1296733.504 1296740.978 1296748.426 1296755.846 1296762.826 1296770.193 1296777.533 1296784.845 1296792.128 1296799.382 1296806.608 1296813.806 1296820.974 1296828.115 1296835.226 1296842.309 1296849.362 1296856.387 1296863.384 1296870.351 1296877.289 1296884.199 1296891.079 1296897.93 1296904.753 1296911.546 1296918.31 1296925.045 1296931.75 1296938.426 1296945.073 1296951.691 1296958.28 1296964.838 1296971.368 1296977.868 1296984.338 1296990.779 1296997.191 1297003.572 1297009.925 1297016.247 1297022.54 1297028.803 1297035.036 1297041.239 1297047.413 1297053.556 1297059.67 1297065.754 1297071.808 1297077.832 1297083.825 1297089.789 1297095.723 1297101.626] instantaneousAltitudeRate [8.75 8.73 8.7 8.68 8.64 8.62 8.59 8.56 8.54 8.52 8.49 8.48 8.46 8.45 8.44 8.43 8.43 8.42 8.42 8.41 8.41 8.4 8.39 8.37 8.37 8.36 8.34 8.32 8.3 8.28 8.26 8.22 8.18 8.15 8.11 8.06 8.02 7.97 7.92 7.87 7.83 7.79 7.76 7.72 7.7 7.68 7.66 7.64 7.63 7.62 7.61 7.6 7.58 7.55 7.52 7.49 7.45 7.41 7.37 7.34 7.3 7.28 7.26 7.24 7.24 7.24 7.24 7.25 7.25 7.25 7.26 7.26 7.25 7.21 7.19 7.15 7.11 7.06 6.99 6.94 6.89 6.84 6.8 6.76 6.73 6.7 6.68 6.66 6.64 6.66 6.63 6.56 6.53 6.5 6.46 6.4 6.35 6.3 6.25 6.19 6.14 6.1 6.08 6.04 6.06 6.11 6.05 6. 5.94 5.89 5.94 5.91 5.88 5.72 5.77 5.75 5.7 5.64 5.59 5.54 5.49 5.45 5.43 5.41 5.4 5.4 5.41 5.43] squaredOffNadirAngleOfSatelliteFromPlatformData [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] squaredOffNadirAngleOfSatelliteFromWaveformData [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.17 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.29 -- -- -- -- -- 0.07 0.18 -- 0.15 -0.01 0.1 -- -- -- 0.11 -- -- -- -- -- 0.08 -- -- -- -- -- -- -- -- -- -- 0.08 0.07 0.13 0.14 -- 0.11 0.12 0.13 0.11 -- 0.08 0.09 0.11 -- 0.08 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.09] ionosphericCorrectionFromModelOnSpecificBand [-0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014 -0.0014] modelDryTroposphericCorrection [-2.27 -2.274 -2.275 -2.274 -2.274 -2.273 -2.268 -2.264 -2.258 -2.25 -2.243 -2.239 -2.234 -2.229 -2.226 -2.228 -2.231 -2.231 -2.224 -2.218 -2.217 -2.221 -2.221 -2.219 -2.217 -2.213 -2.204 -2.201 -2.201 -2.207 -2.211 -2.214 -2.215 -2.217 -2.225 -2.233 -2.238 -2.247 -2.256 -2.252 -2.249 -2.259 -2.276 -2.293 -2.292 -2.28 -2.266 -2.234 -2.23 -2.233 -2.239 -2.249 -2.252 -2.26 -2.279 -2.301 -2.301 -2.293 -2.274 -2.26 -2.257 -2.256 -2.253 -2.249 -2.239 -2.228 -2.222 -2.218 -2.212 -2.212 -2.213 -2.216 -2.238 -2.257 -2.275 -2.304 -2.304 -2.304 -2.304 -2.304 -2.305 -2.305 -2.305 -2.306 -2.306 -2.306 -2.306 -2.307 -2.307 -2.307 -2.308 -2.308 -2.308 -2.309 -2.309 -2.309 -2.31 -2.31 -2.31 -2.31 -2.311 -2.311 -2.312 -2.312 -2.312 -2.313 -2.313 -2.313 -2.314 -2.314 -2.314 -2.315 -2.315 -2.315 -2.316 -2.316 -2.316 -2.317 -2.317 -2.317 -2.318 -2.318 -2.318 -2.319 -2.319 -2.319 -2.319 -2.32 ] modelWetTroposphericCorrection [-0.03 -0.03 -0.03 -0.029 -0.029 -0.029 -0.028 -0.027 -0.026 -0.026 -0.026 -0.026 -0.026 -0.027 -0.027 -0.028 -0.028 -0.029 -0.029 -0.028 -0.028 -0.029 -0.029 -0.029 -0.029 -0.029 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.028 -0.029 -0.029 -0.029 -0.029 -0.029 -0.03 -0.031 -0.031 -0.03 -0.029 -0.028 -0.027 -0.027 -0.027 -0.028 -0.028 -0.029 -0.03 -0.031 -0.031 -0.031 -0.03 -0.029 -0.029 -0.029 -0.028 -0.028 -0.027 -0.027 -0.027 -0.026 -0.026 -0.026 -0.027 -0.027 -0.028 -0.03 -0.031 -0.033 -0.033 -0.033 -0.033 -0.033 -0.033 -0.033 -0.033 -0.033 -0.032 -0.032 -0.032 -0.032 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.031 -0.032 -0.032 -0.032 -0.033 -0.034 -0.034 -0.035 -0.035 -0.036 -0.036 -0.036 -0.037 -0.036 -0.036 -0.036 -0.035 -0.034 -0.033 -0.032 -0.031 -0.03 -0.029 -0.029 -0.028 -0.028 -0.028 -0.028 -0.028] radiometerWetTroposphericCorrection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.4172 -- -- -- -- -- -0.2904 -- -- -- -- -- -- -- -- -- -- -0.1673 -0.15710000000000002 -0.1343 -0.1211 -- -0.1086 -0.0747 -0.0366 -0.0732 -- -0.11460000000000001 -0.1018 -0.1327 -- -0.195 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.39480000000000004] meanSeaSurfaceHeight [-22.96 -22.703 -22.45 -22.191 -21.936 -21.681 -21.419 -21.158 -20.893 -20.63 -20.358 -20.086000000000002 -19.817 -19.549 -19.284 -19.027 -18.78 -18.549 -18.330000000000002 -18.127 -17.938 -17.767 -17.616 -17.481 -17.365000000000002 -17.264 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -15.951 -15.793000000000001 -15.627 -15.457 -15.284 -15.112 -14.941 -14.67 -14.514000000000001 -14.366 -14.221 -14.076 -13.898 -13.751 -13.595 -13.441 -13.288 -13.136000000000001 -12.979000000000001 -12.827 -12.655000000000001 -12.507 -12.36 -12.23 -12.111 -12.006 -11.912 -11.829 -11.765 -11.724 -11.705 -11.684000000000001 -11.689 -11.727 -11.826 -11.989 -12.193 -12.387 -12.477 -12.459 -12.418000000000001 -12.38 -12.327 -12.241 -12.097 -11.985 -11.891 -11.726 -11.593 -11.503 -11.419 -11.335 -11.218 -11.06 -10.934000000000001 -10.85 -10.724 -10.569 -10.384 -10.151 -9.958 -9.794 -9.559000000000001 -9.281 -9.039 -8.806000000000001 -8.462 -8.111 -7.902 -7.699 -7.4750000000000005 -7.298 -7.187 -7.007000000000001 -6.739 -6.4 -6.048 -5.812 -5.581 -5.368 -5.144 -4.918 -4.694 -4.478 -4.271 -4.083 -3.9210000000000003 -3.787] geoidHeight [-22.17 -21.946 -21.525 -21.395 -21.096 -20.684 -20.64 -20.25 -19.914 -19.641 -19.138 -18.943 -18.598 -18.106 -17.941 -17.485 -17.139 -17.155 -16.695 -16.436 -16.41 -16.259 -16.23 -16.127 -16.072 -16.075 -15.915 -15.933 -15.971 -15.856 -16.08 -16.205 -16.094 -16.104 -16.002 -16.104 -15.999 -15.647 -15.781 -15.569 -15.291 -15.425 -15.11 -14.854 -14.847 -14.35 -14.163 -13.694 -13.421 -13.42 -13.086 -13.013 -12.901 -12.728 -12.856 -12.755 -12.514 -12.329 -12.103 -12.046 -11.731 -11.421 -11.277 -11.004 -10.945 -10.859 -10.616 -10.711 -10.58 -10.36 -10.674 -10.635 -10.494 -10.974 -11.127 -11.246 -11.599 -11.686 -11.886 -11.904 -11.762 -12.056 -11.77 -11.353 -11.603 -11.471 -11.154 -11.121 -10.873 -11.074 -11.074 -10.609 -10.707 -10.593 -10.36 -10.449 -10.126 -10.085 -10.021 -9.502 -9.514 -9.334 -8.815 -8.849 -8.459 -7.995 -8.09 -7.652 -7.285 -7.193 -6.945 -6.76 -6.498 -6.371 -6.45 -6.182 -5.8 -5.581 -5.509 -5.168 -4.618 -4.485 -4.287 -3.593 -3.162 -2.725 -2.306 -2.077] oceanDepthOrLandElevation [ 57. 57. 52. 35. 28. 50. 69. 120. 142. 180. 157. 204. 217. 244. 267. 242. 221. 222. 233. 257. 249. 265. 305. 310. 185. 311. 380. 332. 315. 307. 299. 257. 346. 265. 289. 189. 153. 164. 163. 376. 147. 54. 51. 11. 6. 48. 132. 249. 231. 248. 190. 187. 226. 230. 1. -45. -77. 19. 197. 171. 162. 172. 146. 170. 178. 265. 286. 287. 313. 372. 314. 319. 290. 156. 19. -2. -294. -497. -528. -513. -507. -496. -469. -449. -439. -389. -357. -357. -393. -428. -477. -533. -485. -438. -427. -455. -474. -460. -437. -423. -390. -379. -381. -370. -371. -358. 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-0.019 -0.019 -0.019 -0.019 -0.019 -0.019 -0.019 -0.019] totalGeocentricOceanTideHeightSolution1 [-- -- -- -- -- -- -- -- -- -- 0.198 0.198 0.198 0.198 0.198 0.198 0.198 0.197 0.196 0.195 0.195 0.194 0.192 0.19 0.189 0.187 -- -- -- -- -- -- -- -- -- -0.088 -0.088 -0.089 -0.089 -0.089 -0.089 -0.089 -0.089 -0.089 -0.088 -0.079 -0.064 -0.062 -0.061 -0.06 -0.059000000000000004 -0.058 -0.058 -0.057 -0.057 -0.049 -0.041 -0.035 -0.032 -0.031 -0.027 -0.022 -0.015 -0.012 -0.013000000000000001 -0.014 -0.017 -0.021 -0.028 -0.036000000000000004 -0.044 -0.051000000000000004 -0.051000000000000004 -0.051000000000000004 -0.051000000000000004 -0.052000000000000005 -0.052000000000000005 -0.052000000000000005 -0.052000000000000005 -0.052000000000000005 -0.052000000000000005 -0.051000000000000004 -0.048 -0.046 -0.044 -0.042 -0.039 -0.037 -0.035 -0.033 -0.031 -0.029 -0.027 -0.025 -0.023 -0.02 -0.018000000000000002 -0.016 -0.014 -0.011 -0.009000000000000001 -0.008 -0.008 -0.007 -0.004 0.002 0.01 0.015 0.015 0.014 0.012 0.006 0.0 -0.004 -0.006 -0.008 -0.009000000000000001 -0.01 -0.011 -0.012 -0.013000000000000001 -0.014 -0.015 -0.015 -0.016 -0.016 -0.016 -0.016] totalGeocentricOceanTideHeightSolution2 [-- -- -- -- -- -- -- 0.226 0.226 0.226 0.226 0.225 0.222 0.221 0.221 0.192 0.003 0.138 0.217 0.217 0.20600000000000002 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -0.228 -0.23 -0.231 -0.233 -0.23500000000000001 -0.23600000000000002 -0.23600000000000002 -0.23700000000000002 -0.23700000000000002 -0.23700000000000002 -0.23700000000000002 -0.2 -0.153 -0.14400000000000002 -0.137 -0.136 -0.135 -0.134 -0.129 -0.122 -0.116 -0.109 -0.1 -0.098 -0.095 -0.088 -0.08600000000000001 -0.08600000000000001 -0.106 -0.14400000000000002 -0.147 -0.145 -0.14200000000000002 -0.135 -0.133 -0.132 -0.13 -0.11900000000000001 -0.117 -0.116 -0.114 -0.111 -0.107 -0.10300000000000001 -0.1 -0.096 -0.092 -0.088 -0.084 -0.08 -0.077 -0.073 -0.069 -0.065 -0.061 -0.058 -0.054 -0.05 -0.046 -0.042 -0.039 -0.035 -0.031 -0.027 -0.024 -0.02 -0.016 -0.012 -0.007 -0.003 0.002 0.008 0.013000000000000001 0.019 0.025 0.032 0.033 0.029 0.023 0.017 0.012 0.008 0.004 0.001 -0.001 -0.004 -0.006 -0.008 -0.009000000000000001 -0.01 -0.01 -0.011 -0.011] loadingTideHeightGeocentricOceanTideSolution1 [0.0074 0.0073 0.0073 0.0073 0.0072 0.0071 0.0071 0.007 0.007 0.007 0.0071 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.0071 0.007 0.007 0.007 0.007 0.007 0.0071 0.007 0.007 0.007 0.007 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.007 0.007 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.007 0.0071 0.0071 0.0072 0.0072 0.0072 0.0072 0.0071 0.0071 0.0071 0.0071 0.0071 0.0072 0.0072 0.0072 0.0072 0.0071 0.007 0.0069 0.0069 0.0069 0.0068 0.0068 0.0068 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0067 0.0066 0.0066 0.0066 0.0066 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 0.0064 0.0064 0.0064 0.0064 0.0064 0.0063] loadingTideHeightGeocentricOceanTideSolution2 [0.0073 0.0073 0.0072 0.0072 0.0072 0.0072 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 0.0074 0.0075 0.0074 0.0073 0.0073 0.0072 0.0072 0.0072 0.0072 0.0072 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 0.0072 0.0073 0.0073 0.0073 0.0073 0.0072 0.0072 0.0072 0.0071 0.0071 0.007 0.007 0.0069 0.0069 0.0068 0.0068 0.0067 0.0067 0.0066 0.0066 0.0065 0.0065 0.0064 0.0064 0.0063 0.0062 0.0062 0.0061 0.0061 0.006 0.006 0.0059 0.0058 0.0058 0.0057 0.0057 0.0056 0.0056 0.0056 0.0056 0.0056 0.0056 0.0056 0.0055 0.0055 0.0055 0.0055 0.0055 0.0055 0.0054 0.0054 0.0054 0.0054] longPeriodTideHeight [-0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.004 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005 -0.005] nonEquilibriumLongPeriodTideHeight [-- -- -- -- -- -- -- 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.0122 0.0023 0.0094 0.013600000000000001 0.013600000000000001 0.013600000000000001 -- -- -- -- -- -- -- -- -- -- -- -- -- -- 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0134 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.0135 0.0135 0.0135 0.0135 0.0135 0.0135 0.013600000000000001 0.013600000000000001 0.013600000000000001 0.0135 0.0135 0.0134 0.0134 0.013300000000000001 0.013300000000000001 0.013300000000000001 0.013300000000000001 0.013300000000000001 0.013300000000000001 0.013300000000000001] geocentricPoleTideHeight [0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.003 0.004 0.004 0.004 0.003 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.003 0.004 0.004 0.004 0.004 0.004 0.004 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003] invertedBarometerCorrection [ 0.12 0.106 0.099 0.104 0.104 0.108 0.129 0.147 0.174 0.207 0.24 0.258 0.277 0.301 0.312 0.307 0.293 0.293 0.324 0.348 0.352 0.335 0.337 0.343 0.352 0.371 0.408 0.424 0.422 0.399 0.379 0.367 0.361 0.354 0.318 0.282 0.259 0.223 0.181 0.198 0.211 0.169 0.096 0.018 0.024 0.078 0.14 0.276 0.297 0.28 0.254 0.213 0.198 0.166 0.08 -0.017 -0.016 0.019 0.102 0.163 0.177 0.18 0.193 0.213 0.257 0.302 0.332 0.35 0.373 0.375 0.37 0.356 0.26 0.177 0.1 -0.029 -0.03 -0.03 -0.031 -0.031 -0.033 -0.034 -0.035 -0.036 -0.038 -0.039 -0.04 -0.041 -0.043 -0.044 -0.045 -0.046 -0.048 -0.049 -0.051 -0.052 -0.054 -0.055 -0.056 -0.058 -0.06 -0.061 -0.063 -0.065 -0.066 -0.067 -0.069 -0.07 -0.072 -0.073 -0.075 -0.077 -0.078 -0.08 -0.081 -0.082 -0.084 -0.086 -0.087 -0.089 -0.09 -0.091 -0.092 -0.094 -0.095 -0.096 -0.097 -0.099] highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] seaSurfaceHeightAnomaly [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -7.404 -1.813 -2.052 -2.003 -- -4.965 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] radiometerLiquidContentForTest [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --] ecmwf-eccodes-python-b43a0f2/tests/sample-data/sral_sentinel_3a.items0000664000175000017500000007547215172126764026200 0ustar alastairalastairmessageNumber 1 edition 4 masterTableNumber 0 bufrHeaderCentre 98 bufrHeaderSubCentre 0 updateSequenceNumber 0 dataCategory 12 internationalDataSubCategory 255 dataSubCategory 99 masterTablesVersionNumber 25 localTablesVersionNumber 4 typicalYear 2017 typicalMonth 4 typicalDay 14 typicalHour 0 typicalMinute 55 typicalSecond 21 typicalDate 20170414 typicalTime 005521 numberOfSubsets 5 observedData 1 compressedData 1 unexpandedDescriptors [ 1007 2019 5044 1096 5040 1040 25061 25182 25183 25181 25184 301011 301013 4007 301021 5063 5064 5066 10081 10082 8075 25090 8029 6021 10087 25096 40012 8077 2153 12063 12065 40013 2153 12063 12065 40013 7002 11098 13090 13091 25164 25095 40023 25113 8074 25201 21144 25202 21143 13055 21169 10101 15012 7002 11097 40024 7002 25126 25128 40011 7002 11095 11096 10088 10089 10090 10092 10093 10098 10099 10100 25127 40014 10085 10086 10096 10200 10102 22080 8076 22189 22191 22130 25165 25166 25167 21183 21184 22134 21122 22190 22131 22132 22133 21186 21187 21188 21185 25112 25113 25200 8076 22189 22191 22130 25165 25166 25167 21183 21184 22134 21122 22190 22131 22132 22133 21186 21187 21188 21185 25112 25113 25200 25201 11097 13090 13091 21143 21184 25128 25163 25164 10102 22189 22191 22130 25166 21183 21184 22134 22190 22131 22132 25112 25113 25200 8049 22080 128021 301011 301013 4007 301021 10081 10082 8029 6021 25202 21071 10085 40011 10102 22189 22146 25165 25167 21183 22190 22133 21177 21185 25203 22046 13117 13013 25112 25200] satelliteIdentifier [61 61 61 61 61] satelliteInstruments [178 178 178 178 178] satelliteCycleNumber [16 16 16 16 16] stationAcquisition [-- -- -- -- --] orbitNumber [6021 6021 6021 6021 6021] processingCentreIdCode ['UNSPEC' 'UNSPEC' 'UNSPEC' 'UNSPEC' 'UNSPEC'] softwareVersionNumber ['UNSPECIFIED ' 'UNSPECIFIED ' 'UNSPECIFIED ' 'UNSPECIFIED ' 'UNSPECIFIED '] l1ProcessingFlag [-- -- -- -- --] l1ProcessingQuality [-- -- -- -- --] l2ProcessingFlag [-- -- -- -- --] l2ProductStatus [-- -- -- -- --] year [[2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 2017] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [2017 2017 2017 2017 --] [-- 2017 2017 2017 --] [-- 2017 2017 2017 --] [-- 2017 2017 2017 --] [-- 2017 2017 2017 --] [-- 2017 2017 2017 --] [-- -- 2017 -- --] [-- -- -- -- --]] month [[4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 4] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [4 4 4 4 --] [-- 4 4 4 --] [-- 4 4 4 --] [-- 4 4 4 --] [-- 4 4 4 --] [-- 4 4 4 --] [-- -- 4 -- --] [-- -- -- -- --]] day [[14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 14] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [14 14 14 14 --] [-- 14 14 14 --] [-- 14 14 14 --] [-- 14 14 14 --] [-- 14 14 14 --] [-- 14 14 14 --] [-- -- 14 -- --] [-- -- -- -- --]] hour [[0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- -- 0 -- --] [-- -- -- -- --]] minute [[55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 55] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [55 55 55 55 --] [-- 55 55 55 --] [-- 55 55 55 --] [-- 55 55 55 --] [-- 55 55 55 --] [-- 55 55 55 --] [-- -- 55 -- --] [-- -- -- -- --]] second [[21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 25] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [21 22 23 24 --] [-- 22 23 24 --] [-- 22 23 24 --] [-- 22 23 24 --] [-- 22 23 24 --] [-- 22 23 24 --] [-- -- 23 -- --] [-- -- -- -- --]] secondsWithinAMinuteMicrosecond [[21.000000000000004 22.000000000000004 23.000000000000004 24.000000000000004 25.000000000000004] [21.336444000000004 22.049300000000002 23.016782000000003 24.035199000000006 25.002718000000005] [21.387367000000005 22.100210000000004 23.067703000000005 24.086121000000006 25.053640000000005] [21.438277000000003 22.151145000000003 23.118626000000003 24.137044000000003 25.104550000000003] [21.489199000000003 22.202055000000005 23.169549000000004 24.187967000000004 25.155473000000004] [21.540109000000005 22.252978000000002 23.220459000000005 24.238890000000005 25.206396000000005] [21.591032000000002 22.303888000000004 23.271382000000003 24.289800000000003 25.257318000000005] [21.641955000000003 22.354811000000005 23.322317000000005 24.340723000000004 --] [21.692878000000004 22.405734000000002 23.373227000000004 24.391658000000003 --] [21.743800000000004 22.456631000000005 23.424150000000004 24.442568000000005 --] [21.794711000000003 22.507554000000003 23.475073000000005 24.493491000000002 --] [21.845633000000003 22.558477000000003 23.525983000000004 24.544414000000003 --] [21.896543000000005 22.609399000000003 23.576905000000004 24.595336000000003 --] [21.947466000000002 22.660322000000004 23.627828000000004 24.646259000000004 --] [21.998389000000003 22.711245000000005 23.678751000000005 24.697182000000005 --] [-- 22.762168000000003 23.729674000000003 24.748105000000002 --] [-- 22.813091000000004 23.780596000000003 24.799027000000002 --] [-- 22.864013000000003 23.831519000000004 24.849950000000003 --] [-- 22.914936000000004 23.882442000000005 24.900873000000004 --] [-- 22.965846000000003 23.933378000000005 24.951796000000005 --] [-- -- 23.984288000000003 -- --] [-- -- -- -- --]] latitude [[-66.20307000000001 -66.25791000000001 -66.31273 -66.36753 -66.42231000000001] [-66.22153 -66.26062 -66.31365000000001 -66.36946 -66.42246] [-66.22432 -66.26341000000001 -66.31644 -66.37225000000001 -66.42525] [-66.22711000000001 -66.26620000000001 -66.31923 -66.37504 -66.42803] [-66.2299 -66.26899 -66.32202000000001 -66.37783 -66.43082000000001] [-66.23269 -66.27178 -66.32481 -66.38062000000001 -66.43361] [-66.23549 -66.27457000000001 -66.3276 -66.38341000000001 -66.4364] [-66.23828 -66.27736 -66.33040000000001 -66.3862 --] [-66.24107000000001 -66.28016000000001 -66.33319 -66.38899 --] [-66.24386000000001 -66.28295 -66.33598 -66.39178000000001 --] [-66.24666 -66.28574 -66.33877000000001 -66.39456 --] [-66.24945000000001 -66.28853000000001 -66.34156 -66.39735 --] [-66.25224 -66.29132 -66.34435 -66.40014000000001 --] [-66.25503 -66.29411 -66.34714000000001 -66.40293000000001 --] [-66.25782000000001 -66.29690000000001 -66.34993 -66.40572 --] [-- -66.29969000000001 -66.35272 -66.40851 --] [-- -66.30249 -66.35551000000001 -66.41130000000001 --] [-- -66.30528000000001 -66.3583 -66.41409 --] [-- -66.30807 -66.36109 -66.41688 --] [-- -66.31086 -66.36388000000001 -66.41967000000001 --] [-- -- -66.36667 -- --] [-- -- -- -- --]] longitude [[116.14103000000001 116.08262 116.02398000000001 115.96509 115.90597000000001] [116.12141000000001 116.07974000000002 116.02299000000001 115.96302000000001 115.90581] [116.11844 116.07676000000001 116.02000000000001 115.96001000000001 115.90279000000001] [116.11546000000001 116.07377000000001 116.01700000000001 115.95700000000001 115.89977] [116.11249000000001 116.07079000000002 116.01401000000001 115.95400000000001 115.89676000000001] [116.10952 116.06781000000001 116.01102000000002 115.95099 115.89374000000001] [116.10654000000001 116.06483000000001 116.00802000000002 115.94798000000002 115.89072000000002] [116.10356000000002 116.06184 116.00502000000002 115.94497000000001 --] [116.10059000000001 116.05886000000001 116.00203 115.94196000000001 --] [116.09761 116.05587000000001 115.99903 115.93896000000001 --] [116.09463000000001 116.05289 115.99603 115.93595 --] [116.09166 116.04990000000001 115.99303 115.93293000000001 --] [116.08868000000001 116.04691000000001 115.99004000000001 115.92992000000001 --] [116.0857 116.04392000000001 115.98704000000001 115.92691 --] [116.08272000000001 116.04094 115.98403 115.9239 --] [-- 116.03795000000001 115.98103 115.92088000000001 --] [-- 116.03496000000001 115.97803 115.91787000000001 --] [-- 116.03197000000002 115.97503 115.91486 --] [-- 116.02897000000002 115.97203 115.91184000000001 --] [-- 116.02598 115.96902000000001 115.90882 --] [-- -- 115.96602000000001 -- --] [-- -- -- -- --]] spacecraftRoll [0.17 0.17 0.17 0.17 0.17] spacecraftPitch [0.28 0.28 0.28 0.28 0.28] spacecraftYaw [0.29 0.29 0.29 0.29 0.29] cogAltitudeAboveReferenceEllipsoid [[828403.846 828420.351 828436.8200000001 828453.2540000001 828469.652] [828409.403 828421.1630000001 828437.096 828453.831 828469.696] [828410.2440000001 828422.003 828437.934 828454.667 828470.53] [828411.084 828422.8420000001 828438.7710000001 828455.503 828471.3640000001] [828411.925 828423.681 828439.609 828456.339 828472.198] [828412.765 828424.52 828440.446 828457.174 828473.032] [828413.605 828425.359 828441.283 828458.009 828473.866] [828414.4450000001 828426.198 828442.121 828458.845 --] [828415.286 828427.037 828442.957 828459.68 --] [828416.126 828427.875 828443.794 828460.515 --] [828416.965 828428.714 828444.631 828461.35 --] [828417.805 828429.5530000001 828445.468 828462.185 --] [828418.645 828430.3910000001 828446.305 828463.02 --] [828419.484 828431.23 828447.142 828463.855 --] [828420.324 828432.068 828447.978 828464.6900000001 --] [-- 828432.9060000001 828448.8150000001 828465.525 --] [-- 828433.7440000001 828449.6510000001 828466.359 --] [-- 828434.582 828450.487 828467.194 --] [-- 828435.42 828451.323 828468.028 --] [-- 828436.258 828452.16 828468.862 --] [-- -- 828452.996 -- --] [-- -- -- -- --]] instantaneousAltitudeRate [[16.52 16.490000000000002 16.45 16.42 16.38] [16.51 16.490000000000002 16.45 16.41 16.38] [16.51 16.48 16.45 16.41 16.38] [16.51 16.48 16.45 16.41 16.38] [16.5 16.48 16.45 16.41 16.38] [16.5 16.48 16.44 16.41 16.37] [16.5 16.48 16.44 16.41 16.37] [16.5 16.47 16.44 16.4 --] [16.5 16.47 16.44 16.4 --] [16.5 16.47 16.44 16.4 --] [16.490000000000002 16.47 16.43 16.4 --] [16.490000000000002 16.47 16.43 16.4 --] [16.490000000000002 16.47 16.43 16.39 --] [16.490000000000002 16.46 16.43 16.39 --] [16.490000000000002 16.46 16.43 16.39 --] [-- 16.46 16.43 16.39 --] [-- 16.46 16.42 16.39 --] [-- 16.46 16.42 16.39 --] [-- 16.45 16.42 16.38 --] [-- 16.45 16.42 16.38 --] [-- -- 16.42 -- --] [-- -- -- -- --]] orbitQualifier [-- -- -- -- --] orbitStateFlag [-- -- -- -- --] surfaceType [[0 0 0 0 3] [0 0 0 0 3] [0 0 0 0 3] [0 0 0 0 3] [0 0 0 0 3] [0 0 0 0 3] [0 0 0 0 3] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [0 0 0 3 --] [-- 0 0 3 --] [-- 0 0 3 --] [-- 0 0 3 --] [-- 0 0 3 --] [-- 0 0 3 --] [-- -- 0 -- --] [-- -- -- -- --]] distance [[500.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 210.0] [440.0 420.0 350.0 280.0 --] [440.0 420.0 350.0 280.0 --] [440.0 370.0 350.0 280.0 --] [440.0 370.0 350.0 280.0 --] [420.0 370.0 350.0 280.0 --] [420.0 370.0 300.0 280.0 --] [420.0 370.0 300.0 280.0 --] [420.0 370.0 300.0 280.0 --] [-- 370.0 300.0 230.0 --] [-- 370.0 300.0 230.0 --] [-- 370.0 300.0 230.0 --] [-- 350.0 300.0 230.0 --] [-- 350.0 300.0 230.0 --] [-- -- 280.0 -- --] [-- -- -- -- --]] oceanDepthOrLandElevation [-386.6 -340.9 -327. -317.9 -296.3] radiometerStateFlag [-- -- -- -- --] radiometerDataQualityFlag [0 0 0 0 0] radiometerSensedSurfaceType [0 0 0 0 0] satelliteChannelCentreFrequency [[2.38e+10 2.38e+10 2.38e+10 2.38e+10 2.38e+10] [3.65e+10 3.65e+10 3.65e+10 3.65e+10 3.65e+10]] brightnessTemperature [[208.6 210.6 213.8 218.4 223.2] [212.3 214.1 216.9 221.2 226.6]] standardDeviationBrightnessTemperature [[0.7 1.2 1.4 2. 2. ] [0.6 1.1 1.5 1.8 2.2]] radiometerBrightnessTemperatureInterpretationFlag [[0 0 0 0 0] [0 0 0 0 0]] height [[10. 10. 10. 10. 10.] [10. 10. 10. 10. 10.] [ 0. 0. 0. 0. 0.] [10. 10. 10. 10. 10.]] windSpeedFromRadiometer [-- -- -- -- --] radiometerWaterVapourContent [[31.7 34.2 36.2 40.4 44.8] [29. 31.2 35.1 39.2 42.4]] radiometerLiquidContent [[0.58 0.65 0.7 0.84 1.09] [0.5 0.56 0.65 0.79 0.98]] radiometerWetTroposphericCorrection [[-0.2005 -0.2148 -0.2264 -0.2502 -0.2745] [-0.1871 -0.1992 -0.2204 -0.2434 -0.2612]] altimeterStateFlag [-- -- -- -- --] auxiliaryAltimeterStateFlags [-- -- -- -- --] bandSpecificAltimeterCorrectionQualityFlag [[-- -- -- -- --] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0]] altimeterEchoType [1 1 1 1 1] altimeterEchoProcessingMode [[-- -- -- -- --] [1 1 1 1 1]] altimeterRainFlag [0 0 0 -- --] altimeterTrackingMode [[0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- -- 0 -- --] [-- -- -- -- --]] kuBandRainAttenuation [[-1.34 -1.4000000000000001 -0.34 0.76 --] [0.25 0.17 0.22 1.33 --]] intensityOfPrecipitation [-- -- -- -- --] icePresenceIndicator [1 1 1 1 1] squaredOffNadirAngleOfSatelliteFromWaveformData [-- -- -- -- --] totalElectronCountPerSquareMetre [0. 0. 0. 0. 0.] windSpeedFromAltimeter [[26.76 24.72 25.36 23.91 21.91] [28.5 28.5 27.39 25.96 25.73]] meteorologicalMapAvailability [0 0 0 0 0] modelDryTroposphericCorrection [-2.223 -2.223 -2.223 -2.224 -2.224] modelWetTroposphericCorrection [[-0.201 -0.215 -0.226 -0.038 -0.037] [-0.187 -0.199 -0.22 -0.038 -0.037]] interpolationFlag [[-- -- -- -- --] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- -- 0 -- --] [-- -- -- -- --]] u [-5.5 -5.9 -6.1 -6.3 -6.4] v [5.2 5.6 5.8 5.9 6. ] totalGeocentricOceanTideHeightSolution1 [-0.24 -0.242 -0.243 -0.244 -0.245] totalGeocentricOceanTideHeightSolution2 [-0.24 -0.241 -0.243 -0.245 -0.246] longPeriodTideHeight [-0.002 -0.002 -0.002 -0.002 -0.002] solidEarthTideHeight [-0.047 -0.047 -0.047 -0.047 -0.047] geocentricPoleTideHeight [-0.004 -0.004 -0.004 -0.004 -0.002] loadingTideHeightGeocentricOceanTideSolution1 [0.0036 0.0035 0.0034 0.0033 0.0031] loadingTideHeightGeocentricOceanTideSolution2 [0.0033 0.0032 0.0032 0.0032 0.0031] nonEquilibriumLongPeriodTideHeight [-0.0017 -0.0018 -0.002 -0.0021 -0.0022] invertedBarometerCorrection [0.347 0.346 0.342 0.338 0.336] highFrequencyFluctuationsOfSeaSurfaceTopographyCorrection [-- -- -- -- --] meanSeaSurfaceHeight [[-24.689 -24.609 -24.656 -24.517 -24.611] [-24.654 -24.606 -24.657 -24.517 -24.611] [-24.651 -24.602 -24.658 -24.519000000000002 -24.61] [-24.648 -24.6 -24.657 -24.524 -24.608] [-24.645 -24.598 -24.656 -24.53 -24.607] [-24.642 -24.597 -24.654 -24.537 -24.604] [-24.64 -24.598 -24.650000000000002 -24.545 -24.599] [-24.637 -24.599 -24.645 -24.553 --] [-24.634 -24.602 -24.638 -24.561 --] [-24.63 -24.606 -24.63 -24.57 --] [-24.626 -24.61 -24.621000000000002 -24.577 --] [-24.622 -24.615000000000002 -24.61 -24.584 --] [-24.617 -24.62 -24.599 -24.589000000000002 --] [-24.613 -24.625 -24.587 -24.594 --] [-24.609 -24.631 -24.575 -24.599 --] [-- -24.636 -24.562 -24.603 --] [-- -24.642 -24.55 -24.606 --] [-- -24.647000000000002 -24.539 -24.608 --] [-- -24.651 -24.53 -24.61 --] [-- -24.654 -24.522000000000002 -24.611 --] [-- -- -24.518 -- --] [-- -- -- -- --]] geoidHeight [-22.922 -22.972 -23.001 -23.041 -23.074] meanDynamicTopography [-1.192 -1.192 -1.193 -1.193 -1.193] meanDynamicTopographyAccuracy [0.019 0.018 0.018 0.016 0.015] seaSurfaceHeightAnomaly [[-- 0.748 0.889 0.923 1.19] [-- 0.5730000000000001 0.921 0.9490000000000001 1.103] [0.545 0.626 0.877 0.8280000000000001 0.86] [0.462 0.593 0.871 1.043 1.116] [0.427 0.714 1.057 1.067 1.4040000000000001] [0.547 0.456 1.06 1.1400000000000001 0.862] [0.756 0.625 1.227 1.035 0.8220000000000001] [0.908 0.672 0.863 0.9530000000000001 1.301] [0.788 0.775 0.41400000000000003 0.967 --] [0.776 0.426 0.451 1.072 --] [0.885 0.922 0.9460000000000001 0.966 --] [0.9490000000000001 0.934 0.504 1.022 --] [0.8170000000000001 0.71 -- 0.934 --] [0.775 0.755 0.8180000000000001 1.0110000000000001 --] [0.977 0.9530000000000001 0.859 0.857 --] [0.481 0.844 0.7030000000000001 1.057 --] [-- 0.967 1.209 1.432 --] [-- 1.047 1.101 1.215 --] [-- 1.045 1.03 1.264 --] [-- 0.5670000000000001 1.02 1.16 --] [-- 0.905 0.926 1.089 --] [-- -- 0.936 -- --] [-- -- -- -- --]] wavebandCentralFrequency [[0.001 0.001 0.001 0.001 0.001] [0.02 0.02 0.02 0.02 0.02 ]] band [[1 1 1 1 1] [0 0 0 0 0]] specificBandOceanRange [[-- 928447.131 928463.495 928479.954 928496.411] [-- 928446.7490000001 928463.142 928479.453 928495.715] [-- 928446.882 928463.11 928479.425 928495.777] [928435.957 928447.637 928463.436 928480.113 928496.037] [928436.867 928448.523 928464.2710000001 928480.767 928496.658] [928437.729 928449.233 928464.974 928481.586 928497.2320000001] [928438.471 928450.285 928465.804 928482.3740000001 928498.555] [928439.189 928450.978 928466.498 928483.307 928499.3790000001] [928439.9010000001 928451.796 928467.638 928484.214 928499.859] [928440.826 928452.55 928468.845 928485.04 --] [928441.67 928453.684 928469.647 928485.796 --] [928442.414 928454.099 928470.066 928486.7170000001 --] [928443.194 928454.946 928471.262 928487.498 --] [928444.143 928455.9990000001 928472.206 928488.419 --] [928445.03 928456.822 928472.664 928489.197 --] [928445.699 928457.4990000001 928473.4550000001 928490.167 --] [928446.947 928458.421 928474.412 928490.837 --] [-- 928459.1630000001 928474.806 928491.365 --] [-- 928459.929 928475.734 928492.382 --] [-- 928460.774 928476.6240000001 928493.182 --] [-- 928462.02 928477.463 928494.111 --] [-- 928462.574 928478.37 928495.011 --] [-- -- 928479.196 -- --] [-- -- -- -- --]] rmsOfSpecificBandOceanRange [[-- 0.1879 0.4751 0.29550000000000004 0.27790000000000004] [-- 0.127 0.1827 0.1082 0.186] [-- 0.1646 0.21810000000000002 0.1943 0.0945]] numberOfValidPointsForSpecificBand [[ 4 18 20 17 15] [ 4 19 20 19 16] [ 4 19 20 20 16]] ionosphericCorrectionFromModelOnSpecificBand [[-- -- -- -- --] [-- -0.0751 -0.0694 -0.0975 -0.13470000000000001] [-0.0478 -0.0313 -0.0751 -0.0847 -0.0824] [-0.0374 -0.048600000000000004 -0.06430000000000001 -0.11560000000000001 -0.1255] [-0.0275 -0.0427 -0.11660000000000001 -0.11900000000000001 -0.1559] [-0.0526 0.0011 -0.1129 -0.13870000000000002 -0.1044] [-0.076 -0.023100000000000002 -0.1396 -0.1241 -0.057600000000000005] [-0.10160000000000001 -0.049 -0.0826 -0.10550000000000001 -0.188] [-0.0699 -0.0651 -0.0076 -0.10210000000000001 --] [-0.0646 -0.0089 -0.0164 -0.1183 --] [-0.08070000000000001 -0.0772 -0.1014 -0.09090000000000001 --] [-0.09000000000000001 -0.0711 -0.0279 -0.08510000000000001 --] [-0.0708 -0.056400000000000006 -- -0.0753 --] [-0.081 -0.0806 -0.0704 -0.0912 --] [-0.11610000000000001 -0.1106 -0.0787 -0.06670000000000001 --] [-0.0327 -0.0811 -0.0541 -0.0976 --] [-- -0.1015 -0.1313 -0.1627 --] [-- -0.1043 -0.12710000000000002 -0.12390000000000001 --] [-- -0.10310000000000001 -0.1194 -0.13670000000000002 --] [-- -0.030100000000000002 -0.12140000000000001 -0.1254 --] [-- -0.0806 -0.1061 -0.1194 --] [-- -- -0.1121 -- --] [-- -- -- -- --]] seaStateBiasCorrectionOnSpecificBand [[-0.0085 -0.0629 -0.0707 -0.0614 -0.0342] [-0.0288 -0.0777 -0.0845 -0.0764 -0.0516] [-0.0417 -0.1063 -0.0708 -0.0775 -0.0515]] specificBandNetInstrumentalCorrection [[-5.0678 -5.0678 -5.0678 -5.0678 -5.0848] [-5.0678 -5.0678 -5.0678 -5.0678 -5.0848] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-4.2963000000000005 -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -4.2963000000000005 -4.2963000000000005 -4.2963000000000005 --] [-- -- -4.2963000000000005 -- --] [-- -- -- -- --]] specificBandCorrectedOceanBackscatterCoefficient [[6.21 6.5600000000000005 7.17 8.22 9.42] [5.3500000000000005 5.91 5.74 6.140000000000001 6.69] [3.7600000000000002 4.34 5.17 5.57 5.63] [3.5700000000000003 6.7 5.14 6.140000000000001 6.91] [6.32 6.59 5.44 5.89 6.94] [6.55 6.65 5.48 5.92 6.73] [4.95 6.1000000000000005 5.76 6.140000000000001 7.1000000000000005] [6.49 6.140000000000001 5.66 6.0200000000000005 6.48] [6.25 6.21 5.84 6.49 6.96] [5.39 6.19 7.99 6.18 --] [4.43 6.21 6.2700000000000005 6.26 --] [4.24 6.0200000000000005 5.0 6.47 --] [4.8100000000000005 6.18 5.61 5.84 --] [5.2 6.140000000000001 5.8100000000000005 6.0600000000000005 --] [5.94 6.22 6.54 7.0200000000000005 --] [6.09 5.91 6.2 6.49 --] [6.7 5.98 6.74 6.7700000000000005 --] [-- 5.84 6.16 6.58 --] [-- 5.24 6.32 6.67 --] [-- 5.5600000000000005 6.1000000000000005 6.4 --] [-- 6.18 5.96 6.73 --] [-- 5.5200000000000005 5.86 6.69 --] [-- -- 5.69 -- --] [-- -- -- -- --]] stdSpecificBandCorrectedOceanBackscatterCoefficient [[0.45 0.32 0.33 0.37 0.36] [1.38 0.75 0.38 0.28 0.27] [0.14 0.14 0.14 0.14 0.14] [0.34 0.4 0.54 0.57 0.35]] numberOfValidPointsForSpecificBandBackscatter [[ 4 19 20 20 16] [ 4 19 19 20 16] [ 4 19 20 20 16]] attenuationCorrectionOnSigma0FromTb [[0.09 0.09 0.09 0.09 0.09] [0.14 0.14 0.14 0.14 0.14]] specificBandSignificantWaveHeight [[0.0 1.747 0.546 3.594 1.078] [0.981 2.368 2.5460000000000003 2.334 1.666] [1.369 3.105 2.179 2.363 1.663] [0.0 4.043 3.914 1.1480000000000001 2.38] [1.081 1.7910000000000001 3.231 3.02 0.806] [1.895 1.931 2.504 2.754 2.491] [0.0 3.973 1.641 2.158 1.355] [1.219 3.52 1.504 2.333 1.207] [1.754 3.368 2.024 1.214 1.141] [0.514 3.407 0.0 4.17 --] [0.858 4.325 2.805 2.226 --] [0.863 2.742 2.368 1.093 --] [0.735 2.0460000000000003 2.734 2.105 --] [1.322 2.991 4.25 0.421 --] [1.7670000000000001 2.584 3.795 1.19 --] [2.157 2.82 3.2520000000000002 1.809 --] [3.531 2.551 2.303 0.663 --] [-- 1.929 1.859 2.489 --] [-- 1.357 1.625 1.832 --] [-- 3.735 1.983 2.6630000000000003 --] [-- 4.23 1.377 2.267 --] [-- 3.0180000000000002 2.133 0.07200000000000001 --] [-- -- 1.311 -- --] [-- -- -- -- --]] rmsSpecificBandSignificantWaveHeight [[0.191 1.637 1.374 4.311 1.702] [0.921 1.256 0.97 0.968 0.847] [0.35 0.997 1.172 1.061 1.031]] numberOfValidPointsForSpecificBandSignificantWaveHeight [[ 4 19 20 20 15] [ 4 19 20 20 16] [ 4 19 20 20 16]] specificBandNetInstrumentCorrectionForSignificantWaveHeight [[-0.227 -0.227 -0.227 -0.227 -0.445] [-0.227 -0.227 -0.227 -0.227 -0.445] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- -- 0.0 -- --] [-- -- -- -- --]] specificBandAutomaticGainControl [[14.99 14.99 14.99 15.89 17.14] [22.2 22.2 22.2 22.2 22.2 ]] rmsSpecificBandAutomaticGainControl [[0. 0. 0. 0.46 0.43] [0. 0. 0. 0. 0. ]] numberOfValidPointsForSpecificBandAutomaticGainControl [[ 4 19 20 20 16] [ 4 19 20 20 15]] specificBandNetInstrumentalCorrectionForAgc [[-1.1400000000000001 -1.1400000000000001 -1.1400000000000001 -1.1400000000000001 -1.1300000000000001] [-1.1400000000000001 -1.1400000000000001 -1.1400000000000001 -1.1400000000000001 -1.1300000000000001] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] bandSpecificAltimeterDataQualityFlag [[256 0 0 0 0] [256 0 0 0 0] [256 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 256 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- -- 0 -- --] [-- -- -- -- --]] bandSpecificOceanQualityFlag [[0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 0 0 0] [0 0 256 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [0 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- 0 0 0 --] [-- -- 0 -- --] [-- -- -- -- --]] altimeterIonosphericCorrectionOnKuBand [-- -0.049 -0.076 -0.10300000000000001 -0.123] numberOfObservations [14 19 20 19 6] peakiness [[5 4 4 6 5] [6 5 4 5 6] [5 5 4 5 5] [5 4 5 5 6] [6 4 5 5 6] [5 4 5 6 5] [6 4 8 4 --] [5 4 5 5 --] [4 5 5 6 --] [4 5 5 4 --] [4 5 5 6 --] [5 5 4 6 --] [4 5 4 6 --] [5 4 5 6 --] [-- 5 5 5 --] [-- 5 5 5 --] [-- 4 5 5 --] [-- 4 5 5 --] [-- 4 5 6 --] [-- -- 6 -- --] [-- -- -- -- --]] ocogRange [[928435.459 928446.937 928462.757 928479.814 928495.4820000001] [928436.444 928448.069 928463.737 928480.138 928496.305] [928437.2810000001 928448.743 928464.442 928481.0210000001 928496.764] [928438.099 928449.6460000001 928465.399 928481.893 928498.35] [928438.826 928450.302 928466.101 928482.8690000001 928499.032] [928439.443 928451.149 928467.186 928483.903 928499.496] [928440.42 928451.863 928468.672 928484.367 --] [928441.15 928452.827 928469.267 928485.3640000001 --] [928441.862 928453.566 928469.657 928486.372 --] [928442.6830000001 928454.5380000001 928470.914 928487.083 --] [928443.625 928455.4990000001 928471.535 928488.128 --] [928444.5380000001 928456.31 928471.9330000001 928488.881 --] [928445.1730000001 928456.911 928472.875 928489.88 --] [928446.294 928457.8910000001 928474.049 928490.541 --] [-- 928458.757 928474.3690000001 928490.779 --] [-- 928459.549 928475.35 928491.97 --] [-- 928459.941 928476.207 928492.623 --] [-- 928461.3960000001 928477.082 928493.697 --] [-- 928461.9990000001 928477.887 928494.753 --] [-- -- 928478.8150000001 -- --] [-- -- -- -- --]] correctedOcogBackscatterCoefficient [[42.6 41.56 39.94 42.300000000000004 42.47] [43.050000000000004 41.730000000000004 40.300000000000004 40.96 42.82] [42.730000000000004 42.14 40.660000000000004 40.97 41.95] [42.550000000000004 40.96 41.300000000000004 41.43 43.38] [42.800000000000004 41.15 41.09 41.550000000000004 42.300000000000004] [41.95 41.13 41.74 42.63 42.83] [42.6 41.18 45.45 40.63 --] [41.5 41.24 41.75 41.58 --] [41.49 41.04 40.61 42.33 --] [41.68 41.69 40.96 41.65 --] [41.58 41.42 40.910000000000004 42.660000000000004 --] [41.78 41.800000000000004 41.5 43.25 --] [41.29 41.07 41.11 42.64 --] [41.660000000000004 41.2 42.5 43.050000000000004 --] [-- 41.15 41.79 41.76 --] [-- 40.95 42.08 42.33 --] [-- 40.39 41.77 41.52 --] [-- 41.46 41.730000000000004 41.89 --] [-- 40.42 40.99 42.93 --] [-- -- 41.33 -- --] [-- -- -- -- --]] seaIceFreeboard [[-- -1.21 -- -- --] [-- 0.212 -0.091 -- --] [-- 0.029 -0.035 -- --] [-- -0.985 -- -- --] [-- -0.648 -- -- --] [-- -0.47700000000000004 -- -- --] [-- -0.28600000000000003 -- -- --] [-- -1.371 -- -- --] [-- 0.019 -- -- --] [-- -0.002 -- -- --] [-- -0.23600000000000002 -- -- --] [-- -0.423 -- -- --] [-- 0.07200000000000001 -- -- --] [-0.068 0.04 -- -- --] [-- 0.251 -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] seaIceFraction [[0.81 0.8 0.78 0.07 0.0] [0.81 0.8 0.75 0.04 0.0] [0.81 0.8 0.71 0.0 0.0] [0.81 0.8 0.67 0.0 0.0] [0.8 0.8 0.64 0.0 0.0] [0.8 0.8 0.6 0.0 0.0] [0.8 0.8 0.5700000000000001 0.0 --] [0.8 0.8 0.53 0.0 --] [0.8 0.8 0.5 0.0 --] [0.8 0.8 0.46 0.0 --] [0.8 0.8 0.43 0.0 --] [0.8 0.8 0.39 0.0 --] [0.8 0.8 0.35000000000000003 0.0 --] [0.8 0.8 0.32 0.0 --] [-- 0.8 0.28 0.0 --] [-- 0.8 0.25 0.0 --] [-- 0.8 0.21 0.0 --] [-- 0.8 0.18 0.0 --] [-- 0.8 0.14 0.0 --] [-- -- 0.11 -- --] [-- -- -- -- --]] snowDensityLiquidWaterContent [[400 400 400 400 400] [400 400 400 400 400] [400 400 400 400 400] [400 400 400 400 400] [400 400 400 400 400] [400 400 400 400 400] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [400 400 400 400 --] [-- 400 400 400 --] [-- 400 400 400 --] [-- 400 400 400 --] [-- 400 400 400 --] [-- 400 400 400 --] [-- -- 400 -- --] [-- -- -- -- --]] totalSnowDepth [[0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 0.0] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [0.0 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- 0.0 0.0 0.0 --] [-- -- 0.0 -- --] [-- -- -- -- --]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/ahi-himawari-8.attributes0000664000175000017500000001321215172126764026505 0ustar alastairalastairmessageNumber: 1 satelliteIdentifier->code: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 satelliteClassification->code: '002020' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002028' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002029' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 numberOfPixelsPerRow->code: '030021' numberOfPixelsPerRow->units: Numeric numberOfPixelsPerRow->scale: 0 numberOfPixelsPerRow->reference: 0 numberOfPixelsPerRow->width: 12 numberOfPixelsPerColumn->code: '030022' numberOfPixelsPerColumn->units: Numeric numberOfPixelsPerColumn->scale: 0 numberOfPixelsPerColumn->reference: 0 numberOfPixelsPerColumn->width: 12 landOrSeaQualifier->code: '008012' landOrSeaQualifier->units: CODE TABLE landOrSeaQualifier->scale: 0 landOrSeaQualifier->reference: 0 landOrSeaQualifier->width: 2 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 solarZenithAngle->code: '007025' solarZenithAngle->units: deg solarZenithAngle->scale: 2 solarZenithAngle->reference: -9000 solarZenithAngle->width: 15 nonCoordinateHeight->code: '010002' nonCoordinateHeight->units: m nonCoordinateHeight->scale: -1 nonCoordinateHeight->reference: -40 nonCoordinateHeight->width: 16 satelliteChannelCentreFrequency->code: '002153' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002154' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 cloudAmountInSegment->code: '020081' cloudAmountInSegment->units: % cloudAmountInSegment->scale: 0 cloudAmountInSegment->reference: 0 cloudAmountInSegment->width: 7 amountSegmentCloudFree->code: '020082' amountSegmentCloudFree->units: % amountSegmentCloudFree->scale: 0 amountSegmentCloudFree->reference: 0 amountSegmentCloudFree->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 satelliteInstrumentUsedInDataProcessing->code: '002152' satelliteInstrumentUsedInDataProcessing->units: FLAG TABLE satelliteInstrumentUsedInDataProcessing->scale: 0 satelliteInstrumentUsedInDataProcessing->reference: 0 satelliteInstrumentUsedInDataProcessing->width: 31 meanHumidityComputationalMethod->code: '002024' meanHumidityComputationalMethod->units: CODE TABLE meanHumidityComputationalMethod->scale: 0 meanHumidityComputationalMethod->reference: 0 meanHumidityComputationalMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 radianceType->code: '002166' radianceType->units: CODE TABLE radianceType->scale: 0 radianceType->reference: 0 radianceType->width: 4 radianceComputationalMethod->code: '002167' radianceComputationalMethod->units: CODE TABLE radianceComputationalMethod->scale: 0 radianceComputationalMethod->reference: 0 radianceComputationalMethod->width: 4 spectralRadiance->code: '012075' spectralRadiance->units: W m-3 sr-1 spectralRadiance->scale: -3 spectralRadiance->reference: 0 spectralRadiance->width: 16 radiance->code: '012076' radiance->units: W m-2 sr-1 radiance->scale: 3 radiance->reference: 0 radiance->width: 16 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 1 brightnessTemperature->reference: 0 brightnessTemperature->width: 12 brightnessTemperature->firstOrderStatisticalValue->code: '224255' brightnessTemperature->firstOrderStatisticalValue->units: K brightnessTemperature->firstOrderStatisticalValue->scale: 0 brightnessTemperature->firstOrderStatisticalValue->reference: 0 brightnessTemperature->firstOrderStatisticalValue->width: 0 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/sample-data/synop.items0000664000175000017500000002110415172126764024102 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 0 dataSubCategory 1 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 9 typicalMonth 1 typicalDay 24 typicalHour 12 typicalMinute 0 typicalDate 20090124 typicalTime 120000 rdbType 1 oldSubtype 1 localYear 2009 localMonth 1 localDay 24 localHour 12 localMinute 0 localSecond 0 rdbtimeDay 24 rdbtimeHour 12 rdbtimeMinute 14 rdbtimeSecond 35 rdbtimeTime 121435 rectimeDay 24 rectimeHour 12 rectimeMinute 13 rectimeSecond 27 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude 70.93 localLongitude -8.67 ident 01001 observedData 1 compressedData 0 unexpandedDescriptors [307005 13021 13013 222000 101049 31031 1031 1032 101049 33007] blockNumber 1 blockNumber->percentConfidence 70 stationNumber 1 stationNumber->percentConfidence 70 stationType 1 stationType->percentConfidence 70 year 2009 year->percentConfidence 70 month 1 month->percentConfidence 70 day 24 day->percentConfidence 70 hour 12 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude 70.93 latitude->percentConfidence 70 longitude -8.67 longitude->percentConfidence 70 heightOfStation 9 heightOfStation->percentConfidence 75 nonCoordinatePressure 99100.0 nonCoordinatePressure->percentConfidence 74 pressureReducedToMeanSeaLevel 99220.0 pressureReducedToMeanSeaLevel->percentConfidence 74 3HourPressureChange 60.0 3HourPressureChange->percentConfidence 77 characteristicOfPressureTendency 0 characteristicOfPressureTendency->percentConfidence 79 windDirectionAt10M 80 windDirectionAt10M->percentConfidence 70 windSpeedAt10M 7.0 windSpeedAt10M->percentConfidence 70 airTemperatureAt2M 274.5 airTemperatureAt2M->percentConfidence 80 dewpointTemperatureAt2M 273.40000000000003 dewpointTemperatureAt2M->percentConfidence 77 relativeHumidity -- relativeHumidity->percentConfidence 70 horizontalVisibility 4500.0 horizontalVisibility->percentConfidence 82 presentWeather 61 presentWeather->percentConfidence 85 pastWeather1 6 pastWeather1->percentConfidence 70 pastWeather2 2 pastWeather2->percentConfidence 70 cloudCoverTotal 100 cloudCoverTotal->percentConfidence 85 verticalSignificanceSurfaceObservations [1 1 2 3 --] verticalSignificanceSurfaceObservations->percentConfidence [70 70 70 70 70] cloudAmount [8 -- -- -- --] cloudAmount->percentConfidence [85 70 70 70 70] heightOfBaseOfCloud [250.0 -- -- -- --] heightOfBaseOfCloud->percentConfidence [84 70 70 70 70] cloudType [37 61 60 -- -- -- --] cloudType->percentConfidence [85 85 85 70 70 70 70] totalPrecipitationPast6Hours 2.0 totalPrecipitationPast6Hours->percentConfidence 70 totalSnowDepth -- totalSnowDepth->percentConfidence 70 centre 98 generatingApplication 1 messageNumber 2 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 0 dataSubCategory 1 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 9 typicalMonth 1 typicalDay 24 typicalHour 12 typicalMinute 0 typicalDate 20090124 typicalTime 120000 rdbType 1 oldSubtype 1 localYear 2009 localMonth 1 localDay 24 localHour 12 localMinute 0 localSecond 0 rdbtimeDay 24 rdbtimeHour 12 rdbtimeMinute 14 rdbtimeSecond 35 rdbtimeTime 121435 rectimeDay 24 rectimeHour 12 rectimeMinute 13 rectimeSecond 27 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 1 localLatitude 77.0 localLongitude 15.5 ident 01003 observedData 1 compressedData 0 unexpandedDescriptors [307005 13021 13013 222000 101049 31031 1031 1032 101049 33007] blockNumber 1 blockNumber->percentConfidence 70 stationNumber 3 stationNumber->percentConfidence 70 stationType 1 stationType->percentConfidence 70 year 2009 year->percentConfidence 70 month 1 month->percentConfidence 70 day 24 day->percentConfidence 70 hour 12 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude 77.0 latitude->percentConfidence 70 longitude 15.500000000000002 longitude->percentConfidence 70 heightOfStation 12 heightOfStation->percentConfidence 70 nonCoordinatePressure -- nonCoordinatePressure->percentConfidence 70 pressureReducedToMeanSeaLevel 100500.0 pressureReducedToMeanSeaLevel->percentConfidence 70 3HourPressureChange 140.0 3HourPressureChange->percentConfidence 77 characteristicOfPressureTendency 2 characteristicOfPressureTendency->percentConfidence 79 windDirectionAt10M 80 windDirectionAt10M->percentConfidence 70 windSpeedAt10M 1.0 windSpeedAt10M->percentConfidence 70 airTemperatureAt2M 268.40000000000003 airTemperatureAt2M->percentConfidence 80 dewpointTemperatureAt2M 266.40000000000003 dewpointTemperatureAt2M->percentConfidence 77 relativeHumidity -- relativeHumidity->percentConfidence 70 horizontalVisibility 25000.0 horizontalVisibility->percentConfidence 82 presentWeather 2 presentWeather->percentConfidence 85 pastWeather1 2 pastWeather1->percentConfidence 70 pastWeather2 2 pastWeather2->percentConfidence 70 cloudCoverTotal 90 cloudCoverTotal->percentConfidence 85 verticalSignificanceSurfaceObservations [1 1 2 3 --] verticalSignificanceSurfaceObservations->percentConfidence [70 70 70 70 70] cloudAmount [3 -- -- -- --] cloudAmount->percentConfidence [85 70 70 70 70] heightOfBaseOfCloud [800.0 -- -- -- --] heightOfBaseOfCloud->percentConfidence [84 70 70 70 70] cloudType [35 23 60 -- -- -- --] cloudType->percentConfidence [85 85 85 70 70 70 70] totalPrecipitationPast6Hours 0.0 totalPrecipitationPast6Hours->percentConfidence 70 totalSnowDepth -- totalSnowDepth->percentConfidence 70 centre 98 generatingApplication 1 messageNumber 3 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 1 dataCategory 0 dataSubCategory 1 masterTablesVersionNumber 13 localTablesVersionNumber 1 typicalYearOfCentury 9 typicalMonth 1 typicalDay 24 typicalHour 12 typicalMinute 0 typicalDate 20090124 typicalTime 120000 rdbType 1 oldSubtype 1 localYear 2009 localMonth 1 localDay 24 localHour 12 localMinute 0 localSecond 0 rdbtimeDay 24 rdbtimeHour 12 rdbtimeMinute 14 rdbtimeSecond 35 rdbtimeTime 121435 rectimeDay 24 rectimeHour 12 rectimeMinute 13 rectimeSecond 27 restricted 0 correction1 0 correction1Part 1 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 60 newSubtype 0 numberOfSubsets 1 localLatitude 78.92 localLongitude 11.93 ident 01007 observedData 1 compressedData 0 unexpandedDescriptors [307005 13021 13013 222000 101049 31031 1031 1032 101049 33007] blockNumber 1 blockNumber->percentConfidence 70 stationNumber 7 stationNumber->percentConfidence 70 stationType 1 stationType->percentConfidence 70 year 2009 year->percentConfidence 70 month 1 month->percentConfidence 70 day 24 day->percentConfidence 70 hour 12 hour->percentConfidence 70 minute 0 minute->percentConfidence 70 latitude 78.92 latitude->percentConfidence 70 longitude 11.930000000000001 longitude->percentConfidence 70 heightOfStation 18 heightOfStation->percentConfidence 60 nonCoordinatePressure 100470.0 nonCoordinatePressure->percentConfidence 60 pressureReducedToMeanSeaLevel 100570.0 pressureReducedToMeanSeaLevel->percentConfidence 60 3HourPressureChange 120.0 3HourPressureChange->percentConfidence 77 characteristicOfPressureTendency 1 characteristicOfPressureTendency->percentConfidence 79 windDirectionAt10M 150 windDirectionAt10M->percentConfidence 70 windSpeedAt10M 1.0 windSpeedAt10M->percentConfidence 70 airTemperatureAt2M 268.5 airTemperatureAt2M->percentConfidence 70 dewpointTemperatureAt2M 266.1 dewpointTemperatureAt2M->percentConfidence 77 relativeHumidity -- relativeHumidity->percentConfidence 70 horizontalVisibility 30000.0 horizontalVisibility->percentConfidence 82 presentWeather 2 presentWeather->percentConfidence 85 pastWeather1 2 pastWeather1->percentConfidence 70 pastWeather2 2 pastWeather2->percentConfidence 70 cloudCoverTotal 100 cloudCoverTotal->percentConfidence 85 verticalSignificanceSurfaceObservations [1 1 2 3 --] verticalSignificanceSurfaceObservations->percentConfidence [70 70 70 70 70] cloudAmount [8 -- -- -- --] cloudAmount->percentConfidence [85 70 70 70 70] heightOfBaseOfCloud [800.0 -- -- -- --] heightOfBaseOfCloud->percentConfidence [84 70 70 70 70] cloudType [38 61 60 -- -- -- --] cloudType->percentConfidence [85 85 85 70 70 70 70] totalPrecipitationPast6Hours 0.0 totalPrecipitationPast6Hours->percentConfidence 70 totalSnowDepth 0.44 totalSnowDepth->percentConfidence 70 centre 98 generatingApplication 1 ecmwf-eccodes-python-b43a0f2/tests/sample-data/terra-modis-aerosol.bufr0000664000175000017500000000151415172126764026442 0ustar alastairalastairBUFRIbÏ eÞ5#Q ÀÊÁ Á ÁPÁO ( G«++-^+DG«*˜¤A! A˜ÿÖÃÀ0 1ïà$ÔÂ*¦ÂÒoÏ9}&å¡Š²#GkÑNaøËà'¿&jûK[Ü›³û„YýwF²TY(á$ñÚ¸ª]óWlc½0íôó÷]°¬@æ…G 4#€$bÁ.()!©à‘ÂQËã™y5Ä$`a%'›xŽ#RXq·wlÈÕPèÀPLL€+ì/ÿÆ —·WÿŸÿÿ€ ÿÿÿ@€=»ˆ¬œI‰¬µI$«Kàщþð2d°¢'ý‡Ãá@Ù0¥}€lÒ08L½º¡Ãü˜•@ ‚&À}uøL,€¶ˆ ZÁpÀ ‘Ʀ'øª&%2eNb0M€îª#¾&IpXÎúÿÿþb$‰ Ý€X+ŽUAwƒh¨¶:$"^šÀÿÿ€†Sˆ·- €w>ƒËàC”ºêFÍæ€}?€ÿÿ€E ¦/ ‹Äš"B"TIÔp²-iJ¢FeED›UFáê~‚@¿£Å¤O$ a¾â²¢EC“ G†‹àÿÿàÿø@€@€@€@€1þ ÿÿþŠ,@‰†ADÅyw"gÿÿø €mE+À>ˆ4(£ ,‰ÿÿþúóÀC1ƒ„"a˜ƒD°ÿÿ€ "O°´7F.|E$ ¬$†&L^ÿÿ€ ðð€O°Ñb¤¶Bú¬ÐmaÿÿþÒ^²#L…0pÀW€Çÿÿø#(yÛæ¶8@˜s Ñ`W…xÿÿàÿø7777Lecmwf-eccodes-python-b43a0f2/tests/sample-data/amv-goes-9.bufr0000664000175000017500000000325215172126764024437 0ustar alastairalastairBUFRªb€W 4W}6Jì€{¤™ÿƒ…^ª*ýªF0)@Fz*ÀÊ–¤Ag A!–¥ A!#–¥ A!$–¥ A!–¥ A!#–¥ A!$–¥ A!–¥ A!#–¥ A!$Þ?@"â©€©€é€À$Àdÿƒ%'GÀüoÛðÆúQ¾$oYÀÆîñºÔàñõ7KÈBðT¼.þ ºzî(»€.Þ«·í°»b®Ë«²zìh».¼Ë®ê뺤×f,ùlX[ ­ªñjR°€t“"ÒõŠ>0pò°Ác„E,þ/¨F­`ê+‚$X;Vé¡dž€lXòÐÅrvÁ^è‘ñÐ.‡¡¿Šâ LÔ(7œRÍ¡¯Ä ° H$#Í®ÿH>©0^pQ>Ï…\6"†´ƒM¡ff†‘tPñ¢×tª¿"U™4ò§ NM¢,¡Þ§¤:}Q&A¦@å–ëI:R(¦ùs„#´v&‹Rù?Lò§nb¼@`Bz„‰”4pS‡B"@x1ƒƒ†VQãT*@¨’=Þoôê› …­†ËfwC¤QNÆÈA8¾ip>f”KmX-ÞŽ¡¹a¸ h€‡Š “ F©ˆ,Àægjjé-é„´ŽHÉIkÂCl¤ H¨©í(H@"K`"gBPUTTUAUUU 0ä`V BL|䲼ܒŠ‚ÈZZrXXZjnz€´ÀÀñÆÚÔÂÂÓ1Gà|ÿÀüð?ü` Ð:ÀX@nN ±Bˆ ³Ù∠@ˆÂ˜FŒ@aÂ@yr@ñÒ§ (À ,€˜îçÜ6-FÃŒ¦{6]*‘QOFv©h¶ahµdR:<¯Z¬áñIx‘ep ˆÐ.@*p{âxð°«Ô$L ‘£‚œ:ÀŒ4 °Š¡PÂ@ô‘èóx¿§TÙ( -l6[3º"Šv6B ÅóKó4¢[jÀ€!nôu Ë ÅGà|Àüð?ð?àøà~à|øÿÿÀª€ªª¢¢ª ªª«ÿð?ü ¨ ªª** ªªª¿ÿÿÀª€ªª¢¢ª ªª«ÿð?ü ¨ ªª** ªªª¿ÿÿÀª€ªª¢¢ª ªª«ÿð?ü ¨ ªª** ªªª¿ÿÿÀª€ªª¢¢ª ªª«ÿð?ü ¨ ªª** ªªª¿ÿÿÀª€ªª¢¢ª ªª«ÿð?ü ¨ ªª** ªªª¿ÿÿÀ @  @ @ @ @ @ @ @ @ @ @ Êr;K;šå`YòŽñ]k¶ó;æùÎ+k×µïäv–w5ÊÀ³åâºÖ)mæwÍóœV×®%kÞ2Èí,îk•gÊ;Åu¬RÛÌï›ç8­¯\J×¼d ‘ÚYÜ×+Ï”wŠëX¥·™ß7Îq[^¸•¯x€Ê ° ° ° °  A@‚ ÀL£»ïˆž5)Œ^´¾+âÑëk^ל¨éNO˜-Gwß`µß|Dñ¨)Lbõ¥ñXGŒï[Zö¼åGJrx À`Û`Û`Û`ÛÌ`#ÀÎÎ ° ° ° ° àP€ 7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/geos-abi-goes-16.items0000664000175000017500000003427615172126764025615 0ustar alastairalastairmessageNumber 1 edition 3 masterTableNumber 0 bufrHeaderSubCentre 0 bufrHeaderCentre 98 updateSequenceNumber 0 dataCategory 5 dataSubCategory 189 masterTablesVersionNumber 28 localTablesVersionNumber 0 typicalYearOfCentury 18 typicalMonth 9 typicalDay 13 typicalHour 9 typicalMinute 15 typicalDate 20180913 typicalTime 091500 rdbType 3 oldSubtype 189 localYear 2018 localMonth 9 localDay 13 localHour 9 localMinute 15 localSecond 30 rdbtimeDay 13 rdbtimeHour 10 rdbtimeMinute 5 rdbtimeSecond 51 rdbtimeTime 100551 rectimeDay 13 rectimeHour 10 rectimeMinute 5 rectimeSecond 51 restricted 0 correction1 0 correction1Part 0 correction2 0 correction2Part 0 correction3 0 correction3Part 0 correction4 0 correction4Part 0 qualityControl 70 newSubtype 0 numberOfSubsets 5 localLongitude1 -69.03384 localLatitude1 -51.78396 localLongitude2 -67.18655 localLatitude2 -51.71156 localNumberOfObservations 5 satelliteID 270 observedData 1 compressedData 1 unexpandedDescriptors [301072 30021 30022 8012 7024 5021 7025 5022 10002 101012 304032 105002 2152 2024 7004 7004 13003 101012 304033 222000 236000 101187 31031 1031 1032 101036 33007 222000 237000 1031 1032 8033 101036 33007 222000 237000 1031 1032 8033 101036 33007 222000 237000 1031 1032 8033 101036 33007 222000 237000 1031 1032 8033 101036 33007 224000 237000 1031 1032 8023 101036 224255 224000 237000 1031 1032 8023 101036 224255] satelliteIdentifier [270 270 270 270 270] centre [[160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160] [160 160 160 160 160]] satelliteClassification [241 241 241 241 241] segmentSizeAtNadirInXDirection [30000 30000 30000 30000 30000] segmentSizeAtNadirInYDirection [30000 30000 30000 30000 30000] year [2018 2018 2018 2018 2018] month [9 9 9 9 9] day [13 13 13 13 13] hour [9 9 9 9 9] minute [15 15 15 15 15] second [30 30 30 30 30] latitude [-51.78396 -51.76109 -51.74379 -51.7402 -51.71156] longitude [-69.03384 -68.57714 -68.0531 -67.62113 -67.18655] numberOfPixelsPerRow [15 15 15 15 15] numberOfPixelsPerColumn [15 15 15 15 15] landOrSeaQualifier [-- -- -- -- --] satelliteZenithAngle [59.85 59.87 59.9 59.95 59.97] bearingOrAzimuth [352.42 351.84 351.18 350.63 350.08] solarZenithAngle [105.05 104.78 104.46 104.2 103.94] solarAzimuth [102.76 102.38 101.95 101.59 101.23] nonCoordinateHeight [-- -- -- -- --] satelliteChannelCentreFrequency [[2.19e+14 2.19e+14 2.19e+14 2.19e+14 2.19e+14] [1.34e+14 1.34e+14 1.34e+14 1.34e+14 1.34e+14] [7.69e+13 7.69e+13 7.69e+13 7.69e+13 7.69e+13] [4.84e+13 4.84e+13 4.84e+13 4.84e+13 4.84e+13] [4.34e+13 4.34e+13 4.34e+13 4.34e+13 4.34e+13] [4.11e+13 4.11e+13 4.11e+13 4.11e+13 4.11e+13] [3.57e+13 3.57e+13 3.57e+13 3.57e+13 3.57e+13] [3.12e+13 3.12e+13 3.12e+13 3.12e+13 3.12e+13] [2.91e+13 2.91e+13 2.91e+13 2.91e+13 2.91e+13] [2.68e+13 2.68e+13 2.68e+13 2.68e+13 2.68e+13] [2.44e+13 2.44e+13 2.44e+13 2.44e+13 2.44e+13] [2.25e+13 2.25e+13 2.25e+13 2.25e+13 2.25e+13] [2.19e+14 2.19e+14 2.19e+14 2.19e+14 2.19e+14] [1.34e+14 1.34e+14 1.34e+14 1.34e+14 1.34e+14] [7.69e+13 7.69e+13 7.69e+13 7.69e+13 7.69e+13] [4.84e+13 4.84e+13 4.84e+13 4.84e+13 4.84e+13] [4.34e+13 4.34e+13 4.34e+13 4.34e+13 4.34e+13] [4.11e+13 4.11e+13 4.11e+13 4.11e+13 4.11e+13] [3.57e+13 3.57e+13 3.57e+13 3.57e+13 3.57e+13] [3.12e+13 3.12e+13 3.12e+13 3.12e+13 3.12e+13] [2.91e+13 2.91e+13 2.91e+13 2.91e+13 2.91e+13] [2.68e+13 2.68e+13 2.68e+13 2.68e+13 2.68e+13] [2.44e+13 2.44e+13 2.44e+13 2.44e+13 2.44e+13] [2.25e+13 2.25e+13 2.25e+13 2.25e+13 2.25e+13]] satelliteChannelBandWidth [[3.19e+12 3.19e+12 3.19e+12 3.19e+12 3.19e+12] [2.97e+12 2.97e+12 2.97e+12 2.97e+12 2.97e+12] [3.94e+12 3.94e+12 3.94e+12 3.94e+12 3.94e+12] [6.27e+12 6.27e+12 6.27e+12 6.27e+12 6.27e+12] [2.52e+12 2.52e+12 2.52e+12 2.52e+12 2.52e+12] [1.13e+12 1.13e+12 1.13e+12 1.13e+12 1.13e+12] [2.10e+12 2.10e+12 2.10e+12 2.10e+12 2.10e+12] [1.30e+12 1.30e+12 1.30e+12 1.30e+12 1.30e+12] [8.40e+11 8.40e+11 8.40e+11 8.40e+11 8.40e+11] [1.91e+12 1.91e+12 1.91e+12 1.91e+12 1.91e+12] [1.98e+12 1.98e+12 1.98e+12 1.98e+12 1.98e+12] [1.02e+12 1.02e+12 1.02e+12 1.02e+12 1.02e+12] [3.19e+12 3.19e+12 3.19e+12 3.19e+12 3.19e+12] [2.97e+12 2.97e+12 2.97e+12 2.97e+12 2.97e+12] [3.94e+12 3.94e+12 3.94e+12 3.94e+12 3.94e+12] [6.27e+12 6.27e+12 6.27e+12 6.27e+12 6.27e+12] [2.52e+12 2.52e+12 2.52e+12 2.52e+12 2.52e+12] [1.13e+12 1.13e+12 1.13e+12 1.13e+12 1.13e+12] [2.10e+12 2.10e+12 2.10e+12 2.10e+12 2.10e+12] [1.30e+12 1.30e+12 1.30e+12 1.30e+12 1.30e+12] [8.40e+11 8.40e+11 8.40e+11 8.40e+11 8.40e+11] [1.91e+12 1.91e+12 1.91e+12 1.91e+12 1.91e+12] [1.98e+12 1.98e+12 1.98e+12 1.98e+12 1.98e+12] [1.02e+12 1.02e+12 1.02e+12 1.02e+12 1.02e+12]] cloudAmountInSegment [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] amountSegmentCloudFree [[48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10] [48 37 24 16 10]] cloudType [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] satelliteInstrumentUsedInDataProcessing [[4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304] [4194304 4194304 4194304 4194304 4194304]] meanHumidityComputationalMethod [[-- -- -- -- --] [-- -- -- -- --]] pressure [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] relativeHumidity [[-- -- -- -- --] [-- -- -- -- --]] radianceType [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radianceComputationalMethod [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->firstOrderStatisticalValue->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] spectralRadiance->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->firstOrderStatisticalValue->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] radiance->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature [[-- -- -- -- --] [-- -- -- -- --] [272.5 273.8 274.3 274.7 275.3] [230.20000000000002 230.10000000000002 230.3 230.9 231.3] [240.60000000000002 240.20000000000002 240.10000000000002 240.3 240.4] [249.10000000000002 248.8 248.4 248.3 248.20000000000002] [271.40000000000003 271.90000000000003 272.2 272.5 273.0] [241.9 242.0 242.0 241.9 242.20000000000002] [273.40000000000003 274.2 274.7 275.1 275.7] [273.40000000000003 274.2 274.6 275.0 275.6] [272.6 272.6 272.8 273.0 273.6] [258.7 258.7 258.7 258.5 258.90000000000003]] brightnessTemperature->firstOrderStatisticalValue->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature->firstOrderStatisticalValue [[-- -- -- -- --] [-- -- -- -- --] [0.7000000000000001 0.30000000000000004 0.2 0.5 0.1] [0.30000000000000004 0.4 0.30000000000000004 0.4 0.6000000000000001] [0.30000000000000004 0.30000000000000004 0.2 0.4 0.6000000000000001] [0.4 0.2 0.2 0.4 0.4] [0.6000000000000001 0.30000000000000004 0.1 0.5 0.1] [0.4 0.2 0.1 0.2 0.1] [0.6000000000000001 0.30000000000000004 0.1 0.5 0.1] [0.6000000000000001 0.30000000000000004 0.2 0.6000000000000001 0.1] [0.5 0.30000000000000004 0.2 0.7000000000000001 0.1] [0.30000000000000004 0.2 0.2 0.5 0.1]] brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature->percentConfidence->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature->percentConfidence->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature->percentConfidence->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] brightnessTemperature->percentConfidence [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] generatingApplication [[-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --] [-- -- -- -- --]] methodOfDerivationOfPercentageConfidence [[1 1 1 1 1] [2 2 2 2 2] [3 3 3 3 3] [4 4 4 4 4]] firstOrderStatistics [[10 10 10 10 10] [-- -- -- -- --]] ecmwf-eccodes-python-b43a0f2/tests/sample-data/wave.bufr0000664000175000017500000000203615172126764023514 0ustar alastairalastairBUFRb€†  4†~I9O~u 2qi€55038 9¡r9¡rF €ÈêÖþMOLODEZNAÿÿÿâ/É')ã'›ó¨`%úˆ @€—ÿÿÿÿÿ€‹Ùæ_äÿÿÿà/@¥`ðÿÿÿð Ë„@Œÿÿÿø Ð åèPÿÿÿüèïó(-ÿÿÿþô'ù0ŠÿÿÿÿzÿüàD Àÿÿÿ€½?þX€?ÿÿÿÀ^€òÿ2 „ÿÿÿà/@Ÿ‘"0ÿÿÿð L?Ê,ÿÿÿø ÐFßãB0 ÿÿÿüè ¿ò èU ÿÿÿþôIwù@X-ÿÿÿÿztãüˆÇÿÿÿ€½-þP †ÿÿÿÿÀ^©hÿ&Æë_ÿÿÿà/fà’cÆOÿÿÿð³Ì¿È" ÿÿÿø Ù؟䀑/ÿÿÿüì¸oò`L–kÿÿÿþö@·ù (P(ÿÿÿÿzøsü˜*“ÿÿÿÿ€½vÁþH –ˆÿÿÿÿÀ^¶Lÿ$Kãÿÿÿÿà/XAoÿÿÿ𨽿ʓH§ÿÿÿø ÓïŸä€Ù¸cÿÿÿüêIò hæ+ÿÿÿþõ7ùŒÿÿÿÿ€½M©þH ‡ÿÿÿÀ^¬ìÿ$Ðã_ÿÿÿà/T“èÁÿÿÿð©`?É„ˆ¯ÿÿÿø Ôßä€ÒX?ÿÿÿüém¯ò …6#ÿÿÿþôקù0* ÿÿÿÿz\[ü˜R‰ÿÿÿ€½7þL *ƒ¿ÿÿÿÀ^–ÿ$Õá_ÿÿÿà/H*“ë@Ïÿÿÿ𤔿ÉåÈgÿÿÿø ÒnŸå@Òø#ÿÿÿüèÏòà…†ÿÿÿþôY·ù€JÈÿÿÿÿzcü¸1fƒÿÿÿÿ€½!þT4‚?ÿÿÿÀ^\ÿ*šà¿ÿÿÿà/CÏ–Àoÿÿÿð¢U¿Ìw/ÿÿÿø ÐüŸå;˜ÿÿÿüè”ÏòàÖÿÿÿþô*7ù°Tðÿÿÿÿz;ü¨$zÿÿÿ€½Õþd>€¿ÿÿÿÀ^„ÿ4 _àÿÿÿà/B€šp@/ÿÿÿð ßË8Hÿÿÿø Ð^¿æA”8 ÿÿÿüè4_òà¶&ÿÿÿþô?ù°Sÿÿÿÿz 7ü¸0Žÿÿÿ€½›þdH€¿ÿÿÿÀ^ƒÇÿ2 €7777ecmwf-eccodes-python-b43a0f2/tests/sample-data/terra-modis-aerosol.items0000664000175000017500000001735215172126764026634 0ustar alastairalastairmessageNumber 1 edition 4 masterTableNumber 0 bufrHeaderCentre 98 bufrHeaderSubCentre 0 updateSequenceNumber 0 dataCategory 3 internationalDataSubCategory 0 dataSubCategory 207 masterTablesVersionNumber 13 localTablesVersionNumber 101 typicalYear 2014 typicalMonth 7 typicalDay 18 typicalHour 8 typicalMinute 53 typicalSecond 35 typicalDate 20140718 typicalTime 085335 numberOfSubsets 10 observedData 1 compressedData 1 unexpandedDescriptors [310022 301011 301013 301021 7024 7025 27080 27193 20079 13040 20010 2071 2171 8043 15024 8043 8045 15024 22094 8043 104000 31001 2071 2171 15024 15042 224000 236000 101000 31001 31031 1033 1032 8023 101000 31001 224255] satelliteIdentifier [783 783 783 783 783 783 783 783 783 783] satelliteInstruments [389 389 389 389 389 389 389 389 389 389] centre [[98 98 98 98 98 98 98 98 98 98] [98 98 98 98 98 98 98 98 98 98]] productTypeForRetrievedAtmosphericGases [1 1 1 1 1 1 1 1 1 1] year [2014 2014 2014 2014 2014 2014 2014 2014 2014 2014] month [7 7 7 7 7 7 7 7 7 7] day [18 18 18 18 18 18 18 18 18 18] hour [8 8 8 8 8 8 8 8 8 8] minute [53 53 53 53 53 53 53 53 53 53] second [35 35 35 35 35 37 37 37 37 37] latitude [54.31784 53.6791 52.7474 52.23283 51.72762 54.61767 54.22952 53.73408 53.67361 53.24184] longitude [28.41928 34.17561 39.85954 42.37896 44.58587 21.42042 28.39075 33.05876 33.52647 36.49935] satelliteZenithAngle [36.93 7.49 26.09 38.26 47.02 58.06 36.93 13.83 11.11 6.95] solarZenithAngle [36.52 34.38 32.38 31.55 30.84 39.2 36.45 34.7 34.53 33.45] viewingAzimuthAngle [ 98.52 104.56 286.96 289.13 290.94 92.69 98.51 102.88 103.49 282.92] solarAzimuth [147.94 156.39 165.36 169.58 173.42 138.3 147.85 154.66 155.36 159.94] snowOrIceCrystalsIndicator [0 0 0 0 0 0 0 0 0 0] surfaceFlag [6 6 6 6 6 6 6 6 6 6] cloudCoverTotal [ 0 21 0 0 0 76 3 19 16 0] spectrographicWavelength [[5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07] [4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07 4.7000000e-07] [5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07 5.5500000e-07] [6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07 6.5900000e-07] [8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07 8.6499990e-07] [1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06 1.2400000e-06] [1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06 1.6399999e-06] [2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06 2.1300000e-06] [3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06 3.7499999e-06]] instrumentSerialNumberForWaterTemperatureProfile [[0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0]] atmosphericChemical [[28 28 28 28 28 28 28 28 28 28] [26 26 26 26 26 26 26 26 26 26] [28 28 28 28 28 28 28 28 28 28]] opticalDepth [[-- 0.112 0.09000000000000001 0.163 0.17700000000000002 -- 0.10200000000000001 -- -- 0.0] [-- -- -- -- -- -- -- -- -- --] [0.111 0.125 0.12200000000000001 0.22 0.23900000000000002 0.14500000000000002 0.117 0.137 0.152 0.0] [0.082 0.112 0.09000000000000001 0.163 0.17700000000000002 0.108 0.10200000000000001 0.12200000000000001 0.136 0.0] [0.061000000000000006 0.10200000000000001 0.068 0.12200000000000001 0.133 0.081 0.092 0.112 0.124 0.0] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [0.014 0.081 0.016 0.029 0.031 0.013000000000000001 0.068 0.08800000000000001 0.098 0.0] [-- -- -- -- -- -- -- -- -- --]] opticalDepth->firstOrderStatisticalValue [[-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --] [-- -- -- -- -- -- -- -- -- --]] particulateMatterCharacterization [0 0 0 0 0 0 0 0 0 0] totalNumberOfWaveBands [8 8 8 8 8 8 8 8 8 8] delayedDescriptorReplicationFactor [ 8 32 16] reflectance [[0.12500000000000003 0.09870000000000001 0.09880000000000001 0.10750000000000001 0.11650000000000002 0.17420000000000002 0.12410000000000002 0.10770000000000002 0.10620000000000002 0.09230000000000002] [0.10750000000000001 0.08280000000000001 0.09080000000000002 0.09790000000000001 0.10230000000000002 0.14870000000000003 0.10280000000000002 0.10400000000000002 0.10150000000000002 0.09460000000000002] [0.0637 0.049400000000000006 0.0651 0.06770000000000001 0.06890000000000002 0.08700000000000001 0.06220000000000001 0.06300000000000001 0.06340000000000001 0.06210000000000001] [0.33510000000000006 0.28920000000000007 0.2649 0.28120000000000006 0.28720000000000007 0.43950000000000006 0.29330000000000006 0.37660000000000005 0.3582000000000001 0.33890000000000003] [0.33160000000000006 0.27520000000000006 0.27510000000000007 0.2871 0.27910000000000007 0.3995000000000001 0.29240000000000005 0.3708000000000001 0.3476000000000001 0.32200000000000006] [0.18050000000000002 0.14140000000000003 0.18050000000000002 0.17910000000000004 0.17840000000000003 0.21770000000000003 0.16030000000000003 0.19910000000000003 0.18790000000000004 0.18500000000000003] [0.06990000000000002 0.048900000000000006 0.08780000000000002 0.07980000000000001 0.08420000000000001 0.08200000000000002 0.0632 0.07100000000000001 0.0675 0.07820000000000002] [-- -- -- -- -- -- -- -- -- --]] reflectance->firstOrderStatisticalValue [[0.0025000000000000005 0.0013000000000000002 0.0029000000000000007 0.0024000000000000002 0.0017000000000000003 0.0021000000000000003 0.0024000000000000002 0.0020000000000000005 0.0028000000000000004 0.0024000000000000002] [0.006800000000000001 0.0016000000000000003 0.006800000000000001 0.005200000000000001 0.004400000000000001 0.0021000000000000003 0.0037000000000000006 0.0029000000000000007 0.0048000000000000004 0.007300000000000001] [0.004400000000000001 0.0005000000000000001 0.0048000000000000004 0.0028000000000000004 0.0014000000000000002 0.0016000000000000003 0.0023000000000000004 0.0016000000000000003 0.0026000000000000003 0.0029000000000000007] [0.0636 0.033400000000000006 0.051100000000000007 0.04660000000000001 0.05820000000000001 0.029800000000000004 0.04150000000000001 0.023900000000000005 0.022800000000000004 0.06190000000000001] [0.05120000000000001 0.032600000000000004 0.035800000000000005 0.038900000000000004 0.04170000000000001 0.028500000000000004 0.03640000000000001 0.022400000000000003 0.024400000000000005 0.03640000000000001] [0.030500000000000006 0.013800000000000002 0.022900000000000004 0.021000000000000005 0.013300000000000003 0.008100000000000001 0.020500000000000004 0.010500000000000002 0.013700000000000002 0.012700000000000003] [0.012100000000000001 0.0045000000000000005 0.025900000000000003 0.019200000000000002 0.018900000000000004 0.005600000000000001 0.011900000000000003 0.011200000000000002 0.005900000000000001 0.015700000000000002] [-- -- -- -- -- -- -- -- -- --]] generatingApplication [-- -- -- -- -- -- -- -- -- --] firstOrderStatistics [9 9 9 9 9 9 9 9 9 9] ecmwf-eccodes-python-b43a0f2/tests/sample-data/tiggelam_cnmc_sfc.grib20000664000175000017500000000600015172126764026240 0ustar alastairalastairGRIBÿÿ°úbÜ    00013v fTcode: '001007' satelliteIdentifier->units: CODE TABLE satelliteIdentifier->scale: 0 satelliteIdentifier->reference: 0 satelliteIdentifier->width: 10 centre->code: '001031' centre->units: CODE TABLE centre->scale: 0 centre->reference: 0 centre->width: 16 satelliteClassification->code: '002196' satelliteClassification->units: CODE TABLE satelliteClassification->scale: 0 satelliteClassification->reference: 0 satelliteClassification->width: 9 segmentSizeAtNadirInXDirection->code: '002221' segmentSizeAtNadirInXDirection->units: m segmentSizeAtNadirInXDirection->scale: 0 segmentSizeAtNadirInXDirection->reference: 0 segmentSizeAtNadirInXDirection->width: 18 segmentSizeAtNadirInYDirection->code: '002222' segmentSizeAtNadirInYDirection->units: m segmentSizeAtNadirInYDirection->scale: 0 segmentSizeAtNadirInYDirection->reference: 0 segmentSizeAtNadirInYDirection->width: 18 year->code: '004001' year->units: a year->scale: 0 year->reference: 0 year->width: 12 month->code: '004002' month->units: mon month->scale: 0 month->reference: 0 month->width: 4 day->code: '004003' day->units: d day->scale: 0 day->reference: 0 day->width: 6 hour->code: '004004' hour->units: h hour->scale: 0 hour->reference: 0 hour->width: 5 minute->code: '004005' minute->units: min minute->scale: 0 minute->reference: 0 minute->width: 6 second->code: '004006' second->units: s second->scale: 0 second->reference: 0 second->width: 6 latitude->code: '005001' latitude->units: deg latitude->scale: 5 latitude->reference: -9000000 latitude->width: 25 longitude->code: '006001' longitude->units: deg longitude->scale: 5 longitude->reference: -18000000 longitude->width: 26 satelliteZenithAngle->code: '007024' satelliteZenithAngle->units: deg satelliteZenithAngle->scale: 2 satelliteZenithAngle->reference: -9000 satelliteZenithAngle->width: 15 nonCoordinateHeight->code: '010002' nonCoordinateHeight->units: m nonCoordinateHeight->scale: -1 nonCoordinateHeight->reference: -40 nonCoordinateHeight->width: 16 satelliteInstrumentDataUsedInProcessing->code: '002252' satelliteInstrumentDataUsedInProcessing->units: FLAG TABLE satelliteInstrumentDataUsedInProcessing->scale: 0 satelliteInstrumentDataUsedInProcessing->reference: 0 satelliteInstrumentDataUsedInProcessing->width: 31 satelliteDerivedWindComputationMethod->code: '002023' satelliteDerivedWindComputationMethod->units: CODE TABLE satelliteDerivedWindComputationMethod->scale: 0 satelliteDerivedWindComputationMethod->reference: 0 satelliteDerivedWindComputationMethod->width: 4 pressure->code: '007004' pressure->units: Pa pressure->scale: -1 pressure->reference: 0 pressure->width: 14 windDirection->code: '011001' windDirection->units: deg windDirection->scale: 0 windDirection->reference: 0 windDirection->width: 9 windSpeed->code: '011002' windSpeed->units: m/s windSpeed->scale: 1 windSpeed->reference: 0 windSpeed->width: 12 satelliteChannelCentreFrequency->code: '002197' satelliteChannelCentreFrequency->units: Hz satelliteChannelCentreFrequency->scale: -8 satelliteChannelCentreFrequency->reference: 0 satelliteChannelCentreFrequency->width: 26 satelliteChannelBandWidth->code: '002198' satelliteChannelBandWidth->units: Hz satelliteChannelBandWidth->scale: -8 satelliteChannelBandWidth->reference: 0 satelliteChannelBandWidth->width: 26 coldestClusterTemperature->code: '012193' coldestClusterTemperature->units: K coldestClusterTemperature->scale: 1 coldestClusterTemperature->reference: 0 coldestClusterTemperature->width: 12 cloudAmountInSegment->code: '020193' cloudAmountInSegment->units: % cloudAmountInSegment->scale: 0 cloudAmountInSegment->reference: 0 cloudAmountInSegment->width: 7 amountOfSegmentCloudFree->code: '020194' amountOfSegmentCloudFree->units: % amountOfSegmentCloudFree->scale: 0 amountOfSegmentCloudFree->reference: 0 amountOfSegmentCloudFree->width: 7 cloudType->code: '020012' cloudType->units: CODE TABLE cloudType->scale: 0 cloudType->reference: 0 cloudType->width: 6 meanHumidityComputationalMethod->code: '002199' meanHumidityComputationalMethod->units: CODE TABLE meanHumidityComputationalMethod->scale: 0 meanHumidityComputationalMethod->reference: 0 meanHumidityComputationalMethod->width: 4 relativeHumidity->code: '013003' relativeHumidity->units: % relativeHumidity->scale: 0 relativeHumidity->reference: 0 relativeHumidity->width: 7 relativeHumidity->firstOrderStatisticalValue->code: '224255' relativeHumidity->firstOrderStatisticalValue->units: % relativeHumidity->firstOrderStatisticalValue->scale: 0 relativeHumidity->firstOrderStatisticalValue->reference: 0 relativeHumidity->firstOrderStatisticalValue->width: 0 relativeHumidity->manualAutomaticQualityControl->code: '033252' relativeHumidity->manualAutomaticQualityControl->units: CODE TABLE relativeHumidity->manualAutomaticQualityControl->scale: 0 relativeHumidity->manualAutomaticQualityControl->reference: 0 relativeHumidity->manualAutomaticQualityControl->width: 4 relativeHumidity->percentConfidence->code: '033007' relativeHumidity->percentConfidence->units: % relativeHumidity->percentConfidence->scale: 0 relativeHumidity->percentConfidence->reference: 0 relativeHumidity->percentConfidence->width: 7 radianceType->code: '002254' radianceType->units: CODE TABLE radianceType->scale: 0 radianceType->reference: 0 radianceType->width: 4 radianceComputationalMethod->code: '002251' radianceComputationalMethod->units: CODE TABLE radianceComputationalMethod->scale: 0 radianceComputationalMethod->reference: 0 radianceComputationalMethod->width: 4 spectralRadiance->code: '012195' spectralRadiance->units: W m-2 sr-1 m spectralRadiance->scale: 10 spectralRadiance->reference: 0 spectralRadiance->width: 31 spectralRadiance->firstOrderStatisticalValue->code: '224255' spectralRadiance->firstOrderStatisticalValue->units: W m-2 sr-1 m spectralRadiance->firstOrderStatisticalValue->scale: 0 spectralRadiance->firstOrderStatisticalValue->reference: 0 spectralRadiance->firstOrderStatisticalValue->width: 0 spectralRadiance->manualAutomaticQualityControl->code: '033252' spectralRadiance->manualAutomaticQualityControl->units: CODE TABLE spectralRadiance->manualAutomaticQualityControl->scale: 0 spectralRadiance->manualAutomaticQualityControl->reference: 0 spectralRadiance->manualAutomaticQualityControl->width: 4 spectralRadiance->percentConfidence->code: '033007' spectralRadiance->percentConfidence->units: % spectralRadiance->percentConfidence->scale: 0 spectralRadiance->percentConfidence->reference: 0 spectralRadiance->percentConfidence->width: 7 radiance->code: '012196' radiance->units: W m-2 sr-1 radiance->scale: 3 radiance->reference: 0 radiance->width: 16 radiance->firstOrderStatisticalValue->code: '224255' radiance->firstOrderStatisticalValue->units: W m-2 sr-1 radiance->firstOrderStatisticalValue->scale: 0 radiance->firstOrderStatisticalValue->reference: 0 radiance->firstOrderStatisticalValue->width: 0 radiance->manualAutomaticQualityControl->code: '033252' radiance->manualAutomaticQualityControl->units: CODE TABLE radiance->manualAutomaticQualityControl->scale: 0 radiance->manualAutomaticQualityControl->reference: 0 radiance->manualAutomaticQualityControl->width: 4 radiance->percentConfidence->code: '033007' radiance->percentConfidence->units: % radiance->percentConfidence->scale: 0 radiance->percentConfidence->reference: 0 radiance->percentConfidence->width: 7 brightnessTemperature->code: '012063' brightnessTemperature->units: K brightnessTemperature->scale: 1 brightnessTemperature->reference: 0 brightnessTemperature->width: 12 brightnessTemperature->firstOrderStatisticalValue->code: '224255' brightnessTemperature->firstOrderStatisticalValue->units: K brightnessTemperature->firstOrderStatisticalValue->scale: 0 brightnessTemperature->firstOrderStatisticalValue->reference: 0 brightnessTemperature->firstOrderStatisticalValue->width: 0 brightnessTemperature->manualAutomaticQualityControl->code: '033252' brightnessTemperature->manualAutomaticQualityControl->units: CODE TABLE brightnessTemperature->manualAutomaticQualityControl->scale: 0 brightnessTemperature->manualAutomaticQualityControl->reference: 0 brightnessTemperature->manualAutomaticQualityControl->width: 4 brightnessTemperature->percentConfidence->code: '033007' brightnessTemperature->percentConfidence->units: % brightnessTemperature->percentConfidence->scale: 0 brightnessTemperature->percentConfidence->reference: 0 brightnessTemperature->percentConfidence->width: 7 generatingApplication->code: '001032' generatingApplication->units: CODE TABLE generatingApplication->scale: 0 generatingApplication->reference: 0 generatingApplication->width: 8 firstOrderStatistics->code: '008023' firstOrderStatistics->units: CODE TABLE firstOrderStatistics->scale: 0 firstOrderStatistics->reference: 0 firstOrderStatistics->width: 6 ecmwf-eccodes-python-b43a0f2/tests/test_bufr_header.py0000664000175000017500000000733615172126764023371 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F403 # flake8: noqa: F405 import sys import pytest as pt from eccodes.highlevel._bufr.message import * if sys.platform.startswith("win32"): pt.skip("Not applicable on Windows", allow_module_level=True) @pt.fixture(autouse=True) def fixture(monkeypatch): import os this_dir = os.path.dirname(__file__) monkeypatch.chdir(this_dir) # always run tests from the tests directory def test_header_accessors(): bufr = BUFRMessage(open("./sample-data/synop.bufr")) # Make sure we can access header section keys assert "localYear" in bufr.header bufr.header["localYear"] = 2025 assert bufr.header["localYear"] == 2025 # Make sure we can't access data section keys assert "year" not in bufr.header assert "year->code" not in bufr.header assert "year->percentConfidence" not in bufr.header assert "year->percentConfidence->code" not in bufr.header with pt.raises(KeyValueNotFoundError): bufr.header["year"] with pt.raises(KeyValueNotFoundError): bufr.header["year->code"] with pt.raises(KeyValueNotFoundError): bufr.header["year->percentConfidence"] with pt.raises(KeyValueNotFoundError): bufr.header["year->percentConfidence->code"] with pt.raises(KeyValueNotFoundError): bufr.header["year"] = 2025 with pt.raises(KeyValueNotFoundError): bufr.header["year->percentConfidence"] = 100 def test_header_get_count(): bufr = BUFRMessage("BUFR3_local") assert bufr.get_count("edition") == 1 with pt.raises(KeyValueNotFoundError): bufr.header.get_count("year") with pt.raises(KeyValueNotFoundError): bufr.header.get_count("#1#year") def test_header_is_missing(): bufr = BUFRMessage("BUFR3_local") assert not bufr.is_missing("edition") with pt.raises(KeyValueNotFoundError): bufr.header.is_missing("year") def test_header_set_missing(): bufr = BUFRMessage("BUFR3_local") with pt.raises(ValueCannotBeMissingError): bufr.set_missing("edition") with pt.raises(KeyValueNotFoundError): bufr.header.set_missing("year") def test_header_computed_keys(): bufr = BUFRMessage("BUFR3") bufr["typicalDate"] = dt.date(2000, 1, 2) bufr["typicalTime"] = dt.time(3, 4) assert bufr["typicalDateTime"] == np.datetime64("2000-01-02T03:04") assert bufr["typicalDate"] == np.datetime64("2000-01-02") assert bufr["typicalTime"] == np.timedelta64(3 * 60 + 4, "m") bufr["typicalDate"] = dt.datetime(2000, 1, 2) bufr["typicalTime"] = dt.timedelta(hours=3, minutes=4) assert bufr["typicalDateTime"] == np.datetime64("2000-01-02T03:04") bufr["typicalDate"] = np.datetime64("2000-01-02", "D") bufr["typicalTime"] = np.timedelta64(3 * 60 + 4, "m") assert bufr["typicalDateTime"] == np.datetime64("2000-01-02T03:04") bufr["typicalDate"] = "2000-01-02" bufr["typicalTime"] = "03:04" assert bufr["typicalDateTime"] == np.datetime64("2000-01-02T03:04") with pt.raises(NotFoundError): bufr["localDateTime"] bufr = BUFRMessage("BUFR3_local") bufr["localYear"] = 2000 bufr["localMonth"] = 1 bufr["localDay"] = 2 bufr["localHour"] = 3 bufr["localMinute"] = 4 assert bufr["localDateTime"] == np.datetime64("2000-01-02T03:04") assert bufr["localDate"] == np.datetime64("2000-01-02") assert bufr["localTime"] == np.timedelta64(3 * 60 + 4, "m") ecmwf-eccodes-python-b43a0f2/README.rst0000664000175000017500000001435215172126764020033 0ustar alastairalastair.. image:: https://img.shields.io/pypi/v/eccodes.svg :target: https://pypi.python.org/pypi/eccodes/ Python 3 interface to decode and encode GRIB and BUFR files via the `ECMWF ecCodes library `_. Features: - reads and writes GRIB 1 and 2 files, - reads and writes BUFR 3 and 4 files, - supports all modern versions of Python and PyPy3, - works on most *Linux* distributions and *MacOS*, the *ecCodes* C-library is the only system dependency, - PyPI package can be installed without compiling, at the cost of being twice as slow as the original *ecCodes* module, - an optional compile step makes the code as fast as the original module but it needs the recommended (the most up-to-date) version of *ecCodes*. Limitations: - Microsoft Windows support is untested. Installation ============ **From version 2.43.0, the ecCodes Python bindings on PyPi will depend on the PyPi package 'eccodeslib' on Linux and MacOS. This package provides the binary ecCodes library. On Windows, the ecCodes Python bindings will continue to directly provide the ecCodes binary library without a dependency on eccodeslib. See below for details.** Installation from PyPI ---------------------- The package can be installed from PyPI with:: $ pip install eccodes This installation will, by default, include the ecCodes binary library (either supplied by the 'eccodes' package on Windows, or via the 'eccodeslib' package on Linux and MacOS), meaning that no external ecCodes binary library is required. Bypassing the provided binary library ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Linux and MacOS +++++++++++++++ If you have an external ecCodes binary library that you wish to use, consult the documentation of the `findlibs `_ package, which is used by the ecCodes Python bindings to locate the binary library. This allows the use of environment variables to refine the search algorithm. Windows +++++++ If you have an external ecCodes binary library that you wish to use, set the following environment variable before you import eccodes:: $ export ECCODES_PYTHON_USE_FINDLIBS=1 If this is set, the ecCodes' Python bindings will use the `findlibs `_ package to locate the binary library. You may also install a version of ecCodes' Python interface that does not include a binary library at all, in which case the findlibs mechanism will be used as before:: $ pip install eccodes --no-binary eccodes See also 'Debugging the library search', below. Installation from conda ----------------------- ecCodes' Python bindings can be installed from the `conda-forge `_ channel with:: $ conda install -c conda-forge python-eccodes This will install the Python bindings (`python-eccodes`) and also the ecCodes binary library (`eccodes`) on which they depend. System dependencies ------------------- The Python module depends on the ECMWF *ecCodes* binary library. From version 2.37.0, this library is supplied with the Python module on both PyPi and conda, as described above. If you wish to install and use a separate binary library (see above), it must be installed on the system and accessible as a shared library. On a MacOS with HomeBrew use:: $ brew install eccodes Or if you manage binary packages with *Conda* but use Python bindings from elsewhere, use:: $ conda install -c conda-forge eccodes As an alternative you may install the official source distribution by following the instructions at https://confluence.ecmwf.int/display/ECC/ecCodes+installation You may run a simple selfcheck command to ensure that your system is set up correctly:: $ python -m eccodes selfcheck Found: ecCodes v2.42.0. Your system is ready. Debugging the library search ---------------------------- In order to gain insights into the search for the binary library, set the following environment variable before importing eccodes:: $ export ECCODES_PYTHON_TRACE_LIB_SEARCH=1 Usage ----- See examples of how to use the high-level BUFR interface: `BUFR_Tour.md `_ and `BUFR_Snippets.md `_. Refer to the *ecCodes* `documentation pages `_ for usage. Experimental features ===================== Fast bindings ------------- To test the much faster *CFFI* API level, out-of-line mode you need the *ecCodes* header files. Then you need to clone the repo in the same folder as your *ecCodes* source tree, make a ``pip`` development install and custom compile the binary bindings:: $ git clone https://github.com/ecmwf/eccodes-python $ cd eccodes-python $ pip install -e . $ python builder.py To revert back to ABI level, in-line mode just remove the compiled bindings:: $ rm gribapi/_bindings.* Project resources ================= ============= ========================================================= Development https://github.com/ecmwf/eccodes-python Download https://pypi.org/project/eccodes ============= ========================================================= Contributing ============ The main repository is hosted on GitHub, testing, bug reports and contributions are highly welcomed and appreciated: https://github.com/ecmwf/eccodes-python Please see the CONTRIBUTING.rst document for the best way to help. Maintainers: - `Shahram Najm `_ - `ECMWF `_ - `Eugen Betke `_ - `ECMWF `_ Contributors: - `Iain Russell `_ - `ECMWF `_ - `Alessandro Amici `_ - `B-Open `_ See also the list of other `contributors `_ who participated in this project. .. |copy| unicode:: U+000A9 .. COPYRIGHT SIGN License ======= |copy| Copyright 2017- ECMWF. This software is licensed under the terms of the Apache Licence Version 2.0 which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction. ecmwf-eccodes-python-b43a0f2/scripts/0000775000175000017500000000000015172126764020026 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/scripts/copy-dlls.py0000664000175000017500000000252115172126764022306 0ustar alastairalastair#!/usr/bin/env python # # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # import os import shutil import sys from dlldiag.common import ModuleHeader VCPKG1 = "C:/vcpkg/installed/{}-windows/bin/{}" VCPKG2 = "C:/vcpkg/installed/{}-windows/debug/bin/{}" def scan_module(module, depth, seen): name = os.path.basename(module) if name in seen: return if not os.path.exists(module): return print(" " * depth, module) seen[name] = module header = ModuleHeader(module) cwd = os.path.dirname(module) architecture = header.getArchitecture() for dll in header.listAllImports(): # print("DEBUG", dll) scan_module((cwd + "/" + dll), depth + 3, seen) scan_module(VCPKG1.format(architecture, dll), depth + 3, seen) scan_module(VCPKG2.format(architecture, dll), depth + 3, seen) seen = {} scan_module(sys.argv[1], 0, seen) for k, v in seen.items(): target = sys.argv[2] + "/" + k print("Copy", v, "to", target) shutil.copyfile(v, target) ecmwf-eccodes-python-b43a0f2/scripts/requirements.txt0000664000175000017500000000002315172126764023305 0ustar alastairalastairrequests html2text ecmwf-eccodes-python-b43a0f2/scripts/versions.sh0000775000175000017500000000110015172126764022225 0ustar alastairalastair#!/usr/bin/env bash # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. set -eaux cat versions cd src for n in * do cd $n url=$(git remote -v | head -1 | awk '{print $2;}') sha1=$(git rev-parse HEAD) echo git $url $sha1 cd .. done cd .. ecmwf-eccodes-python-b43a0f2/scripts/common.sh0000775000175000017500000000221115172126764021651 0ustar alastairalastair#!/usr/bin/env bash # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. set -eaux rm -f versions GIT_ECBUILD=https://github.com/ecmwf/ecbuild.git ECBUILD_VERSION=master GIT_ECCODES=https://github.com/ecmwf/eccodes.git ECCODES_VERSION=2.47.0 ECCODES_COMMON_CMAKE_OPTIONS="-DENABLE_PNG=1 -DENABLE_JPG=1 -DENABLE_NETCDF=0 -DENABLE_EXAMPLES=0" GIT_AEC=https://github.com/MathisRosenhauer/libaec.git AEC_VERSION=v1.1.4 rm -fr src build build-binaries git clone --branch $ECBUILD_VERSION --depth=1 $GIT_ECBUILD src/ecbuild git clone --branch $ECCODES_VERSION --depth=1 $GIT_ECCODES src/eccodes mkdir -p build-binaries/eccodes TOPDIR=$(/bin/pwd) echo "================================================================================" env | sort echo "================================================================================" ecmwf-eccodes-python-b43a0f2/scripts/copy-licences.py0000664000175000017500000000673615172126764023151 0ustar alastairalastair#!/usr/bin/env python # # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # import json import re import sys import requests from html2text import html2text def identity(x): return x ENTRIES = { "libeccodes": { "home": "https://github.com/ecmwf/eccodes", "copying": "https://raw.githubusercontent.com/ecmwf/eccodes/develop/LICENSE", }, "libpng": { "home": "https://github.com/glennrp/libpng", "copying": "https://raw.githubusercontent.com/glennrp/libpng/libpng16/LICENSE", }, "libaec": { "home": "https://github.com/MathisRosenhauer/libaec", "copying": "https://raw.githubusercontent.com/MathisRosenhauer/libaec/master/LICENSE.txt", }, "libjasper": { "home": "https://github.com/jasper-software/jasper", "copying": "https://raw.githubusercontent.com/jasper-software/jasper/master/LICENSE.txt", }, "libopenjp2": { "home": "https://github.com/uclouvain/openjpeg", "copying": "https://raw.githubusercontent.com/uclouvain/openjpeg/master/LICENSE", }, "libopenjpeg": { "home": "https://code.google.com/archive/p/openjpeg/", "copying": "https://raw.githubusercontent.com/uclouvain/openjpeg/master/LICENSE", }, "libjpeg": { "home": "http://ijg.org", "copying": "https://jpegclub.org/reference/libjpeg-license/", "html": True, }, "libzlib1": { "home": "https://www.zlib.net/", "copying": "https://www.zlib.net/zlib_license.html", "html": True, }, } PATTERNS = { r"^libpng\d+$": "libpng", r"^libproj(_\d+)+$": "libproj", } ALIASES = { "libeccodes_memfs": "libeccodes", } if False: for e in ENTRIES.values(): if isinstance(e, dict): copying = e["copying"] if copying.startswith("http"): requests.head(copying).raise_for_status() libs = {} missing = [] seen = set() for line in open(sys.argv[1], "r"): # noqa: C901 lib = "-no-regex-" lib = line.strip().split("/")[-1] lib = lib.split("-")[0].split(".")[0] if lib == "": continue if not lib.startswith("lib"): lib = f"lib{lib}" for k, v in PATTERNS.items(): if re.match(k, lib): lib = v lib = ALIASES.get(lib, lib) if lib not in ENTRIES: missing.append((lib, line)) continue if lib in seen: continue seen.add(lib) e = ENTRIES[lib] if e is None: continue libs[lib] = dict(path=f"copying/{lib}.txt", home=e["home"]) copying = e["copying"] filtering = identity if e.get("html"): filtering = html2text with open(f"eccodes/copying/{lib}.txt", "w") as f: if copying.startswith("http://") or copying.startswith("https://"): r = requests.get(copying) r.raise_for_status() for n in filtering(r.text).split("\n"): print(n, file=f) else: for n in copying.split("\n"): print(n, file=f) with open("eccodes/copying/list.json", "w") as f: print(json.dumps(libs), file=f) assert len(missing) == 0, json.dumps(missing, indent=4, sort_keys=True) ecmwf-eccodes-python-b43a0f2/scripts/build-windows.sh0000664000175000017500000000545715172126764023164 0ustar alastairalastair #!/usr/bin/env bash # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. set -eaux source scripts/common.sh here=$(pwd) cd $VCPKG_INSTALLATION_ROOT url=$(git remote -v | head -1 | awk '{print $2;}') sha1=$(git rev-parse HEAD) cd $here echo git $url $sha1 > versions # the results of the following suggested that pkg-config.exe is not installed on the latest # Windows runner #find /c/ -name pkg-config.exe #exit 1 # if [[ $WINARCH == "x64" ]]; then # PKG_CONFIG_EXECUTABLE=/c/rtools43/mingw64/bin/pkg-config.exe # else # PKG_CONFIG_EXECUTABLE=/c/rtools43/mingw32/bin/pkg-config.exe # fi vcpkg install pkgconf for p in libpng openjpeg do vcpkg install $p:$WINARCH-windows n=$(echo $p | sed 's/\[.*//') v=$(vcpkg list $n | awk '{print $2;}') echo "vcpkg $n $v" >> versions done echo ================================================================= find $VCPKG_INSTALLATION_ROOT -type f -name png.h -print echo ================================================================= pip install ninja wheel dll-diagnostics echo "pip $(pip freeze | grep dll-diagnostics | sed 's/==/ /')" >> versions # Build libaec git clone $GIT_AEC src/aec cd src/aec git checkout $AEC_VERSION cd $TOPDIR mkdir -p build-binaries/aec cd build-binaries/aec cmake \ $TOPDIR/src/aec -G"NMake Makefiles" \ -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_INSTALL_PREFIX=$TOPDIR/install \ -DCMAKE_TOOLCHAIN_FILE=/c/vcpkg/scripts/buildsystems/vcpkg.cmake \ -DCMAKE_C_COMPILER=cl.exe cd $TOPDIR cmake --build build-binaries/aec --target install # Build eccodes cd $TOPDIR/build-binaries/eccodes $TOPDIR/src/ecbuild/bin/ecbuild \ $TOPDIR/src/eccodes \ -G"NMake Makefiles" \ -DCMAKE_BUILD_TYPE=RelWithDebInfo \ -DENABLE_PYTHON=0 \ -DENABLE_FORTRAN=0 \ -DENABLE_BUILD_TOOLS=0 \ -DENABLE_MEMFS=1 \ -DENABLE_INSTALL_ECCODES_DEFINITIONS=0 \ -DENABLE_INSTALL_ECCODES_SAMPLES=0 \ -DCMAKE_INSTALL_PREFIX=$TOPDIR/install \ -DCMAKE_TOOLCHAIN_FILE=/c/vcpkg/scripts/buildsystems/vcpkg.cmake \ -DCMAKE_C_COMPILER=cl.exe $ECCODES_COMMON_CMAKE_OPTIONS # -DPKG_CONFIG_EXECUTABLE=$PKG_CONFIG_EXECUTABLE cd $TOPDIR cmake --build build-binaries/eccodes --target install # Create wheel rm -fr dist wheelhouse eccodes/share python scripts/copy-dlls.py install/bin/eccodes.dll eccodes/ pip install -r scripts/requirements.txt find eccodes -name '*.dll' > libs cat libs python ./scripts/copy-licences.py libs mkdir -p install/include ./scripts/versions.sh > eccodes/versions.txt ecmwf-eccodes-python-b43a0f2/scripts/wheel-windows.sh0000664000175000017500000000107115172126764023155 0ustar alastairalastair#!/usr/bin/env bash # (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. set -eaux pip install wheel setuptools rm -fr dist wheelhouse ecmwflibs.egg-info build python setup.py --binary-wheel bdist_wheel mv dist wheelhouse ls -l wheelhouse ecmwf-eccodes-python-b43a0f2/builder.py0000664000175000017500000000066315172126764020344 0ustar alastairalastairimport logging import sys import cffi ffibuilder = cffi.FFI() ffibuilder.set_source( "gribapi._bindings", "#include ", libraries=["eccodes"], ) ffibuilder.cdef(open("gribapi/grib_api.h").read() + open("gribapi/eccodes.h").read()) if __name__ == "__main__": try: ffibuilder.compile(verbose=True) except Exception: logging.exception("can't compile ecCodes bindings") sys.exit(1) ecmwf-eccodes-python-b43a0f2/.vscode/0000775000175000017500000000000015172126764017700 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/.vscode/settings.json0000664000175000017500000000004715172126764022434 0ustar alastairalastair{ "restructuredtext.confPath": "" }ecmwf-eccodes-python-b43a0f2/CHANGELOG.rst0000664000175000017500000002060215172126764020360 0ustar alastairalastair Changelog for eccodes-python ============================ 2.47.0 (2026-04-21) -------------------- - Bump pygments from 2.15.0 to 2.20.0 in /ci (#164) - Bump requests from 2.32.4 to 2.33.0 in /ci (#163) 2.46.0 (2026-02-24) -------------------- - ECC-2219: High-level BUFR interface: set method not working for data keys - ECC-2220: Fix inadvertent string truncation in uncompressed BUFR messages - Fix path to BUFR md files - Add support for Python version 3.14 2.45.0 (2025-01-16) -------------------- - GitHub issue 372: Option "--no-binary" does not work See: `#372 `_. - GitHub issue 145: test run fails See: `#145 `_. 2.44.0 (2025-10-03) -------------------- - ECC-2102: Improved high-level interface for BUFR - ECC-2108: Implement a way of switching off error output to stderr - GitHub pull request #129: Update MemoryReader to read more than one field 2.43.0 (2025-07-24) -------------------- - ECC-2106: Use eccodeslib instead of own-built binaries 2.42.0 (2025-06-25) -------------------- - ECC-2081: Allow memoryview as input to codes_new_from_message - ECC-2086: GRIB: getting the bitmap using up all the memory - ECC-2072: high-level 'get' function should return default value if key is not implemented 2.41.0 (2025-04-10) -------------------- - ECC-2034: GRIB encoding: Data quality checks via the API - GitHub pull request #124: Add basic BUFR support (high-level interface) 2.40.1 (2025-03-17) -------------------- - Update version to be the same as the ecCodes library 2.40.0 (2025-02-12) -------------------- - Update version to be the same as the ecCodes library 2.39.2 (2025-01-27) -------------------- - GitHub pull request #109: Allow setting of array in highlevel.Message.set - Add support for Python version 3.13 2.39.1 (2024-12-10) -------------------- - Build wheel with thread-safety enabled 2.39.0 (2024-11-25) -------------------- - ECC-1972: Support Windows with binary wheel - Update to artifact actions v4 2.38.3 (2024-10-17) -------------------- - Update version to be the same as the ecCodes library 2.38.1 (2024-09-26) -------------------- - ECC-1923: ecCodes binary wheel can affect floating-point computations in Python 2.38.0 (2024-09-25) -------------------- - ECC-1790: Add codes_get_offset - ECC-1899: API function to allow setting debug level - Function to query library features 2.37.0 (2024-09-09) ------------------- - bundle ecCodes binary library with the PyPi distribution, for Linux and MacOS 1.7.1 (2024-06-19) -------------------- - `np.Infinity` was removed in the NumPy 2.0 release 1.7.0 (2024-02-26) -------------------- - ECC-1761: Add function to extract message offsets and sizes - ECC-1742: Add function to clone only the meta-data of a message 1.6.1 (2023-10-02) -------------------- - ECC-1693: Update minimum recommended version - Fix flake8 warning E721 1.6.0 (2023-07-11) -------------------- - ECC-1630: Get API version as an integer - ECC-1622: Drop Python version 3.7 - ECC-1601: GRIB: Support data values array decoded in single-precision - ECC-1611: Add function to determine if a BUFR key is a coordinate descriptor 1.5.2 (2023-04-04) -------------------- - Add support for Python versions 3.10 and 3.11 - ECC-1555: 2D numpy array incorrectly handled - ECC-1539: Use the 'warnings' library for selfcheck - ECC-1538: Add support for CODES_TYPE_BYTES - ECC-1524: Check values in High-level Message.set function should retrieve based on value type - ECC-1527: Handle floats in high-level Message.set function check values 1.5.1 (2023-01-25) -------------------- - ECC-1446: Data file era5-levels-members.grib not included in released tar file - ECC-1460: Cannot import eccodes on M1 MacBook Pro - ECC-1505: High-level Message.set function should allow dictionary and check result 1.5.0 (2022-08-25) -------------------- - ECC-1404: Add the grib_get_gaussian_latitudes() function - ECC-1405: Add new function: codes_any_new_from_samples - ECC-1415: Implement a higher-level Python interface (still experimental) - ECC-1429: Remove the file 'eccodes/messages.py' - GitHub pull request #62: add pypi badge 1.4.2 (2022-05-20) -------------------- - ECC-1389: Drop Python version 3.5 and 3.6 - ECC-1390: NameError: name 'GribInternalError' is not defined - Add test for GRIB bitmap 1.4.1 (2022-03-03) -------------------- - ECC-1351: Support numpy.int64 in codes_set() and codes_set_long() - ECC-1317: Data file tiggelam_cnmc_sfc.grib2 not included in released tar file 1.4.0 (2021-12-03) -------------------- - ECC-1234: Remove the experimental high-level interface - ECC-1282: Add codes_dump() 1.3.4 (2021-08-27) -------------------- - Update documentation 1.3.3 (2021-06-21) -------------------- - ECC-1246: UnicodeDecodeError when parsing BUFR file 1.3.2 (2021-04-16) -------------------- - Restore the experimental high-level interface 1.3.1 (2021-04-16) -------------------- - Fix the recommended version 1.3.0 (2021-04-09) -------------------- - ECC-1231: Remove the experimental high-level interface - Added the "findlibs" module - Fix tests/test_high_level_api.py when MEMFS enabled - ECC-1226: Python3 bindings: Typo causes AttributeError when calling codes_index_get_double 1.2.0 (2021-03-23) -------------------- - Added test for multi-field GRIBs - Fix deprecation warning: `np.float` is a deprecated alias for the builtin `float` - Experimental feature: grib_nearest_find 1.1.0 (2021-01-20) -------------------- - ECC-1171: Performance: Python bindings: remove assert statements - ECC-1161: Python3 bindings: Do not raise exception on first failed attempt - ECC-1176: Python3 bindings: float32 recognised as int instead of float - GitHub pull request #41: Remove the apparent support for Python 2 - GitHub pull request #44: Fix CFFI crash on windows - GitHub pull request #42: Add unit testing with GitHub actions (linux, macos and windows) 1.0.0 (2020-10-14) -------------------- - ECC-1143: CMake: Migration to ecbuild v3.4 - ECC-1133: C API: Propagate const char* for codes_index_new_from_file and codes_index_select_string 0.9.9 (2020-08-04) ------------------- - Support for ecmwflibs. An additional way to find ECMWF libraries (if available) - ECC-1140: Segfault from invalid pointer reference in grib_set_double_array() 0.9.8 (2020-06-26) ------------------- - ECC-1110: Removed obsolete function codes_close_file() - Provide missing argument to exceptions - Fix codes_set_definitions_path() typo - Fix grib_get_double_element(). Missing last argument - Add more tests to increase coverage - GitHub pull request #15: Add .__next__() method to eccodes.CodesFile class - ECC-1113: Python3 bindings under Windows: codes_get_long_array returns incorrect values - ECC-1108: Python3 bindings under Windows: use of handle causes crash - ECC-1121: Segfault when closing GribFile if messages are closed manually 0.9.6 (2020-03-10) ------------------- - Update Copyright notices - Function-argument type checks: Improve error message - Fix C function calls for codes_gribex_mode_on/codes_gribex_mode_off 0.9.5 (2020-01-15) ------------------- - ECC-1029: Function-argument type-checking should be disabled by default. To enable these checks, export ECCODES_PYTHON_ENABLE_TYPE_CHECKS=1 - ECC-1032: Added codes_samples_path() and codes_definition_path() - ECC-1042: Python3 interface writes integer arrays incorrectly - ECC-794: Python3 interface: Expose the grib_get_data function 0.9.4 (2019-11-27) ------------------ - Added new function: codes_get_version_info - ECC-753: Expose the codes_grib_nearest_find_multiple function in Python - ECC-1007: Python3 interface for eccodes cannot write large arrays 0.9.3 (2019-10-04) ------------------ - New exception added: FunctionalityNotEnabledError - BUFR decoding: support for multi-element constant arrays (ECC-428) 0.9.2 (2019-07-09) ------------------ - All ecCodes tests now pass - Simplify the xx_new_from_file calls - Fix for grib_set_string_array - Use ECCODES_DIR to locate the library - Remove the new-style high-level interface. It is still available in `cfgrib `_. 0.9.1 (2019-06-06) ------------------ - ``codes_get_long_array`` and ``codes_get_double_array`` now return a ``np.ndarray``. See: `#3 `_. 0.9.0 (2019-05-07) ------------------ - Declare the project as **Beta**. 0.8.0 (2019-04-08) ------------------ - First public release. ecmwf-eccodes-python-b43a0f2/setup.py0000664000175000017500000001027415172126764020055 0ustar alastairalastair#!/usr/bin/env python # # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # import io import os import re import sys import setuptools binary = os.getenv("DEPEND_ON_ECCODESLIB", "") == "1" def read(path): file_path = os.path.join(os.path.dirname(__file__), *path.split("/")) return io.open(file_path, encoding="utf-8").read() # single-sourcing the package version using method 1 of: # https://packaging.python.org/guides/single-sourcing-package-version/ def parse_version_from(path): version_pattern = ( r"^__version__ = [\"\'](.*)[\"\']" # More permissive regex pattern ) version_file = read(path) version_match = re.search(version_pattern, version_file, re.M) if version_match is None or len(version_match.groups()) > 1: raise ValueError("couldn't parse version") return version_match.group(1) # for the binary wheel libdir = os.path.realpath("install/lib") incdir = os.path.realpath("install/include") libs = ["eccodes"] if "--binary-wheel" in sys.argv: sys.argv.remove("--binary-wheel") # https://setuptools.pypa.io/en/latest/userguide/ext_modules.html ext_modules = [ setuptools.Extension( "eccodes._eccodes", sources=["eccodes/_eccodes.cc"], language="c++", libraries=libs, library_dirs=[libdir], include_dirs=[incdir], extra_link_args=["-Wl,-rpath," + libdir], ) ] def shared(directory): result = [] for path, dirs, files in os.walk(directory): for f in files: result.append(os.path.join(path, f)) return result # Paths must be relative to package directory... shared_files = ["versions.txt"] shared_files += [x[len("eccodes/") :] for x in shared("eccodes/copying")] if os.name == "nt": for n in os.listdir("eccodes"): if n.endswith(".dll"): shared_files.append(n) else: ext_modules = [] shared_files = [] install_requires = ["numpy"] if sys.version_info < (3, 7): install_requires = ["numpy<1.20"] elif sys.version_info < (3, 8): install_requires = ["numpy<1.22"] elif sys.version_info < (3, 9): install_requires = ["numpy<1.25"] install_requires += [ "attrs", "cffi", "findlibs", ] # only add eccodeslib as dependency if building a distribution that should depend on it if binary: install_requires += [ "eccodeslib;platform_system!='Windows'", ] setuptools.setup( name="eccodes", version=parse_version_from("gribapi/bindings.py"), description="Python interface to the ecCodes GRIB and BUFR decoder/encoder", long_description=read("README.rst") + read("CHANGELOG.rst"), author="European Centre for Medium-Range Weather Forecasts (ECMWF)", author_email="software.support@ecmwf.int", license="Apache License Version 2.0", url="https://github.com/ecmwf/eccodes-python", packages=setuptools.find_packages(), include_package_data=True, package_data={"": shared_files}, install_requires=install_requires, tests_require=[ "pytest", "pytest-cov", "pytest-flakes", ], test_suite="tests", zip_safe=True, keywords="ecCodes GRIB BUFR", classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Operating System :: OS Independent", ], ext_modules=ext_modules, ) ecmwf-eccodes-python-b43a0f2/.dockerignore0000664000175000017500000000012415172126764021010 0ustar alastairalastair.cache .docker-tox .coverage .eggs .git .tox build dist htmlcov tests/sample-data/* ecmwf-eccodes-python-b43a0f2/Makefile0000664000175000017500000000514615172126764020005 0ustar alastairalastair PACKAGE := eccodes-python IMAGE := $(PACKAGE)-image MODULE := eccodes PYTHONS := python3.9 pypy3 PYTHON := python PYTESTFLAGS_TEST := -v --flakes --doctest-glob '*.rst' --cov=$(MODULE) --cov-report=html --cache-clear PYTESTFLAGS_QC := --pep8 --mccabe $(PYTESTFLAGS_TEST) export WHEELHOUSE := ~/.wheelhouse export PIP_FIND_LINKS := $(WHEELHOUSE) export PIP_WHEEL_DIR := $(WHEELHOUSE) export PIP_INDEX_URL DOCKERBUILDFLAGS := --build-arg PIP_INDEX_URL=$(PIP_INDEX_URL) DOCKERFLAGS := -e WHEELHOUSE=$(WHEELHOUSE) \ -e PIP_FIND_LINKS=$(PIP_FIND_LINKS) \ -e PIP_WHEEL_DIR=$(PIP_WHEEL_DIR) \ -e PIP_INDEX_URL=$(PIP_INDEX_URL) PIP := $(PYTHON) -m pip MKDIR = mkdir -p ifeq ($(shell [ -d $(WHEELHOUSE) ] && echo true),true) DOCKERFLAGS += -v $(WHEELHOUSE):/root/.wheelhouse endif RUNTIME := $(shell [ -f /proc/1/cgroup ] && cat /proc/1/cgroup | grep -q docker && echo docker) ifneq ($(RUNTIME),docker) override TOXFLAGS += --workdir=.docker-tox RUN = docker run --rm -it -v$$(pwd):/src -w/src $(DOCKERFLAGS) $(IMAGE) endif default: @echo No default # local targets $(PIP_FIND_LINKS): $(MKDIR) $@ local-wheelhouse-one: $(PIP) install wheel $(PIP) wheel -r ci/requirements-tests.txt $(PIP) wheel -r ci/requirements-docs.txt local-wheelhouse: for PYTHON in $(PYTHONS); do $(MAKE) local-wheelhouse-one PYTHON=$$PYTHON; done $(PIP) wheel -r ci/requirements-dev.txt local-install-dev-req: $(PIP) install -r ci/requirements-dev.txt local-install-test-req: $(PIP_FIND_LINKS) $(PIP) install -r ci/requirements-tests.txt $(PIP) install -r ci/requirements-docs.txt local-develop: $(PIP) install -e . local-wheel: $(PIP) wheel -e . testclean: $(RM) -r */__pycache__ .coverage .cache tests/.ipynb_checkpoints *.idx tests/sample-data/*.idx out*.grib clean: testclean $(RM) -r */*.pyc htmlcov dist build .eggs distclean: clean $(RM) -r .tox .docker-tox *.egg-info cacheclean: $(RM) -r $(WHEELHOUSE)/* ~/.cache/* # container targets shell: $(RUN) notebook: DOCKERFLAGS += -p 8888:8888 notebook: $(RUN) jupyter notebook --ip=0.0.0.0 --allow-root wheelhouse: $(RUN) make local-wheelhouse update-req: $(RUN) pip-compile -o ci/requirements-tests.txt -U setup.py ci/requirements-tests.in $(RUN) pip-compile -o ci/requirements-docs.txt -U setup.py ci/requirements-docs.in test: testclean $(RUN) $(PYTHON) setup.py test --addopts "$(PYTESTFLAGS_TEST)" qc: testclean $(RUN) $(PYTHON) setup.py test --addopts "$(PYTESTFLAGS_QC)" doc: $(RUN) $(PYTHON) setup.py build_sphinx tox: testclean $(RUN) tox $(TOXFLAGS) detox: testclean $(RUN) detox $(TOXFLAGS) # image build image: docker build -t $(IMAGE) $(DOCKERBUILDFLAGS) . ecmwf-eccodes-python-b43a0f2/tox.ini0000664000175000017500000000220515172126764017651 0ustar alastairalastair[tox] envlist = docs, py38, py37, py36, py35, pypy3, deps [testenv] passenv = WHEELHOUSE,PIP_FIND_LINKS,PIP_WHEEL_DIR,PIP_INDEX_URL setenv = PYTHONPATH = {toxinidir} deps = -r{toxinidir}/ci/requirements-tests.txt commands = pytest -v --flakes --cache-clear --basetemp={envtmpdir} {posargs} [testenv:docs] deps = -r{toxinidir}/ci/requirements-docs.txt commands = sphinx-build -W -b html docs build/sphinx/html [testenv:qc] basepython = python3.9 # needed for pytest-cov usedevelop = true commands = pytest -v --flakes --pep8 --mccabe --cov=eccodes --doctest-glob="*.rst" --cov-report=html --cache-clear --basetemp={envtmpdir} {posargs} [testenv:deps] deps = commands = python setup.py test [flake8] alias pip='pip --disable-pip-version-check' ; F401 = imported but unused ; F405 = may be undefined, or defined from star imports ; F403 = import * used; unable to detect undefined names ; W503 = line break before binary operator (set by 'black') ; ignore = F401,F405,F403,W503 max-line-length = 120 ; exclude = tests/* max-complexity = 12 ; See https://black.readthedocs.io/en/stable/the_black_code_style.html extend-ignore = E203 [isort] profile=black ecmwf-eccodes-python-b43a0f2/eccodes/0000775000175000017500000000000015172126764017744 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/eccodes/__init__.py0000664000175000017500000000070315172126764022055 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # # from .eccodes import * # noqa from .highlevel import * # noqa ecmwf-eccodes-python-b43a0f2/eccodes/copying/0000775000175000017500000000000015172126764021414 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/eccodes/copying/.gitignore0000664000175000017500000000001515172126764023400 0ustar alastairalastair*.txt *.json ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/0000775000175000017500000000000015172126764021713 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/eccodes/highlevel/__init__.py0000664000175000017500000000023415172126764024023 0ustar alastairalastairfrom ._bufr import BUFRMessage # noqa from .message import GRIBMessage, Message # noqa from .reader import FileReader, MemoryReader, StreamReader # noqa ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/reader.py0000664000175000017500000001100615172126764023525 0ustar alastairalastairimport eccodes import gribapi from gribapi import ffi from .message import BUFRMessage, GRIBMessage _MSG_CLASSES = { eccodes.CODES_PRODUCT_GRIB: GRIBMessage, eccodes.CODES_PRODUCT_BUFR: BUFRMessage, } class ReaderBase: def __init__(self, kind=eccodes.CODES_PRODUCT_GRIB): self._peeked = None self._kind = kind cls = _MSG_CLASSES.get(kind) if cls is None: raise ValueError(f"Unsupported product type {kind}") self._msg_class = cls def __iter__(self): return self def __next__(self): if self._peeked is not None: msg = self._peeked self._peeked = None return msg handle = self._next_handle() if handle is None: raise StopIteration return self._msg_class(handle) def _next_handle(self): raise NotImplementedError def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): pass def peek(self): """Return the next available message without consuming it""" if self._peeked is None: handle = self._next_handle() if handle is not None: self._peeked = self._msg_class(handle) return self._peeked class FileReader(ReaderBase): """Read messages from a file""" def __init__(self, path, kind=eccodes.CODES_PRODUCT_GRIB): super().__init__(kind=kind) self.file = open(path, "rb") def _next_handle(self): return eccodes.codes_new_from_file(self.file, self._kind) def __enter__(self): self.file.__enter__() return self def __exit__(self, exc_type, exc_value, traceback): return self.file.__exit__(exc_type, exc_value, traceback) class MemoryReader(ReaderBase): """Read messages from memory""" def __init__(self, buf, kind=eccodes.CODES_PRODUCT_GRIB): super().__init__(kind=kind) self.buf = buf self._index = 0 def _next_handle(self): if self.buf is None: return None handle = eccodes.codes_new_from_message(self.buf[self._index :]) try: handle_length = eccodes.codes_get(handle, "totalLength") except eccodes.GribInternalError: return None self._index += handle_length if self._index >= len(self.buf): self.buf = None return handle try: @ffi.callback("long(*)(void*, void*, long)") def pyread_callback(payload, buf, length): stream = ffi.from_handle(payload) read = stream.read(length) n = len(read) ffi.buffer(buf, length)[:n] = read return n if n > 0 else -1 # -1 means EOF except MemoryError: # ECC-1460 ffi.callback raises a MemoryError if it cannot allocate write+execute memory pyread_callback = None try: cstd = ffi.dlopen(None) # Raises OSError on Windows ffi.cdef("void free(void* pointer);") ffi.cdef( "void* wmo_read_any_from_stream_malloc(void*, long (*stream_proc)(void*, void*, long), size_t*, int*);" ) except OSError: cstd = None def codes_new_from_stream(stream): if cstd is None: raise OSError("This feature is not supported on Windows") if pyread_callback is None: raise OSError( "This feature cannot be used because the OS prevents allocating write+execute memory" ) sh = ffi.new_handle(stream) length = ffi.new("size_t*") err = ffi.new("int*") err, buf = gribapi.err_last(gribapi.lib.wmo_read_any_from_stream_malloc)( sh, pyread_callback, length ) buf = ffi.gc(buf, cstd.free, size=length[0]) if err: if err != gribapi.lib.GRIB_END_OF_FILE: gribapi.GRIB_CHECK(err) return None # TODO: remove the extra copy? handle = gribapi.lib.grib_handle_new_from_message_copy(ffi.NULL, buf, length[0]) if handle == ffi.NULL: return None else: return gribapi.put_handle(handle) class StreamReader(ReaderBase): """Read messages from a stream (an object with a ``read`` method)""" def __init__(self, stream, kind=eccodes.CODES_PRODUCT_GRIB): if cstd is None: raise OSError("This feature is not supported on Windows") if pyread_callback is None: raise OSError( "This feature cannot be used because the OS prevents allocating write+execute memory" ) super().__init__(kind=kind) self.stream = stream def _next_handle(self): return codes_new_from_stream(self.stream) ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/0000775000175000017500000000000015172126764023010 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/__init__.py0000664000175000017500000000047115172126764025123 0ustar alastairalastair""" A High-level interface for en/decoding of BUFR files. """ from .common import change_behaviour, get_behaviour, set_behaviour from .helpers import missing_of from .message import BUFRMessage __all__ = [ "change_behaviour", "get_behaviour", "set_behaviour", "missing_of", "BUFRMessage", ] ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/BUFR_Tour.md0000664000175000017500000002737115172126764025113 0ustar alastairalastair# BUFR Tour This document showcases some of the features of the high-level BUFR interface. To follow along make sure you've imported `eccodes.highlevel` module: ```python >>> from eccodes.highlevel import * ``` ### Reading messages from a file To read a BUFR message from a file, pass the file object to the `BUFRMessage` constructor: ```python >>> file = open('sample-data/temp.bufr', 'rb'): >>> bufr = BUFRMessage(file) >>> bufr ``` Each time we call the `BUFRMessage` constructor (on the same file) we will get the next BUFR message; that is until we reached the EOF. A more idiomatic way to iterate through a file is to use the `FileReader` class: ```python >>> for bufr in FileReader('file.bufr', eccodes.CODES_PRODUCT_BUFR): ... ``` Note that we didn't have to release any resources explicitly. The `BUFRMessage` object, with its underlying C handle, will be released automatically when collected by the Python's garbage collector. The `BUFRMessage` object can also be used as a context manager: ```python >>> for bufr in FileReader('file.bufr', eccodes.CODE_PRODUCT_BUFR): with bufr: ... ``` This will ensure that `BUFRMessage` resources (including the underlying C handle) are properly released _right after use_, even in the occurrence of exception. ### Inspecting messages The most straightforward way to inspect the contents of a BUFR message is by printing it with the built-in `print()` function: ```python >>> print(bufr) ... ``` This pretty prints the message in a dict-like representation which is obtain via the `as_dict()` method. We can call the `as_dict()` method ourselves, which will return the actual dictionary, not a string: ``` ```python >>> bufr.as_dict() ... ``` `as_dict()` provides many useful options such as listing keys with their rank prefixes or changing the depth of expansion of hierarchical data section blocks. ### Getting and setting values The `BUFRMessage` class provides a dict-like interface for accessing keys and values: ```python >>> bufr['stationNumber'] 60 >>> bufr['someUndefinedKey'] Traceback (most recent call last): ... eccodes.KeyValueNotFoundError: 'someUndefinedKey' >> bufr.get('someUndefinedKey', 12345) 12345 ``` Note that array values are always returned as masked arrays: ```python >>> bufr['airTemperature'] masked_array(data=[--, 272.3, --, --, 270.5, --, 266.90000000000003, --, --, --, --, 257.90000000000003, --, --, --, --, --, --, --, --, --, 238.70000000000002, --, --, --, --, --, --, --, 225.3, --], mask=[ True, False, True, True, False, True, False, True, True, True, True, False, True, True, True, True, True, True, True, True, True, False, True, True, True, True, True, True, True, False, True], fill_value=-1e+100) ``` Individual elements can be accessed using a special key syntax with a rank prefix: ```python >>> bufr['#2#airTemperature'] 272.3 ``` Setting values is straightforward: ```python >>> bufr['airTemperature'] = 273.15 masked_array(data=[273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15, 273.15], mask=[False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False], fill_value=-1e+100) ``` We can use the `update()` method to update multiple items at once, for instance: ```python >>> bufr.update(year=2022, month=11, day=22) ``` Mappings and iterables are also supported: ```python >>> mapping = {'blockNumber': 12, 'stationNumber': 345} >>> bufr.update(mapping) >>> iterable = [('blockNumber', 12), ('stationNumber', 345)] >>> bufr.update(iterable) ``` Another common use of the `update()` method is to copy items within a given data block from one message the another: ```python >>> other = BUFRMessage(open('other.bufr', 'rb')) >>> bufr.data[1].update(other.data[1]) ``` ### Iterating over keys & values We can iterate over the combined header and data keys: ```python >>> for key in bufr.keys(): ... print(key) edition # more header keys... unexpandedDescriptors blockNumber # more data keys... windSpeed ``` or just over the header (or data) keys separately: ```python >>> for key in bufr.header.keys(): ... print(key) edition # more header keys... unexpandedDescriptors >>> >>> for key in bufr.data.keys(): ... print(key) blockNumber # more data keys... windSpeed ``` We can also iterate over the key-value pairs: ```python >>> for item in bufr.data.items(): ... print(item) ('blockNumber', 6) # more data items... ('windSpeed', masked_array(data=[--, 6.0, 12.0, 16.0, 15.0, 14.0, 14.0, 14.0, 12.0, 12.0, 12.0, 13.0, 13.0, 13.0, 9.0, 9.0, 9.0, 7.0, 5.0, 4.0, 7.0, 7.0, 7.0, 6.0, 7.0, 8.0, 6.0, 6.0, 5.0, 4.0, 3.0], mask=[ True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False], fill_value=-1e+100)) ``` ### Selecting items in hierarchically structured messages If the message contains one or more delayed replications, the data section is divided into blocks delineated by the replication block bounds. We can think of blocks as groups of adjacent data section items. A similar principle applies to uncompressed multi-subset messages where items of individual subsets are grouped into blocks - one block per subset. Blocks can also be nested which happens when a message contains nested replications. This division into blocks is especially useful when working with complex hierarchical structures where the same item can appear in multiple places in the message. As an example, let's take the following wind profiler message which has 4 outer replication blocks. Each of these blocks represents a different station: ```python >>> bufr = BUFRMessage(open('sample-data/rwp_jma.bufr', 'rb')) >>> len(bufr.data) 4 >>> [each['stationNumber'] for each in bufr.data] [755, 891, 893, 898] ``` Now, each of the outer blocks (stations) has another two inner blocks: ```python >>> [len(each) for each in bufr.data] [2, 2, 2, 2] ``` The first sub-block contains station metadata: ```python # 1st station's 1st sub-block (metadata) >>> list(bufr.data[0][0].keys()) ['blockNumber', 'stationNumber', 'latitude', 'longitude', 'heightOfStation', 'measuringEquipmentType'] ``` and the second sub-block represents the profile data: ```python >>> list(bufr.data[0][1].keys()) ['year', 'month', 'day', 'hour', 'minute', 'timeSignificance', 'timePeriod', 'heightAboveStation', 'u', 'v', 'w', 'signalToNoiseRatio'] ``` If we now try to get values of, say, key 'u', from the top-level view, we will be presented with an array which is a concatenation of all values across all replication blocks (i.e., all profiles of all stations combined together): ```python >>> bufr.data['u'] masked_array(data=[--, --, --, -6.4, -0.5, --, --, --, -8.5, --, --, --, --, -3.4000000000000004, --, --, --, -5.1000000000000005, --, --, --, --, --, --, 0.7000000000000001, --, -5.4, -9.0, -7.7, --, --, --, # ... 300 more values ``` This is not very helpful, though. In practice, what we really want is values of a particular profile. The easiest way to do that is to use a subscripting to get hold of the desired data blocks: ```python >>> station = bufr.data[0] >>> station_info = station[0] >>> profile = station[1] >>> profile['u'] masked_array(data=[--, --, --, -6.4, -0.5, --, --, --, -8.5, --, --, --, --, -3.4000000000000004, --, --, --, -5.1000000000000005, --, --, --, --, --, --, 0.7000000000000001], mask=[ True, True, True, False, False, True, True, True, False, True, True, True, True, False, True, True, True, False, True, True, True, True, True, True, False], fill_value=-1e+100) ``` Just a side note: using rank prefix syntax (e.g., '#1#u') wouldn't help in this case because each profile can have different number of levels, which makes the computation of the correct ranks more complicated; we won't get away with a simple arithmetic based on rank offsets in this case. To make this work we would need to calculate the ranks based on the outer and the inner replication factors, which is tedious and error prone. ### Creating a new message Let's create a new `BUFRMessage` object from a sample: ```python >>> bufr = BUFRMessage('BUFR3_local_satellite') ``` Before setting keys from the data section we first need to set the relevant template-related keys: ```python >>> bufr['masterTablesVersionNumber'] = 18 >>> bufr['numberOfSubsets'] = 5 >>> bufr['compressedData'] = 1 >>> bufr['inputShortDelayedDescriptorReplicationFactor'] = [1, 1, 1, 1, 1, 1] >>> bufr['unexpandedDescriptors'] = [311010] ``` Note that once the 'unexpandedDescriptors' key has been set, the template is "baked" and can't be modified afterwards! After this we can finally proceed with setting the data section keys: ```python >>> bufr['year'] = 2022 >>> bufr['latitude'] = [45.61, 45.62, 45.63, 45.64, 45.65] >>> ... ``` Another way of creating new messages is by copying the template from an existing message: ```python >>> old = BUFRMessage(open('old.bufr', 'rb')) >>> new = BUFRMessage('BUFR3_local_satellite') >>> old.copy_to(new, header_only=True) >>> old['year'] = 2022 >>> ... ``` ### Writing to file To write `BUFRMessage` to a file, use the `write_to()` method. ```python >>> bufr.write_to(open('output.bufr', 'wb')) 581 ``` Use `get_buffer()` to get the contents of the encoded message: ```python >>> bufr.get_buffer() b'BUFR\x00...\xc07777' ``` ### Copying We can create a copy of the entire message with all its subsets by calling the `copy()` method: ```python >>> new = bufr.copy() >>> bufr['md5Data'] '8769d91b03a00ee26f1fa1f56bb6284c' >>> new['md5Data'] '8769d91b03a00ee26f1fa1f56bb6284c' ``` Specific subsets can be extracted by either passing a sequence of (0-based) subset indices or a slice/range to the `copy()` method: ```python >>> new1 = bufr.copy(subsets=np.array([0, 2, 4])) >>> new2 = bufr.copy(subsets=[8, 16, 32]) >>> new3 = bufr.copy(subsets=range(0, 32, 4)) >>> new4 = bufr.copy(subsets=slice(0, 64, 8)) ``` For convenience, a subsets slice can also be comprised of built-in `datetime` or numpy `datetime64` objects, in which case it's interpreted as a date-time range. Note that that the bounds of such slices are inclusive on both sides. ```python >>> new = bufr.copy(subsets=slice(datetime(2000, 2, 4, 8), datetime(2000, 2, 4, 16))) ``` ### Miscellaneous Use `get_datetime()` method to get `numpy.datetime64` array whose values are derived from datetime-related keys (e.g. 'year', 'month', etc.). ```python >>> bufr = BUFRMessage(open('sample-data/hdob.bufr', 'rb')) >>> bufr.get_datetime() masked_array(data=[['2022-05-29T16:00:30', '2022-05-29T16:01:00', '2022-05-29T16:01:30', '2022-05-29T16:02:00', ... '2022-05-29T16:08:30', '2022-05-29T16:09:00', '2022-05-29T16:09:30', '2022-05-29T16:10:00']], mask=False, fill_value=numpy.datetime64('NaT'), dtype='datetime64[s]') ``` ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/view.py0000664000175000017500000000777515172126764024354 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F405 # ruff: noqa: F403 from .common import * from .helpers import get_datetime, set_datetime class View: """A base class with some common methods: getters, setters, etc.""" def __contains__(self, key: str) -> bool: raise NotImplementedError def __eq__(self, other: object) -> bool: raise NotImplementedError def __getitem__(self, subscript): raise NotImplementedError def __ne__(self, other: object) -> bool: return not self.__eq__(other) def __setitem__(self, key: str, value) -> None: raise NotImplementedError def get_count(self, key: str) -> int: raise NotImplementedError def as_dict(self, ranked=False, depth=0, **kwds) -> Dict: raise NotImplementedError def get(self, key: str, default: Optional[ValueLike] = None) -> Optional[ValueLike]: """Returns value of `key`. If `key` is not defined, returns `default`. Note this method doesn't raise exception. """ try: value = self[key] except NotFoundError: value = default return value def get_datetime( self, rank: Optional[Union[int, slice]] = None, prefix: str = "", year: Optional[int] = None, month: Optional[int] = None, ) -> NDArray: """ Returns an array of type `datetime64` derived from datetime-related keys/values. The keys used are: 'year', 'month', 'day', 'hour', 'minute' and 'second'. If 'second' is not present then the key 'secondsWithinAMinuteMicrosecond' is tried instead. The presence of keys 'second' and 'seconds...Microsecond' is optional. If `prefix` is specified, the datetime is derived from keys '{prefix}Year', '{prefix}Month', etc. Optionally, the year and the month can be overwritten/forced to a specific value. This can be useful, for instance, if there is no dedicated year or month key. For example, ECMWF's section 2 defines 'rdbtimeDay', 'rdbtimeHour', etc., but not 'rdbtimeYear' or 'rdbtimeMonth'. """ return get_datetime(self, rank, prefix, year, month) def items(self, ranked=False, **kwds) -> Iterator[Tuple[str, ValueLike]]: raise NotImplementedError def keys(self, ranked=False, **kwds) -> Iterator[str]: raise NotImplementedError def set(self, key: str, value: ValueLike) -> None: raise NotImplementedError def set_datetime( self, value: Union[DateLike, np.ndarray], rank: Optional[int] = None, prefix: str = "", ) -> None: """ Sets datetime-related keys (i.e., 'year', 'month', etc.). If `prefix` is specified, use the keys '{prefix}Year', '{prefix}Month', etc. """ set_datetime(self, value, rank, prefix) def update(self, *args, **kwargs) -> None: if len(args) == 1: arg = args[0] if isinstance(arg, View): for key, value in arg.items(skip="read_only"): self[key] = value if isinstance(arg, abc.Mapping): for key, value in arg.items(): self[key] = value elif isinstance(arg, abc.Iterable): for key, value in arg: self[key] = value else: raise TypeError( "Expected a mapping or an iterable of key-value pairs; got %s" % type(arg) ) elif len(args) > 1: raise ValueError("Expected 1 positional argument; got %d" % len(args)) else: self.update(kwargs) ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/common.py0000664000175000017500000002200115172126764024645 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import datetime as dt import enum from collections import Counter, abc, defaultdict # noqa from contextlib import contextmanager from copy import deepcopy from dataclasses import dataclass, field, fields # noqa from enum import auto from typing import ( # noqa Any, BinaryIO, Callable, Dict, Iterator, List, Optional, Sequence, Set, Tuple, Union, cast, ) import numpy import numpy as np from numpy.ma import MaskedArray # noqa from numpy.typing import DTypeLike, NDArray # noqa from eccodes.eccodes import KeyValueNotFoundError as NotFoundError from eccodes.eccodes import * # noqa from .tables import Element @dataclass class Behaviour: assumed_scalar_elements: Set = field(default_factory=set) # [1] on_assumed_scalar_element_invalid_size: str = "warn" # [2] autorelease_handle: bool = True # [3] update_header_from_data_before_packing: bool = True # [4] # [1] By default, values of data elements in uncompressed, multi-subset messages # are one-/two-dimensional arrays, even if there is only one common value for # all subsets. This is done in order to provide "stable" view of data elements # which doesn't depend on the encoding details. However, for situations where # the user can guarantee that an element, or a set of elements, will always # have only a single value (per rank), this option can be used to reduce # memory usage. # # [2] If an assumed scalar element is encoded with more than one value (per rank), # either print a warning ('warn'), raise an exception ('raise'), or just carry # on as if nothing hapened ('ignore'). # # [3] Whether to release Coder's C handle automatically. The only reason you might # want to set this option to False is if you need to interoperate with the # low-level API, but you must know what you're doing. # # [4] This option controls whether to call Message's update_header_from_data() # method automatically before packing. This method sets some of the header # keys such as 'typicalYear', 'localMonth', 'localLatitude', etc. DEFAULT_BEHAVIOUR = Behaviour( assumed_scalar_elements=set( [ # 'originatorOfRetrievedAtmosphericConstituent', # 'satelliteChannelBandWidth', # 'satelliteChannelCentreFrequency', # 'satelliteIdentifier', # 'satelliteInstruments', ] ) ) current_behaviour = deepcopy(DEFAULT_BEHAVIOUR) def get_behaviour(): global current_behaviour # noqa return deepcopy(current_behaviour) def set_behaviour(new_behaviour): global current_behaviour # noqa for f in fields(new_behaviour): setattr(current_behaviour, f.name, getattr(new_behaviour, f.name)) @contextmanager def change_behaviour(): global current_behaviour # noqa saved_behaviour = get_behaviour() try: yield current_behaviour finally: set_behaviour(saved_behaviour) MultiIndex = Tuple[int, ...] DateLike = Union[dt.date, dt.datetime, np.datetime64, str] TimeLike = Union[DateLike, dt.timedelta, np.timedelta64] ValueLike = Union[bool, int, float, str, List, NDArray] class Flags(enum.Flag): CODED = auto() COMPUTED = auto() FACTOR = auto() READ_ONLY = auto() BITMAP = auto() SCALAR = auto() CODED = Flags.CODED COMPUTED = Flags.COMPUTED FACTOR = Flags.FACTOR READ_ONLY = Flags.READ_ONLY BITMAP = Flags.BITMAP SCALAR = Flags.SCALAR FLAGS = dict( coded=CODED, computed=COMPUTED, factor=FACTOR, read_only=READ_ONLY, bitmap=BITMAP ) FlagsLike = Optional[Union[Flags, str, Sequence[str]]] def ensure_flags(value: FlagsLike) -> Flags: if value is None: flags = Flags(0) elif isinstance(value, Flags): flags = value elif isinstance(name := value, str): try: flags = FLAGS[name] except KeyError: raise ValueError(f"'{name}' is not a valid flag name") elif isinstance(value, Sequence): names = list(value) flags = Flags(0) while names: name = names.pop() try: flags |= FLAGS[name] except KeyError: raise ValueError(f"'{name}' is not a valid flag name") else: raise TypeError("Invalid type: %s", type(value)) return flags @dataclass class Key: name: str rank: Optional[int] = None primary: str = "" secondary: str = "" attribute: str = "" string: str = "" element: Optional[Element] = None flags: Flags = CODED @staticmethod def from_string(string: str): name, rank, primary, secondary, attribute = "", None, "", "", "" if string.startswith("/"): raise NotFoundError( f"{string}: Search keys with the '//' syntax are not supported yet" ) elif string.startswith("#"): second_hash = string.find("#", 2) if second_hash == -1: raise NotFoundError(f"'{string}': Missing second '#' character") rank = int(string[1:second_hash]) if rank <= 0: raise NotFoundError(f"'{string}': Rank must be a positive number") else: second_hash = -1 last_arrow = string.rfind("->", -11, -4) if last_arrow != -1: if string[last_arrow + 2 :] in ( "code", "units", "reference", "scale", "width", ): attribute = string[last_arrow + 2 :] else: last_arrow = -1 else: last_arrow = len(string) first_arrow = string.find("->", second_hash + 1, last_arrow) if first_arrow != -1: secondary = string[first_arrow + 2 : last_arrow] else: first_arrow = last_arrow primary = string[second_hash + 1 : first_arrow] name = string[second_hash + 1 : last_arrow] key = Key(name, rank, primary, secondary, attribute, string) return key def __post_init__(self): if not self.string: if self.rank: self.string = f"#{self.rank}#" self.string += self.name if self.attribute: self.string += f"->{self.attribute}" if not self.primary: self.primary = self.name @dataclass class Association: element: Element element_rank: int element_dtype: DTypeLike bitmap: NDArray bitmap_offset: int indices: Dict[str, NDArray] slices: Dict[str, slice] = field(init=False, default_factory=dict) # [1] entries: Dict[str, "DataEntry"] = field(init=False, default_factory=dict) # [2] # [1] Slices of elements sequence numbers which are within the scope of the bitmap. # # [2] A dict of secondary/associated entries keyed by the primary group name,. # Only applies to those primary entries where at least one of the ranks is # is set in the bitmap. def __post_init__(self) -> None: # Consider only those elements that are within the scope # of the bitmap. for key, indices in self.indices.items(): bitmap_stop = self.bitmap.size + self.bitmap_offset start = numpy.searchsorted(indices >= self.bitmap_offset, True) stop = indices.size - numpy.searchsorted(indices[::-1] < bitmap_stop, True) self.slices[key] = slice(start, stop) def rank_mask(self, key: str): """Returns a mask indicating which ranks of the given primary key have an actual associated value. """ slice = self.slices[key] indices = self.indices[key] # all mask = numpy.repeat( False, len(indices) ) # the default for ranks outside bitmap's scope indices = indices[slice] # only within bitmap's scope indices = indices - self.bitmap_offset # relative to bitmap mask[slice] = self.bitmap[indices] return mask def any_rank_set(self, key: str) -> bool: """Returns `True` if any rank of the given primary key has an actual associated value. """ try: mask = self.rank_mask(key) except KeyError: # key was defined *after* the bitmap association return False return bool(numpy.any(mask)) @dataclass class DataEntry: name: str shape: Tuple = () uniform_element: Optional[Element] = None elements: List[Element] = field(default_factory=list) array: Optional[NDArray] = None association: Optional[Association] = None primary: Optional["DataEntry"] = None flags: Flags = CODED @property def size(self) -> int: assert len(self.shape) == 2 return self.shape[0] * self.shape[1] ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/tables.py0000664000175000017500000001733115172126764024641 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import csv import ctypes import os import re import sys from collections import ChainMap, UserDict from dataclasses import dataclass from pathlib import Path from typing import Iterator, List, Tuple, Union import eccodes import gribapi class Code(int): def __new__(cls, code: int): return int.__new__(cls, code) def __repr__(self) -> str: return "'%s'" % str(int(self)).zfill(6) @property def F(self) -> int: return int(self) // 100000 @property def X(self) -> int: return int(self) // 1000 % 100 @property def Y(self) -> int: return int(self) % 1000 @property def FX(self) -> Tuple[int, int]: return self.F, self.X CodeLike = Union[Code, int] @dataclass class Descriptor: code: Code = 0 name: str = "" @dataclass class Element(Descriptor): units: str = "" scale: int = 0 reference: int = 0 width: int = 0 @dataclass(unsafe_hash=True) class Version: master: int = 0 local: int = 0 centre: int = 0 subcentre: int = 0 class _Singleton(type(UserDict)): cache = {} def __call__(cls, *args): try: obj = cls.cache[cls, args] except KeyError: obj = super().__call__(*args) cls.cache[cls, args] = obj return obj class Table(UserDict, metaclass=_Singleton): def __init__(self, version: Version, local: bool) -> None: base_path = Path("bufr", "tables", "0") if local: dashed_version_number = "%d-%d" % (version.master, version.local) path = base_path.joinpath( "local", dashed_version_number, str(version.centre), str(version.subcentre), ) if not gribapi.grib_full_defs_path(str(path / "element.table")): path = base_path.joinpath( "local", str(version.local), str(version.centre), str(version.subcentre), ) else: path = base_path.joinpath("wmo", str(version.master)) self.version = version self.path = path self.data = {} class ElementTable(Table): def __init__(self, version: Version, local: bool) -> None: super().__init__(version, local) self.path /= "element.table" try: text = codes_read_file(self.path) except RuntimeError as e: if local: return # ignore non-existing local tables else: raise e reader = csv.reader(text.splitlines(), delimiter="|") next(reader) # skip header row for r in reader: c = Code(int(r[0])) e = Element(c, r[1], r[4], int(r[5]), int(r[6]), int(r[7])) self.data[c] = e def __getitem__(self, code: CodeLike) -> Element: try: return self.data[code] except KeyError: message = "No such element in tables version %s (%s): %s" raise KeyError(message % (self.version, self.path, code)) class SequenceTable(Table): def __init__(self, version: Version, local: bool) -> None: super().__init__(version, local) self.path /= "sequence.def" try: text = codes_read_file(self.path) except RuntimeError as e: if local: return # ignore non-existing local tables else: raise e tokens = re.split("]\n?", text) tokens = tokens[:-1] # strip the last, empty token for token in tokens: pair = token.split("= [") code = int(pair[0].strip().strip('"')) sequence = [Code(c) for c in pair[1].split(",")] self.data[code] = sequence def __getitem__(self, code: CodeLike) -> List[Code]: try: return self.data[code] except KeyError: message = "No such element in tables version %s (%s): %s" raise KeyError(message % (self.version, self.path, code)) class CombinedTable(Table): def __init__(self, table_class, version): self.master = table_class(version, False) self.local = table_class(version, True) self.version = version self.data = ChainMap(self.local.data, self.master.data) # [1] # [1] Note that the individual mappings in the ChainMap are searched from first to last. class Tables: def __init__(self, version): self.sequences = CombinedTable(SequenceTable, version) self.elements = CombinedTable(ElementTable, version) self.version = version def expand_codes( self, code_s: Union[CodeLike, List[CodeLike]], recursive=True ) -> Iterator[Code]: if isinstance(code_s, int): codes = [code_s] else: codes = code_s for c in map(Code, codes): if c.F == 3: sequence_codes = self.sequences[c] if recursive: yield from self.expand_codes(sequence_codes) else: yield from sequence_codes else: yield c def expand_descriptors( self, codes_s: Union[CodeLike, List[CodeLike]], recursive=True ) -> Iterator[Descriptor]: previous_code = Code(0) for code in self.expand_codes(codes_s, recursive): name = None if code.F == 0: try: name = self.elements[code].name except KeyError as error: if previous_code.FX == (2, 6): # Operator: Signify data width # TODO: raise warning name = "" else: raise error previous_code = code yield Descriptor(code, name) libcname = "msvcrt" if sys.platform.startswith("win") else None libc = ctypes.CDLL( libcname, winmode=0 ) # automatically finds and loads the C standard library fseek = libc.fseek fseek.argtypes = [ctypes.c_void_p, ctypes.c_long, ctypes.c_int] fseek.restype = ctypes.c_int SEEK_SET, SEEK_END = 0, 2 ftell = libc.ftell ftell.argtypes = [ctypes.c_void_p] ftell.restype = ctypes.c_long fread = libc.fread fread.argtypes = [ctypes.c_void_p, ctypes.c_size_t, ctypes.c_size_t, ctypes.c_void_p] fread.restype = ctypes.c_size_t fclose = libc.fclose fclose.argtypes = [ctypes.c_void_p] fclose.restype = ctypes.c_int libeccodes = ctypes.CDLL(eccodes.codes_get_library_path()) codes_fopen = libeccodes.codes_fopen codes_fopen.restype = ctypes.c_void_p def codes_has_file(path: Union[str, os.PathLike]) -> bool: stream = libeccodes.codes_fopen(str(path).encode(), b"r") if stream: libc.fclose(stream) has = True else: has = False return has def codes_read_file(path: Union[str, os.PathLike]) -> str: full_path = gribapi.grib_full_defs_path(str(path)) stream = libeccodes.codes_fopen(full_path.encode(), b"r") if not stream: raise RuntimeError(f"Tables path does not exist: {path}") try: fseek(stream, 0, SEEK_END) buffer_size = ftell(stream) buffer = ctypes.create_string_buffer(buffer_size) fseek(stream, 0, SEEK_SET) read_size = fread(buffer, ctypes.sizeof(ctypes.c_char), buffer_size, stream) string = buffer.raw[:read_size].decode() finally: fclose(stream) return string ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/data.py0000664000175000017500000005605715172126764024310 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. from functools import cached_property from .coder import Coder from .common import * from .helpers import ensure_masked_array, flatten, missing_of from .tree import ( AssociationNode, LeafNode, Node, ReplicationNode, WrapperNode, build_tree, ) from .view import View # flake8: noqa: F405 # ruff: noqa: F403 class Data(View): _coder: Coder _subset_count: int = 0 _compressed: bool = False _entries: Dict[str, DataEntry] _associations: Dict[Tuple[str, int], Association] def __init__(self, coder: Coder) -> None: self._coder = coder self._entries = {} def __contains__(self, key: str) -> bool: return self._top_view.__contains__(key) def __eq__(self, other: object) -> bool: if isinstance(other, Data): eq = self._top_view.__eq__(other._top_view) else: eq = False return eq def __getitem__(self, subscript: Union[int, str]) -> Union["DataBlock", ValueLike]: return self._top_view.__getitem__(subscript) def __iter__(self) -> Iterator["DataBlock"]: yield from self._top_view.__iter__() def __len__(self) -> int: return self._top_view.__len__() def __setitem__(self, key: str, value: ValueLike) -> None: return self._top_view.__setitem__(key, value) def __str__(self) -> str: return self._top_view.__str__() def as_dict(self, ranked=False, depth=0, **kwds) -> Dict: """Returns dict-like representation of the data section items.""" return self._top_view.as_dict(ranked, depth, **kwds) def copy_to(self, other: "Data") -> None: """Copies common keys/values in this data section to `other`.""" self._coder.unpack() self._commit() codes_bufr_copy_data(self._coder._handle, other._coder._handle) # Workaround for ECC-2022 self._top_view # [1] for a in self._associations.values(): if a.element_rank > 1: for g in a.entries.values(): other[g.name][:] = self[g.name][:] # [1] This ensures that we have built all bitmap associations. def get_count(self, key: str) -> int: """Returns the number of ranked items designated by the given key.""" return self._top_view.get_count(key) def get_shape(self, key: str) -> Tuple[int, ...]: return self._top_view.get_shape(key) def get_size(self, key: str) -> int: return self._top_view.get_size(key) def is_missing(self, key: str) -> bool: return self._top_view.is_missing(key) def items(self, ranked=False, **kwds) -> Iterator[Tuple[str, ValueLike]]: yield from self._top_view.items(ranked, **kwds) def keys(self, ranked=False, **kwds) -> Iterator[str]: yield from self._top_view.keys(ranked, **kwds) def set(self, key: str, value: ValueLike) -> None: self._top_view.set(key, value) def set_missing(self, key: str) -> None: self._top_view.set_missing(key) def _commit(self) -> None: for entry in self._entries.values(): if entry.array is None or entry.flags & (READ_ONLY | COMPUTED): continue else: self._coder.commit(entry) entry.array = None @cached_property def _top_view(self): self._subset_count = cast(int, self._coder.get("numberOfSubsets")) self._compressed = cast(bool, self._coder.get("compressedData")) root, self._entries, self._associations = build_tree(self._coder) # [1] top_level = () top_view = DataBlock(self, root, top_level) for entry in self._entries.values(): try: slice = top_view._slices[entry.name] except KeyError: continue if entry.association: entry.shape = entry.primary.shape elif entry.flags & SCALAR: entry.shape = (slice.stop, 1) if entry.flags & FACTOR: assert entry.array is not None # [2] elif entry.flags & BITMAP: entry.shape = (slice.stop, None) # [3] else: if self._compressed: entry.shape = (slice.stop, self._subset_count) else: entry.shape = (slice.stop,) self._coder._baked_template = True self._coder._subset_count = self._subset_count self._coder._compressed = self._compressed return top_view # [1] Note that it's the call to build_tree() which triggers unpacking! # Because _top_view() is a cached property (and thus initialized lazily) # the unpacking will be defered until when actually needed. # # [2] Note that arrays of delayed replication factors are constructed in build_tree(). # # [3] At the moment the size of bitmap arrays is determined in Coder.checkout(). # Is there a way to infer it earlier? TODO class DataBlock(View): def __init__(self, data: Data, node, index: MultiIndex) -> None: self._data: Data = data self._node = node self._index: MultiIndex = index self._slices: Dict[str, slice] = resolve_slices(node, index) self._sub_blocks: Dict[int, "DataBlock"] = {} def __contains__(self, subscript: str) -> bool: key = Key.from_string(subscript) try: entry = self._get_entry(key) except NotFoundError: contains = False else: if key.rank: slice = self._slices[entry.name] contains = key.rank <= slice.stop else: contains = True return contains def __eq__(self, other: object) -> bool: if isinstance(other, DataBlock): eq = False for (k1, v1), (k2, v2) in zip(self.items(), other.items()): if k1 != k2: break if isinstance(v1, np.ndarray): if not isinstance(v2, np.ndarray): break if v1.dtype.type == np.str_: if not v2.dtype.type == np.str_: break if not np.char.compare_chararrays(v1, v2, "==", rstrip=True): break else: if not np.all(v1.data == v2.data): break else: if v1 != v2: break else: eq = True else: eq = False return eq def __len__(self) -> int: node = self._node if isinstance(node, AssociationNode): # Has no children. Should we add an empty list? TODO return 0 elif node.children and isinstance(node.children[0], ReplicationNode): assert len(node.children) == 1 replication = node.children[0] return replication.factors[self._index] else: return len(node.children) def __iter__(self) -> Iterator["DataBlock"]: node = self._node if node.children and isinstance(node.children[0], ReplicationNode): assert len(node.children) == 1 replication = node.children[0] for factor in range(replication.factors[self._index]): index = self._index + (factor,) if len(replication.children) == 1 and isinstance( replication.children[0], LeafNode ): block = DataBlock(self._data, replication.children[0], index) else: block = DataBlock(self._data, replication, index) yield block else: for child in node.children: yield DataBlock(self._data, child, self._index) def __getitem__(self, subscript: Union[int, str]) -> Union["DataBlock", ValueLike]: if isinstance(subscript, str): key = Key.from_string(subscript) entry = self._get_entry(key) sub = self._get_subscript(entry, key) if key.attribute: if entry.uniform_element: value = getattr(entry.uniform_element, key.attribute) else: if not entry.elements: resolve_elements( self._data._entries, self._data._top_view._node ) assert entry.elements if isinstance(sub, slice): value = [getattr(e, key.attribute) for e in entry.elements[sub]] else: value = getattr(entry.elements[sub], key.attribute) else: array = self._get_array(entry) value = array[sub] return value elif type(ordinal := subscript) is int: node = self._node if node.children and isinstance(node.children[0], ReplicationNode): assert len(node.children) == 1 replication = node.children[0] factor = replication.factors[self._index] ordinal = factor + ordinal if ordinal < 0 else ordinal if ordinal < 0 or ordinal >= factor: raise IndexError(f"Subscript out of range: {subscript}") try: block = self._sub_blocks[ordinal] except KeyError: index = self._index + (ordinal,) if len(replication.children) == 1 and isinstance( replication.children[0], LeafNode ): block = DataBlock(self._data, replication.children[0], index) else: block = DataBlock(self._data, replication, index) self._sub_blocks[ordinal] = block else: ordinal = len(node.children) + ordinal if ordinal < 0 else ordinal if ordinal < 0 or ordinal >= len(node.children): raise IndexError(f"Subscript out of range: {subscript}") try: block = self._sub_blocks[ordinal] except KeyError: block = DataBlock(self._data, node.children[ordinal], self._index) self._sub_blocks[ordinal] = block return block else: raise TypeError( "subscript must be either 'int' or 'str'; got %s" % type(subscript) ) def __setitem__(self, key: str, value: ValueLike) -> None: key = Key.from_string(key) value = ensure_masked_array(value) entry = self._get_entry(key) if entry.flags & READ_ONLY or key.attribute: raise ReadOnlyError(f"{key.string}") array = self._get_array(entry) subscript = self._get_subscript(entry, key) if isinstance(subscript, slice): array[subscript] = value else: array[subscript : subscript + 1] = value def __str__(self) -> str: import pprint d = self.as_dict() return pprint.pformat(d, sort_dicts=False) def as_dict(self, ranked=False, depth=0, **kwds) -> Dict: """Returns dict-like representation of the DataBlock items.""" if self._node.depth < depth and len(self) > 0: d = {} for i, block in enumerate(self): # block = cast('DataBlock', self[i]) d[i] = block.as_dict(ranked, depth, **kwds) else: counts_only = kwds.pop("counts_only", False) shapes_only = kwds.pop("shapes_only", False) if counts_only: d = {k: self.get_count(k) for k in self.keys(ranked, **kwds)} elif shapes_only: d = {k: self.get_shape(k) for k in self.keys(ranked, **kwds)} else: d = dict(self.items(ranked, **kwds)) return d def get_count(self, key: str) -> int: """Returns the number of elements designated by the given key.""" key = Key.from_string(key) try: slice = self._slices[key.name] except KeyError: raise NotFoundError(key.string) else: rank_count = slice.stop - slice.start if key.rank: if key.rank <= rank_count: count = 1 else: raise NotFoundError(key.string) else: count = rank_count return count def get_shape(self, key: str) -> Tuple[int, ...]: key = Key.from_string(key) entry = self._get_entry(key) subscript = self._get_subscript(entry, key) if isinstance(subscript, slice): shape = (subscript.stop - subscript.start,) else: shape = () if key.attribute: if entry.uniform_element: shape = () elif self._data._compressed and not entry.flags & Flags.SCALAR: shape += (self._data._subset_count,) return shape def get_size(self, key: str) -> int: shape = self.get_shape(key) size = 1 for dim in shape: size *= dim return size def is_missing(self, key: str) -> bool: key = Key.from_string(key) if key.attribute: is_missing = False else: entry = self._get_entry(key) slice = self._get_slice(entry, key) if entry.array is None: is_missing = self._data._coder.is_missing(entry, slice) else: array = self._get_array(entry) array_view = array[slice] is_missing = np.all(array_view.mask) return is_missing def set(self, key: str, value: ValueLike) -> None: self.__setitem__(key, value) def set_missing(self, key: str) -> None: key = Key.from_string(key) if key.attribute: raise ValueCannotBeMissingError( f"Attribute '{key.string}' can't have missing value" ) else: entry = self._get_entry(key) slice = self._get_slice(entry, key) if entry.array is None: self._data._coder.set_missing(entry, slice) else: array = self._get_array(entry) array_view = array[slice] array_view.mask = True def items(self, ranked=False, **kwds) -> Iterator[Tuple[str, ValueLike]]: for key in self.keys(ranked, **kwds): yield key, cast(ValueLike, self[key]) def keys(self, ranked=False, **kwds) -> Iterator[str]: only_flags = ensure_flags(kwds.get("only", Flags.CODED)) skip_flags = ensure_flags(kwds.get("skip", Flags(0))) if ranked: ranks = Counter() for key in iterate_keys(self._node, self._index): ranks[key.name] += 1 rank = ranks[key.name] yield f"#{rank}#{key.name}" else: for name, slice in self._slices.items(): if slice.stop <= slice.start: continue # Ignore keys inside empty replications try: entry = self._data._entries[name] except KeyError: continue # Ignore unset associated keys if not entry.flags & only_flags: continue if entry.flags & skip_flags: continue yield name def _get_entry(self, key: Key) -> DataEntry: try: entry = self._data._entries[key.name] except KeyError: raise NotFoundError(key.string) return entry def _get_array(self, entry): if entry.array is None: array = self._data._coder.checkout(entry) if not self._data._coder._compressed: # TODO: correct shape in Coder array = array.ravel() if array.dtype.type == np.str_ and np.__version__ < "1.24": array = np.ma.masked_where(array == "", array, copy=False) # [1] array.fill_value = "" else: array = np.ma.masked_equal(array, missing_of(array.dtype), copy=False) entry.array = array if entry.flags & Flags.SCALAR: array = entry.array.ravel() else: array = entry.array return array # [1] This is a workaround for old versions of numpy where calling masked_equal() # on a string array fails with: # numpy.core._exceptions.UFuncTypeError: ufunc 'equal' did not contain a loop # with signature matching types (dtype(' dtype('bool') def _get_subscript(self, entry, key): slice = self._get_slice(entry, key) slice_len = slice.stop - slice.start if key.rank: assert slice_len == 1 subscript = slice.start elif slice_len == 1: max_level = self._node.max_levels[entry.name] if self._node.level == max_level: # [1] subscript = slice.start else: subscript = slice else: subscript = slice return subscript # [1] Make sure we don't flatten single-rank array views unless they are # accessed from the bottom-most DataBlock. This is important because # otherwise shapes of array views could change depending on the values # of replication factors. We want to provide 1d array views only in those # cases where it's guaranteed there is always going to be only one rank for # the given key in the current DataBlock, irrespective of replication # factors. def _get_slice(self, entry, key): slice_ = self._slices[entry.name] if key.rank: rank_count = slice_.stop - slice_.start if key.rank > rank_count: message = ( "Rank %d is out of bounds; max. rank of '%s' in this view is %d" ) raise NotFoundError(message % (key.rank, entry.name, rank_count)) start = slice_.start + key.rank - 1 slice_ = slice(start, start + 1) return slice_ def iterate_keys(node, index: MultiIndex) -> Iterator[Key]: """Recursively iterates over keys of `node` and all of its sub-nodes given the replication index. """ if isinstance(node, LeafNode): yield from node.keys elif isinstance(node, ReplicationNode): if len(index) == node.factors.ndim + 1: for child in node.children: yield from iterate_keys(child, index) else: for i in range(node.factors[index]): child_index = index + (i,) for child in node.children: yield from iterate_keys(child, child_index) elif isinstance(node, WrapperNode): for child in node.children: yield from iterate_keys(child, index) elif isinstance(node, AssociationNode): yield from node.keys else: assert False def resolve_slices(node, index: MultiIndex) -> Dict[str, slice]: """Given the replication index, resolves ranks for each entry in the node.""" try: slices = node.slices[index] except KeyError: slices = {} starts = resolve_starts(node, index) counts = resolve_counts(node, index) for name, count in counts.items(): start = starts[name] stop = start + count slices[name] = slice(start, stop) node.slices[index] = slices return slices def resolve_starts(node, index: MultiIndex) -> Counter: """Given the replication index, resolves rank starts for each entry in the node.""" try: starts = node.starts[index] except KeyError: if not node.parent: starts = Counter() elif not isinstance(node, ReplicationNode): if node.ordinal > 0: upper_sibling = node.parent.children[node.ordinal - 1] starts = resolve_starts(upper_sibling, index).copy() counts = resolve_counts(upper_sibling, index) starts += counts else: starts = resolve_starts(node.parent, index) else: if index[-1] == 0: starts = resolve_starts(node.parent, index[:-1]) else: lower_index = index[:-1] + (index[-1] - 1,) starts = resolve_starts(node, lower_index).copy() counts = resolve_counts(node, lower_index) starts += counts node.starts[index] = starts return starts def resolve_counts(node, index: MultiIndex) -> Counter: """Given the replication index, resolves rank counts for each entry in the node.""" try: counts = node.counts[index] except KeyError: if isinstance(node, (LeafNode, AssociationNode)): counts = Counter((k.name for k in node.keys)) node.counts[index] = counts else: counts = Counter() for child in node.children: counts += resolve_counts(child, index) if len(index) == node.level: node.counts[index] = counts if ( isinstance(node, LeafNode) and isinstance(node.parent, ReplicationNode) and len(index) < node.level ): total_factor = sum(flatten(node.parent.factors[index])) counts = counts.copy() for name in counts: counts[name] *= total_factor return counts def resolve_elements(entries, root: Node): """Traverses nodes of the data tree and gathers lists of expanded elements for each of the entries. """ def recurse(node, index): if isinstance(node, WrapperNode): for child in node.children: recurse(child, index) elif isinstance(node, ReplicationNode): assert node.level == len(index) for i in range(node.factors[index]): for child in node.children: recurse(child, index + (i,)) elif isinstance(node, (LeafNode, AssociationNode)): for key in node.keys: try: entry = entries[key.name] except KeyError: # [1] continue if not entry.uniform_element: entry.elements.append(key.element) else: assert False recurse(root, index=()) # [1] Currently we append associated keys for each and every primary key # of the LeafNode, but we add them to entries only if there is at least # one rank covered by the bitmap. Check if this is OK or whether it needs # to be optimized. TODO ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/header.py0000664000175000017500000002415115172126764024615 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F405 # ruff: noqa: F403 from .coder import INPUT_TEMPLATE_KEYS, TEMPLATE_KEYS, Coder from .common import * from .helpers import get_date, get_datetime, get_time, set_date, set_datetime, set_time from .view import View @dataclass class Entry: name: str = "" value: Optional[ValueLike] = None dirty: bool = False computed: bool = False derive: Optional[Callable] = None project: Optional[Callable] = None def derive_datetime(header, key): prefix = key.split("DateTime")[0] datetime = get_datetime(header, prefix=prefix) return datetime def derive_date(header, key): prefix = key.split("Date")[0] date = get_date(header, prefix=prefix) return date def derive_time(header, key): prefix = key.split("Time")[0] time = get_time(header, prefix=prefix) return time def derive_rdbtime_datetime(header, key): date = derive_rdbtime_date(header, "rdbtimeDate") time = derive_time(header, "rdbtimeTime") datetime = date + time return datetime def derive_rdbtime_date(header, key): assert key == "rdbtimeDate" string = header._coder.get(key, validate=False) y, m, d = string[0:4], string[4:6], string[6:8] date = np.datetime64(f"{y}-{m}-{d}", "D") return date def project_datetime(header, key, value): prefix = key.split("DateTime")[0] set_datetime(header, value, prefix=prefix) def project_date(header, key, value): prefix = key.split("Date")[0] set_date(header, value, prefix=prefix) def project_time(header, key, value): prefix = key.split("Time")[0] set_time(header, value, prefix=prefix) def project_edition_3_typical_year(header, key, value): assert key == "typicalYear" assert header["edition"] == 3 header["typicalCentury"] = value // 100 + 1 header["typicalYearOfCentury"] = value % 100 COMMON_COMPUTED_KEYS = set( [ "typicalDateTime", "typicalDate", "typicalTime", "localDateTime", "localDate", "localTime", "rdbtimeDateTime", "rdbtimeDate", "rdbtimeTime", "rectimeTime", "md5Data", ] ) _COMPUTED_ENTRIES = { None: [Entry(key, computed=True) for key in COMMON_COMPUTED_KEYS], 3: [Entry("typicalYear", computed=True, project=project_edition_3_typical_year)], 4: [ Entry("typicalCentury", computed=True), Entry("typicalYearOfCentury", computed=True), ], } COMPUTED_ENTRIES = {} for edition in _COMPUTED_ENTRIES.keys(): COMPUTED_ENTRIES[edition] = { entry.name: entry for entry in _COMPUTED_ENTRIES[edition] } for key, entry in COMPUTED_ENTRIES[None].items(): if key == "rdbtimeDateTime": entry.derive = derive_rdbtime_datetime elif key == "rdbtimeDate": entry.derive = derive_rdbtime_date elif key.endswith("DateTime"): entry.derive = derive_datetime entry.project = project_datetime elif key.endswith("Date"): entry.derive = derive_date entry.project = project_date elif key.endswith("Time"): entry.derive = derive_time entry.project = project_time class Header(View): """Provides access to BUFR header entries.""" _coder: Coder _cache: Dict[str, Entry] def __init__(self, coder: Coder) -> None: self._coder = coder edition = cast(int, coder.get("edition", validate=False)) self._cache = COMPUTED_ENTRIES[None].copy() self._cache.update(COMPUTED_ENTRIES[edition]) def __contains__(self, key: str) -> bool: return (key in self._cache) or self._coder.is_defined(key, header_only=True) def __eq__(self, other: object) -> bool: if isinstance(other, Header): eq = False items1 = self.items(skip="read_only") items2 = other.items(skip="read_only") for (k1, v1), (k2, v2) in zip(items1, items2): if k1 != k2: break if isinstance(v1, np.ndarray): if not isinstance(v2, np.ndarray): break if not np.all(v1.data == v2.data): break else: if v1 != v2: break else: eq = True else: eq = False return eq def __getitem__(self, key: str) -> ValueLike: try: entry = self._cache[key] except KeyError: value = self._coder.get(key, header_only=True) self._cache[key] = Entry(key, value) else: if entry.computed: assert entry.value is None if entry.derive: value = entry.derive(self, key) else: value = self._coder.get(key, validate=False) else: assert entry.value is not None value = entry.value return value def __setitem__(self, key: str, value: ValueLike) -> None: if key == "edition": current_edition = cast(int, self._coder.get("edition", validate=False)) if value != current_edition: for k in COMPUTED_ENTRIES[current_edition].keys(): self._cache.pop(k, None) assert isinstance(value, int) self._cache.update(COMPUTED_ENTRIES[value]) try: entry = self._cache[key] except KeyError: self._coder.set(key, value, header_only=True) self._cache[key] = Entry(key, value, dirty=True) else: if entry.computed: if entry.project: entry.project(self, key, value) else: self._coder.set(key, value, header_only=True) else: self._coder.set(key, value, header_only=True) entry.value = value entry.dirty = True def __str__(self) -> str: import pprint d = self.as_dict() return pprint.pformat(d, sort_dicts=False) def copy_to(self, other: "Header", skip_template_keys=False) -> None: """Copies common items from this header to `other`.""" for key, value in self.items(skip="read_only"): if key == "unexpandedDescriptors": break try: other[key] = value except NotFoundError: continue if not skip_template_keys: if other._coder._baked_template: raise EncodingError("Cannot change baked template") self._coder.unpack() for skey, okey in zip(TEMPLATE_KEYS, INPUT_TEMPLATE_KEYS): if okey not in other._cache: try: value = self._coder.get(skey, validate=False) except NotFoundError: continue else: other._coder.set(okey, value) def get_count(self, key: str) -> int: """Returns the number of elements designated by the given key.""" self.__getitem__(key) return 1 def get_shape(self, key: str) -> Tuple[int, ...]: value = self.__getitem__(key) if isinstance(value, np.ndarray): shape = value.shape else: shape = () return shape def get_size(self, key: str) -> int: value = self.__getitem__(key) if isinstance(value, np.ndarray): size = value.size else: size = 1 return size def is_missing(self, key: str) -> bool: self.__getitem__(key) return False def items(self, ranked=False, **kwds) -> Iterator[Tuple[str, ValueLike]]: for key in self.keys(**kwds): yield key, self._coder.get(key, validate=False) def keys(self, ranked=False, **kwds) -> Iterator[str]: yield from self._coder.keys(header_only=True, **kwds) def set(self, key: str, value: ValueLike) -> None: self.__setitem__(key, value) def set_missing(self, key: str): self.__getitem__(key) raise ValueCannotBeMissingError(f"Header key '{key}' can't have missing value'") def as_dict(self, ranked=False, depth=0, **kwds) -> Dict: """Returns dict-like representation of the header items.""" counts_only = kwds.pop("counts_only", False) shapes_only = kwds.pop("shapes_only", False) if counts_only: d = {k: self.get_count(k) for k in self.keys(ranked, **kwds)} elif shapes_only: d = {k: self.get_shape(k) for k in self.keys(ranked, **kwds)} else: d = dict(self.items(ranked, **kwds)) return d def _commit(self) -> None: return # [1] if self._cache: for key in [ "edition", "bufrHeaderCentre", "masterTableNumber", ]: # must be set first try: value = self._cache.pop(key) except KeyError: continue self._coder.set(key, value, validate=False) # [2] for key, value in self._cache.items(): self._coder.set( key, value, validate=False, ignore_read_only_error=True ) # [2] # [1] Currently, when setting header keys, we pass the values right through # into the coder, so there is no need to flush the cache before packing. # But we will probably need this in the future when adding support for # dynamically resizeable replication blocks, which will require full # virtualisation of BUFR messages. TODO # # [2] Just a reminder that we don't need to use header_only=True here # because the keys in the cache are header-only by definition. ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/coder.py0000664000175000017500000007543115172126764024470 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import io import warnings from functools import cached_property from .common import * from .helpers import ensure_array, missing_of from .tables import Tables, Version # flake8: noqa: F405 # ruff: noqa: F403 TEMPLATE_KEYS = dict.fromkeys( [ "numberOfSubsets", "compressedData", "dataPresentIndicator", "delayedDescriptorAndDataRepetitionFactor", "delayedDescriptorReplicationFactor", "extendedDelayedDescriptorAndDataRepetitionFactor", "extendedDelayedDescriptorReplicationFactor", "shortDelayedDescriptorReplicationFactor", "unexpandedDescriptors", ] ) INPUT_TEMPLATE_KEYS = dict.fromkeys( [ # [1] "numberOfSubsets", "compressedData", "inputDataPresentIndicator", "inputDelayedDescriptorAndDataRepetitionFactor", "inputDelayedDescriptorReplicationFactor", "inputExtendedDelayedDescriptorAndDataRepetitionFactor", "inputExtendedDelayedDescriptorReplicationFactor", "inputShortDelayedDescriptorReplicationFactor", "unexpandedDescriptors", ] ) # [1] When creating a new message, template keys must be set in a specific # order. That's why we use a `dict` and not a `set`; `sets` don't # preserve insertion order. ARRAY_KEYS = TEMPLATE_KEYS.copy() ARRAY_KEYS.update(INPUT_TEMPLATE_KEYS) ARRAY_KEYS.pop("numberOfSubsets") ARRAY_KEYS.pop("compressedData") class Coder: _handle: int = 0 _unpacked: bool = False _subset_count: int = 0 _baked_template: bool = False _compressed: bool = False _autorelease: bool = True _clone_handle: int = 0 # [1] _clone_retry_count: int = 0 _last_extract_method: str = "" # [2] # [1] We need an extra handle so that we can work around issues with repeated # subset extractions (see ECC-2015 and ECC-2016). # # [2] We are keeping track of the latest extraction method because ecCodes # currently doesn't handle cases with mixed extractions correctly; that # is not without creating a new clone of the original handle (see ECC-2016). def __init__(self, source) -> None: if isinstance(source, io.IOBase): try: fileno = source.fileno() except OSError: fileno = None if fileno is None: raise TypeError( "Expected file-like object with a file descriptor; got %s" % type(source) ) handle = codes_bufr_new_from_file(source) if not handle: raise EOFError() elif isinstance(source, bytes): handle = codes_new_from_message(source) elif isinstance(source, str): handle = codes_bufr_new_from_samples(source) elif isinstance(source, int): handle = source else: raise TypeError( "Expected file-like object, bytes array or a sample name; got %s" % type(source) ) self._handle = handle self._autorelease = current_behaviour.autorelease_handle def __del__(self) -> None: if self._autorelease: self.release() def clone(self, subsets=None) -> "Coder": self.pack() if subsets is None: handle = codes_clone(self._handle) coder = Coder(handle) else: if not self._clone_handle: # [1] self._clone_handle = codes_clone(self._handle) codes_set_long(self._clone_handle, "unpack", 1) try: # [2] self._extract(subsets) handle = codes_clone(self._clone_handle) except (InternalError, ArrayTooSmallError) as error: # [3] if self._clone_retry_count > 1: raise error else: codes_release(self._clone_handle) self._clone_handle = 0 self._clone_retry_count += 1 self._last_extract_method = "" coder = self.clone(subsets) else: self._clone_retry_count = 0 coder = Coder(handle) return coder # [1] We need an extra handle so that we can work around issues with repeated # subset extractions (see ECC-2015). # # [2] This is also related to ECC-2015. If the extraction of subsets fails, # we try one more time with a new clone of the original handle. If that # fails too, we raise an exception. # # [3] The ArrayTooSmallError is needed because of ECC-2025. def _extract(self, subsets): if isinstance(array := subsets, np.ndarray): if array.dtype == bool: subsets = np.arange(array.size)[array] elif array.dtype != int: message = "`subsets` must be an array of bool or int; got type %s" raise TypeError(message % array.dtype) start, stop = subsets[0], subsets[-1] + 1 is_interval = subsets.size == stop - start is_interval = is_interval and np.all(subsets == np.arange(start, stop)) elif isinstance(subsets, range): is_interval = subsets.step == 1 elif isinstance(subsets, Sequence): subsets = list(subsets) is_interval = True for s, r in zip(subsets, range(subsets[0], subsets[0] + len(subsets))): if s != r: is_interval = False break elif isinstance(subsets, slice): start = 0 if subsets.start is None else subsets.start stop = self._subset_count if subsets.stop is None else subsets.stop # [1] step = 1 if subsets.step is None else subsets.step subsets = range(start, stop, step) is_interval = subsets.step == 1 else: message = "`subsets` must be an array, sequence, or a slice; got %s" raise TypeError(message % type(subsets)) if is_interval: method = "SubsetInterval" start = subsets[0] + 1 end = subsets[-1] + 1 codes_set_long(self._clone_handle, "extractSubsetIntervalStart", start) codes_set_long(self._clone_handle, "extractSubsetIntervalEnd", end) else: method = "SubsetList" codes_set_long_array( self._clone_handle, "extractSubsetList", [s + 1 for s in subsets] ) codes_set_long(self._clone_handle, "doExtractSubsets", 1) if (last := self._last_extract_method) and method != last: codes_release(self._clone_handle) self._clone_handle = codes_clone(self._handle) codes_set_long(self._clone_handle, "unpack", 1) self._last_extract_method = "" self._extract(subsets) self._last_extract_method = method # [1] Note that there is a bug in ecCodes where the extraction operation # resets the original value of 'numberOfSubsets' to the number of # extracted subsets. That's why it's important to use the subset count # from the original handle, not the clone! def get_buffer(self) -> bytes: self.pack() bytes = codes_get_message(self._handle) return bytes def get_bitmap(self) -> NDArray: """Returns bitmap array as a boolean mask. Note that this is a concatenation of all bitmaps into a single, large array. """ self.unpack() try: bitmap = codes_get_long_array(self._handle, "dataPresentIndicator") except NotFoundError: bitmap = np.array([]) bitmap[:] = 1 - bitmap[:] # [1] bitmap = np.ma.make_mask(bitmap, copy=False, shrink=False, dtype=bitmap.dtype) return bitmap # [1] We are flipping zeros and ones to follow the standard convention # of 1 meaning True, and 0 False, not the other way arround. def get_delayed_replication_factors(self) -> Dict[int, NDArray]: """Returns a `dict` of concatenated delayed replication factors.""" self.unpack() factors = {} for code, name in [ (31000, "shortDelayedDescriptorReplicationFactor"), (31001, "delayedDescriptorReplicationFactor"), (31002, "extendedDelayedDescriptorReplicationFactor"), (31011, "delayedDescriptorAndDataRepetitionFactor"), (31012, "extendedDelayedDescriptorAndDataRepetitionFactor"), ]: try: array = codes_get_long_array(self._handle, name) except NotFoundError: continue factors[code] = array return factors def checkout(self, entry: DataEntry): if entry.flags & FACTOR: # In principle we shouldn't need this branch as we pre-load all delayed # replication factor arrays in build_tree(). However, some messages # can have wrongly encoded bitmap where the factor ends up having an # associated key (e.g., delayedReplicationFactor->percentConfidence). # TODO: Should we hide these keys from the user? array = codes_get_array(self._handle, entry.name) array = np.reshape(array, entry.shape) elif entry.flags & BITMAP: array = codes_get_array(self._handle, entry.name) entry.shape = ( entry.shape[0], array.size, ) # infer the 2nd dimension earlier TODO elif entry.association: if entry.name.find("->associatedField") > 0: # Note that his works reliably only for ->associatedField keys. # For bitmap-associated keys, if some of the ranks don't have an associated # value, this will either fail (ECC-1272), or worse, return an incomplete # array (ECC-1689). array = codes_get_array(self._handle, entry.name) # array = self._ensure_correct_size(entry, array) else: assert entry.primary rank_mask = entry.association.rank_mask(entry.primary.name) if np.count_nonzero(rank_mask) == 0: raise NotFoundError(entry.name) assert len(rank_mask) == entry.primary.shape[0] dtype = entry.association.element_dtype array = np.empty(entry.shape, dtype) fill_value = missing_of(dtype) for rank, is_set in enumerate(rank_mask, start=1): if is_set: # Note: bitmap-associated keys have to be retrieved one # rank at a time (see ECC-1272). if not self._compressed or entry.flags & SCALAR: array[rank - 1] = codes_get( self._handle, f"#{rank}#{entry.name}" ) else: array[rank - 1, :] = codes_get_array( self._handle, f"#{rank}#{entry.name}" ) else: array[rank - 1] = fill_value elif entry.uniform_element and entry.uniform_element.code == 31021: # [0] array = np.empty(entry.shape, int) if not self._compressed or entry.flags & SCALAR: for rank in range(1, entry.shape[0] + 1): array[rank - 1] = codes_get_long( self._handle, f"#{rank}#{entry.name}" ) else: for rank in range(1, entry.shape[0] + 1): array[rank - 1, :] = codes_get_long_array( self._handle, f"#{rank}#{entry.name}" ) else: ktype = None if entry.name == "second": if entry.uniform_element and entry.uniform_element.scale == 0: ktype = int # [1] array_or_list = codes_get_array(self._handle, entry.name, ktype) if isinstance(array_or_list, list) and isinstance(array_or_list[0], str): if not entry.uniform_element: raise NotImplementedError( "Non-uniform string keys are not supported yet: %s" % entry.name ) element = self._tables.elements[entry.uniform_element.code] byte_count, remainder = divmod(element.width, 8) assert remainder == 0 dtype = np.dtype(("associatedFieldSignificance # values (descriptor 31021) with a single call to codes_get_array(), so # we have to get the values one rank at a time. See ECC-2098. # # [1] ecCodes infers native type of key 'second' (descriptor 004006) to # be float, but this is not quite right. The default scale of this # descriptor is 0, meaning it can't represent floating-point values. # So, in the absence of 'Change scale' operator, the default native # type should be int. # # [2] To work around ECC-1624, we have to get 'centre' values rank by rank. def commit(self, entry) -> None: key = entry.name array = entry.array array.data[array.mask] = array.fill_value if entry.association: a = entry.association rank_mask = a.rank_mask(entry.primary.name) array = array.reshape(entry.shape) for rank, value in enumerate(array, start=1): if rank_mask[rank - 1]: if value.ndim == 1: codes_set_array(self._handle, f"#{rank}#{key}", value.data) else: codes_set(self._handle, f"#{rank}#{key}", value) else: if array.dtype.type == np.str_: if array.size > 1 and not np.any(array != array.data[0][0]): codes_set_array(self._handle, key, array.data[0][0:1]) else: codes_set_array(self._handle, key, array.data.ravel()) elif self._compressed: rank_count = entry.shape[0] for rank in range(1, rank_count + 1): rank_array = array.data[rank - 1] if np.any(rank_array != rank_array[0]): codes_set_array(self._handle, f"#{rank}#{key}", rank_array) else: codes_set_array( self._handle, f"#{rank}#{key}", rank_array[0:1] ) # [2] else: if key == "centre": # [3] for rank in range(1, array.size + 1): codes_set(self._handle, f"#{rank}#{key}", array.data[rank - 1]) else: try: codes_set_array(self._handle, key, array.data) except ArrayTooSmallError as error: # [4] if ( entry.uniform_element and entry.uniform_element.code == 31021 ): for rank in range(1, array.size + 1): codes_set( self._handle, f"#{rank}#{key}", array.data[rank - 1] ) else: raise error if self._clone_handle: # [5] codes_release(self._clone_handle) self._clone_handle = 0 # [2] If all values in an array are the same, encode only a single scalar value. # # [3] The key 'centre' is also an alias for the header key 'headerCentre', # and calling codes_set_array() on an array of data elements would treat # the first element as a header value, which is not what we want. # To work around this we have to set the values rank by rank. See ECC-1624. # # [4] Currently, ecCodes doesn't allow to use codes_set_array() on # ...->associatedFieldSignificance keys, so we have to set the # values rank by rank. See ECC-2098. # # [5] If there had been any changes to the original handle since the # last time we created a clone, make sure we re-create the clone # from scratch next time around so that it picks the latest changes. # Note that this is only needed as a workarond for ECC-2015 and ECC-2016. def _ensure_correct_size(self, entry, array): if entry.flags & SCALAR: assert entry.shape[1] == 1 if array.size == entry.shape[0]: array = np.reshape(array, entry.shape) else: msg = f"'{entry.name}' is assumed to be a scalar element, but it has more than one value per rank" action = current_behaviour.on_assumed_scalar_element_invalid_size if action == "raise": raise ValueError(msg) elif action == "warn": warnings.warn(msg) elif action == "ignore": pass else: msg = f"'{action}' is not a valid action for `on_invalid_assumed_scalar_element_size`" raise ValueError(msg) entry.flags = entry.flags & ~Flags.SCALAR entry.shape = (entry.shape[0], self._subset_count) array = self._ensure_correct_size(entry, array) elif self._compressed: # Workaround for ECC-428 if array.size == entry.shape[0] and entry.shape[1] > 1: array = np.expand_dims(array, axis=1) array = np.broadcast_to(array, entry.shape).copy() # [1] elif array.size > entry.shape[0] and array.size < entry.size: new_array = np.empty(entry.shape, array.dtype) offset = 0 for rank in range(1, entry.shape[0] + 1): size = codes_get_size(self._handle, f"#{rank}#{entry.name}") assert size == entry.shape[1] or size == 1 new_array[rank - 1, :] = array[offset : offset + size] offset += size array = new_array elif array.size == 1 and entry.size > 1: array = np.full(entry.shape, array[0]) # [2] else: array = np.reshape(array, entry.shape) return array # [1], [2] Avoid creating unnecessary copies in read-only mode. TODO @cached_property def _tables(self) -> Tables: return self.get_tables() def get( self, key: str, header_only=False, data_only=False, validate=True ) -> ValueLike: if validate: if header_only and data_only: raise ValueError("header_only and data_only can't be both True") if header_only: if not codes_bufr_key_is_header(self._handle, key): raise NotFoundError(key) if key == "centre": raise NotFoundError( f"{key}: Did you mean bufrHeaderCentre? (see ECC-1624)" ) if "->" in key: # [1] raise NotFoundError(key) elif data_only: if codes_bufr_key_is_header(self._handle, key): raise NotFoundError(key) try: if key in ARRAY_KEYS: value = codes_get_array(self._handle, key) else: try: value = codes_get(self._handle, key) except ArrayTooSmallError: value = codes_get_array(self._handle, key) except NotFoundError as error: error.msg = key raise error return value # [1] Make sure we don't accidentally leak data section keys/values via # the Header class. This can happen if the user tries to get attribute # of an associated key, e.g., 'pressure->percentConfidence->code'. # This should be captured by codes_bufr_key_is_header(), but it's not! def get_tables(self) -> Tables: version = Version() version.master = cast( int, codes_get_long(self._handle, "masterTablesVersionNumber") ) version.local = cast( int, codes_get_long(self._handle, "localTablesVersionNumber") ) version.centre = cast(int, codes_get_long(self._handle, "bufrHeaderCentre")) version.subcentre = cast( int, codes_get_long(self._handle, "bufrHeaderSubCentre") ) tables = Tables(version) return tables def is_defined(self, key: str, header_only=False, data_only=False) -> bool: assert not (header_only and data_only) if defined := codes_is_defined(self._handle, key): if header_only: defined = codes_bufr_key_is_header(self._handle, key) elif data_only: defined = not codes_bufr_key_is_header(self._handle, key) return defined def is_missing(self, entry: DataEntry, slice: slice) -> bool: assert slice.stop - slice.start > 0 is_missing = 1 for rank in range(slice.start + 1, slice.stop + 1): if not ( is_missing := codes_is_missing(self._handle, f"#{rank}#{entry.name}") ): break return bool(is_missing) def set_missing(self, entry: DataEntry, slice): assert slice.stop - slice.start > 0 for rank in range(slice.start + 1, slice.stop + 1): codes_set_missing(self._handle, f"#{rank}#{entry.name}") def keys(self, header_only=False, data_only=False, **kwargs) -> Iterator[str]: assert not (header_only and data_only) yield from keys_of( self._handle, header_only=header_only, data_only=data_only, **kwargs ) def pack(self) -> bool: if self._unpacked: codes_set_long(self._handle, "pack", 1) total_length = codes_get_long(self._handle, "totalLength") try: codes_set_long(self._handle, "messageLength", min(total_length, 65535)) except NotFoundError: pass return True else: return False def release(self) -> None: if self._handle: codes_release(self._handle) self._handle = 0 if self._clone_handle: codes_release(self._clone_handle) self._clone_handle = 0 def set( self, key: str, value: ValueLike, header_only=False, data_only=False, validate=True, ignore_read_only_error=False, ) -> None: if validate: if header_only and data_only: raise ValueError("header_only and data_only can't be both True") if self._baked_template and key in INPUT_TEMPLATE_KEYS: raise ReadOnlyError(key) if key in ("pack", "unpack"): message = ( "%sing via the '%s' key is disallowed. Call %s() method istead." ) raise NotFoundError(message % (key.capitalize(), key, key)) if header_only: if not codes_bufr_key_is_header(self._handle, key): raise NotFoundError(key) if key == "centre": # [1] raise NotFoundError( f"{key}: Did you mean bufrHeaderCentre? (see ECC-1624)" ) elif data_only: if codes_bufr_key_is_header(self._handle, key): raise NotFoundError(key) if key == "unexpandedDescriptors": self._unpacked = True # for messages created from samples try: if hasattr(value, "__iter__") and not isinstance(value, str): codes_set_array(self._handle, key, value) else: codes_set(self._handle, key, value) except ReadOnlyError as error: if ignore_read_only_error: pass else: error.msg += f": {key}" raise error if not header_only: if self._clone_handle: # [2] codes_release(self._clone_handle) self._clone_handle = 0 # [1] ecCodes allows use of 'centre' as an alias for 'bufrHeaderCentre', but # we disallow it because it causes ambiguity when 'centre' simultaneously # appears in the data section too, such as in the presence of bitmap operator # for instance. It would be confusing if we returned combined values from # both the header and the data section in a single array when accessing # 'centre' from the Message view. Unfortunately, right now this is exactly # what ecCodes does (see ECC-1624). # # [2] If there had been any changes to the original handle's data section # since the last time we had created the clone, make sure we re-create # the clone from scratch next time around so that it picks up those changes. # Note that this is only needed because of ECC-2015 and ECC-2016. def unpack(self) -> bool: if self._unpacked: return False else: codes_set_long(self._handle, "skipExtraKeyAttributes", 1) # [1] codes_set_long(self._handle, "unpack", 1) self._unpacked = True return True # [1] We don't need to extract key attributes at the library level as we can # infer all attributes, lazily, from the ElementTable. def write(self, file: BinaryIO) -> int: self.pack() codes_write(self._handle, file) size = codes_get_message_size(self._handle) return size class KeysIterator(object): """A simple wrapper around `codes_keys_iterator()` function. This class is mostly for internal use. Generally speaking, users should rely on the higher-level interface provided by `Message`, `Header` and `Data` classes. """ def __init__(self, msg_handle, bufr_only=True, skip: FlagsLike = None): skip_flags = ensure_flags(skip) if bufr_only: self._handle = codes_bufr_keys_iterator_new(msg_handle) self._next = codes_bufr_keys_iterator_next self._get_name = codes_bufr_keys_iterator_get_name self._delete = codes_bufr_keys_iterator_delete else: self._handle = codes_keys_iterator_new(msg_handle) self._next = codes_keys_iterator_next self._get_name = codes_keys_iterator_get_name self._delete = codes_keys_iterator_delete if skip_flags & Flags.CODED: codes_skip_coded(self._handle) if skip_flags & Flags.COMPUTED: codes_skip_computed(self._handle) if skip_flags & Flags.READ_ONLY: codes_skip_read_only(self._handle) def __del__(self): self._delete(self._handle) def __iter__(self): return self def __next__(self): if self._next(self._handle): return self._get_name(self._handle) else: raise StopIteration def keys_of( msg_handle, bufr_only=True, header_only=False, data_only=False, skip: FlagsLike = None, ) -> Iterator[str]: """Returns an iterator over the keys of the message. By default, the iteration runs over all keys, which includes keys from both the header and the data section. Optionally, user can constrain the iterator to only return keys from one of the sections by setting `header_only` or `data_only` keyword argument. Note that in order to access data section keys, the message must be unpacked. It's user's responsibility to do so before calling this function. If the message hasn't been unpacked, trying to access data keys will raise an exception. When `bufr_only` is True, the iterator returns BUFR-specific keys only; if False, all generic keys are returned instead. This function is mostly for internal use. Generally speaking, users should rely on the higher-level interface provided by `Message`, `Header` and `Data` classes. """ if header_only and data_only: raise ValueError( "Keyword arguments `header_only` and `data_only` can't both be True" ) data_keys = False keys = KeysIterator(msg_handle, bufr_only, skip) data_keys_unaccessible = ( "Cannot access data keys because message hasn't been unpacked. " ) data_keys_unaccessible += "If you want to access header keys only, set keyword argument `header_only` to True." if bufr_only: for key in keys: if key == "unexpandedDescriptors": next_key = next(keys, None) if next_key is None: if not header_only: raise RuntimeError(data_keys_unaccessible) else: data_keys = True if header_only: yield key break elif data_only: key = next_key else: yield key key = next_key if data_only and not data_keys: continue yield key else: for key in keys: if key == "dataKeys": next_key = next(keys, None) if next_key == "section4Padding": if not header_only: raise RuntimeError(data_keys_unaccessible) else: data_keys = True if header_only: yield key key = next_key elif data_only: key = next_key else: yield key key = next_key elif key == "section4Padding": data_keys = False if (header_only and data_keys) or (data_only and not data_keys): continue yield key ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/helpers.py0000664000175000017500000004261215172126764025031 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # flake8: noqa: F405 # ruff: noqa: F403 from .common import * class RaggedArray: @staticmethod def empty(ndim=1): if ndim > 0: data = [] for _ in range(ndim - 1): data = [data] else: data = None return RaggedArray(data, ndim) def __init__(self, data, ndim=None): self.data = data if ndim is None: self.ndim = 0 while True: try: data = data[0] except (IndexError, TypeError): break else: self.ndim += 1 else: self.ndim = ndim def __repr__(self): return f"RaggedArray({self.data})" def __getitem__(self, index): try: value = self.data[index[0]] except (IndexError, TypeError): try: value = self.data[index] except TypeError: if index in ((), None): value = self.data else: raise IndexError(f"{index}") else: for i in range(1, len(index)): value = value[index[i]] return value def __setitem__(self, index, value): data = self.data try: for i in range(0, len(index) - 1): data = data[index[i]] except (IndexError, TypeError): try: self.data[index] = value except TypeError: if index in ((), None): self.data = value else: raise IndexError(f"{index}") else: data[index[-1]] = value def __bool__(self): if isinstance(self.data, list): def recurse(data): if not isinstance(data, list): return True elif len(data) == 0: return False elif len(data) > 1: return True else: return recurse(data[0]) return recurse(self.data) else: return bool(self.data) def insert(self, index, value): data = self.data try: for i in range(0, len(index) - 1): data = data[index[i]] data.insert(index[-1], value) except (IndexError, TypeError, AttributeError): try: data.insert(index, value) except (IndexError, TypeError): if index[i] == len(data): data.append([]) data = data[index[i]] data.insert(index[-1], value) else: raise IndexError(f"{index}") except AttributeError: if index in ((), None): self.data = value else: raise IndexError(f"{index}") class SingletonDict: # TODO: UserDict? """A dict which returns the same value, no matter the key. This is a helper class to optimize storage of key counts in leaf nodes where the counts remain the same for every replication. By using this class instead of the build-in dict, we save space without having to special-case access to the leaf nodes' counts in the rest of the code. """ def __init__(self): self._has_value = False def __getitem__(self, key): if self._has_value: return self._value else: raise KeyError(key) def __setitem__(self, key, value): # TODO: allow to set/update value only once self._value = value self._has_value = True def get_datetime( view: Union["View", abc.Mapping], rank: Optional[Union[int, slice]] = None, prefix: str = "", year: Optional[int] = None, month: Optional[int] = None, ) -> NDArray: """ Returns an array of type `datetime64` derived from datetime-related keys/values. """ date = get_date(view, rank, prefix, year, month) time = get_time(view, rank, prefix) if date is np.ma.masked or time is np.ma.masked: datetime = np.ma.masked else: datetime = date + time return datetime def get_date( view: Union["View", abc.Mapping], rank: Optional[Union[int, slice]] = None, prefix: str = "", year: Optional[int] = None, month: Optional[int] = None, ) -> NDArray: """ Returns a `datetime64` array derived from date-related keys/values. """ names = ("year", "month", "day") values = (year, month, None) dtypes = ("M8[Y]", "m8[M]", "m8[D]") offsets = (1970, 1, 1) parts = [] for name, value, dtype, offset in zip(names, values, dtypes, offsets): if prefix: name = name.capitalize() key = Key(prefix + name, rank if isinstance(rank, int) else None) value = view[key.string] if value is None else value part = ensure_masked_value(value, dtype) parts.append(part - offset) for i, part in enumerate(parts): if part is np.ma.masked: date = np.ma.masked break if isinstance(rank, slice): slice_ = decrement(rank) parts[i] = part[slice_] else: date = sum(parts) return date def get_time( view: Union["View", abc.Mapping], rank: Optional[Union[int, slice]] = None, prefix: str = "", ) -> NDArray: """ Returns a `timedelta64` array derived from time-related keys/values. """ names = ("hour", "minute", "second") dtypes = ("m8[h]", "m8[m]", "m8[s]") has_seconds = True parts = [] for name, dtype in zip(names, dtypes): if prefix: name = name.capitalize() key = Key(prefix + name, rank if isinstance(rank, int) else None) try: value = view[key.string] except (NotFoundError, KeyError) as error: if name in ("second", "Second"): has_seconds = False break else: raise error if name == "second": if value is np.ma.masked: part = value else: array = ensure_masked_array(value) if array.dtype == np.dtype("f8"): dtype = "m8[ms]" array.fill_value = missing_of(int) array.data[array.mask] = array.fill_value array = (array * 1000).astype(dtype) array.fill_value = np.array("NaT", dtype) elif array.dtype == np.dtype("i8"): array = array.view(dtype) else: array = cast(MaskedArray, array.astype(dtype)) if array.dtype == np.dtype("m8[s]"): max_value = np.array(60 - 1, array.dtype) elif array.dtype == np.dtype("m8[ms]"): max_value = np.array(60 * 1000 - 1, array.dtype) else: assert False array[:] = np.ma.where(array > max_value, max_value, array) if isinstance(value, abc.Iterable): part = array else: part = array[0] else: part = ensure_masked_value(value, dtype) parts.append(part) if not prefix: key = Key( "secondsWithinAMinuteMicrosecond", rank if isinstance(rank, int) else None ) try: value = view[key.string] except (NotFoundError, KeyError): pass else: array = ensure_masked_array(value) useconds = np.ma.empty(array.shape, dtype="m8[us]") useconds.fill_value = np.array("NaT", dtype="m8[us]") useconds[:] = array * 1000000 max_useconds = np.array(60 * 1000000 - 1, dtype="m8[us]") # [1] useconds[:] = np.ma.where(useconds > max_useconds, max_useconds, useconds) if isinstance(value, abc.Iterable): part = useconds else: part = useconds[0] if has_seconds: parts.pop() # [2] parts.append(part) for i, part in enumerate(parts): if part is np.ma.masked: time = np.ma.masked break if isinstance(rank, slice): slice_ = decrement(rank) parts[i] = part[slice_] else: time = sum(parts) return time # [1] Note that 'seconds...Microsecond' is a floating-point number where the # whole part is seconds and the decimal part is microseconds. # # [2] Because of [1], if the message contains both keys, the 'second' and the # 'seconds...Microsecond', use the latter. (Yes, such messages do exist!) def set_datetime( view: Union["View", abc.MutableMapping], value: Union[DateLike, np.ndarray], rank: Optional[int] = None, prefix: str = "", ) -> None: set_date(view, value, rank, prefix) set_time(view, value, rank, prefix) def set_date( view: Union["View", abc.MutableMapping], value: Union[DateLike, np.ndarray], rank: Optional[int] = None, prefix: str = "", ) -> None: names = ["year", "month", "day"] keys = [] for i, name in enumerate(names): if prefix: name = prefix + name.capitalize() keys.append(Key(name, rank).string) year, month, day = keys if isinstance(value, np.ndarray): view[year] = value.astype("M8[Y]").astype(int) + 1970 view[month] = value.astype("M8[M]").astype(int) % 12 + 1 view[day] = (value.astype("M8[D]") - value.astype("M8[M]")).astype(int) + 1 else: date = ensure_date(value) view[year] = date.year view[month] = date.month view[day] = date.day def set_time( view: Union["View", abc.MutableMapping], value: Union[TimeLike, np.ndarray], rank: Optional[int] = None, prefix: str = "", ) -> None: keys = ["hour", "minute", "second"] for i, name in enumerate(keys): if prefix: name = prefix + name.capitalize() keys[i] = Key(name, rank).string hour, minute, second = keys if isinstance(value, np.ndarray): delta = (value - value.astype("M8[D]")).astype("timedelta64[s]").view(int) view[hour] = delta // 3600 view[minute] = (delta % 3600) // 60 try: view[second] = delta % 60 except (NotFoundError, KeyError): pass else: time = ensure_time(value) view[hour] = time.hour view[minute] = time.minute try: view[second] = time.second except (NotFoundError, KeyError): pass def ensure_date(value: DateLike) -> dt.date: """Takes a date-like value and converts it to `dt.date`.""" date: dt.date if isinstance(value, dt.date): date = value elif isinstance(value, dt.datetime): date = value.date() elif isinstance(value, np.datetime64): date = value.astype("M8[D]").item() elif isinstance(value, str): try: date = dt.datetime.fromisoformat(value).date() except ValueError: try: date = dt.datetime.strptime(value, "%Y%m%d").date() except ValueError: raise ValueError(f"Cannot convert string '{value}' to `dt.date`") else: raise TypeError("Cannot convert value of type `%s` to `dt.time`" % type(value)) return date def ensure_time(value: TimeLike) -> dt.time: """Takes a time-like value and converts it to `dt.time`.""" if isinstance(value, dt.time): time = value elif isinstance(value, dt.datetime): time = value.time() elif isinstance(value, dt.timedelta): time = (dt.datetime.min + value).time() elif isinstance(value, np.datetime64): time = value.astype("M8[s]").item().time() elif isinstance(value, np.timedelta64): total_seconds = value.astype("m8[s]").astype(int) hours = total_seconds // 3600 minutes = (total_seconds % 3600) // 60 seconds = total_seconds % 60 time = dt.time(hours, minutes, seconds) elif isinstance(value, str): for format in ["%H:%M:%S", "%H:%M", "%H%M%S", "%H%M"]: try: time = dt.datetime.strptime(value, format).time() except ValueError: continue else: break else: raise ValueError(f"Cannot convert string '{value}' to `dt.time`") else: raise TypeError("Cannot convert value of type `%s` to `dt.time`" % type(value)) return time def ensure_array( value: Any, dtype: Optional[DTypeLike] = None ) -> Union[NDArray, MaskedArray]: """Takes a value and converts it to `np.ndarray`.""" if isinstance(value, np.ndarray): array = value if dtype: dtype = np.dtype(dtype) if dtype.type in (np.datetime64, np.timedelta64): if array.dtype.type == np.int64: array = array.view(dtype) else: array = array.astype(dtype) else: array = array.astype(dtype, copy=False) elif isinstance(value, abc.Iterable): if isinstance(value, str): array = np.array([value], dtype=dtype) else: array = np.array(value, dtype=dtype) else: array = np.array([value], dtype=dtype) return array def ensure_masked_value(value: Any, dtype: Optional[DTypeLike]) -> MaskedArray: if value is np.ma.masked: return value else: array = ensure_masked_array(value, dtype) if isinstance(value, abc.Iterable): return array else: assert array.size == 1 return array[0] def ensure_masked_array(value: Any, dtype: Optional[DTypeLike] = None) -> MaskedArray: """Takes a value and converts it to `np.ma.MaskedArray`.""" array = ensure_array(value, dtype) if isinstance(value, np.ma.core.MaskedConstant): masked_array = cast(np.ma.MaskedArray, array.ravel()) # [1] elif isinstance(array, np.ma.MaskedArray): masked_array = array else: try: missing = missing_of(array.dtype) except ValueError: masked_array = np.ma.array(array, mask=False, copy=False) # [2] else: masked_array = np.ma.masked_equal(array, missing, copy=False) if dtype and np.dtype(dtype).type in (np.datetime64, np.timedelta64): masked_array.fill_value = np.array("NaT", dtype) return masked_array # [1] We are converting MaskedConstant (i.e., np.ma.masked) into 1d array # so that we can do a slice assignment. This reduces number of code paths # later on. # # [2] Assume no masked values for non-native types which cannot accomodate # missing values, such as int16, float32, etc.. def decrement(value: Union[int, range, slice]) -> Union[int, range, slice]: """Decrements a value by one.""" if isinstance(value, int): value -= 1 elif isinstance(value, range): value = range(value.start - 1, value.stop - 1, value.step) elif isinstance(value, slice): start = None if value.start is None else value.start - 1 stop = None if value.stop is None else value.stop - 1 value = slice(start, stop, value.step) else: raise TypeError("Cannot decrement value of type `%s`" % type(value)) return value def flatten(items): """Flattens arbitrarily nested sequences. Examples: >>> list(flatten([1, (2, (3, 4), [[5]])])) [1, 2, 3, 4, 5] >>> list(flatten(1)) [1] """ try: for outer in items: try: for inner in flatten(outer): yield inner except TypeError: yield outer except TypeError: yield items MISSING_OF = { str: "", int: CODES_MISSING_LONG, float: CODES_MISSING_DOUBLE, np.int32: CODES_MISSING_LONG, np.int64: CODES_MISSING_LONG, np.float64: CODES_MISSING_DOUBLE, np.dtype("i4"): CODES_MISSING_LONG, np.dtype("i8"): CODES_MISSING_LONG, np.dtype("f8"): CODES_MISSING_DOUBLE, } def missing_of(obj: Any) -> Union[int, float, str]: """Returns corresponding missing value for the given object or type.""" try: missing = MISSING_OF[obj] except (KeyError, TypeError): if isinstance(obj, np.ndarray): try: missing = missing_of(obj.dtype) except KeyError: missing = None elif isinstance(obj, np.dtype): if obj.type == np.str_: missing = "" elif obj.type in (np.datetime64, np.timedelta64): missing = np.array(CODES_MISSING_LONG, dtype=obj) else: missing = None elif hasattr(obj, "__iter__") and len(obj) > 0: missing = missing_of(type(obj[0])) elif not isinstance(obj, type): missing = missing_of(type(obj)) else: missing = None if missing is None: raise ValueError("Object %s has no corresponding missing value" % obj) return missing ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/message.py0000664000175000017500000003726415172126764025022 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import datetime as dt from .coder import Coder from .common import * from .data import Data from .header import Header from .view import View # flake8: noqa: F405 # ruff: noqa: F403 class Message(View): def __init__(self, source) -> None: if isinstance(source, Coder): coder = source else: coder = Coder(source) self.header = Header(coder) self.data = Data(coder) self._coder = coder def __contains__(self, key: str) -> bool: """Return True if `key` is defined, otherwise return False.""" return (key in self.header) or (key in self.data) def __enter__(self): return self def __exit__(self, *args): self._coder.release() def __eq__(self, other: object) -> bool: if isinstance(other, BUFRMessage): eq = (self.header == other.header) and (self.data == other.data) else: eq = False return eq def __getitem__(self, key: str) -> ValueLike: if self._coder._unpacked: try: value = cast(ValueLike, self.data[key]) except NotFoundError: value = self.header[key] else: try: value = self.header[key] except NotFoundError: value = cast(ValueLike, self.data[key]) return value def __setitem__(self, key: str, value: ValueLike) -> None: if self._coder._unpacked: try: self.data[key] = value except NotFoundError: self.header[key] = value else: try: self.header[key] = value except NotFoundError: self.data[key] = value def __str__(self) -> str: import pprint d = self.as_dict() return pprint.pformat(d, sort_dicts=False) @classmethod def from_samples(cls, sample_name): """Creates a new message from the sample.""" return cls(Coder(sample_name)) def copy( self, *, subsets: Optional[Union[NDArray, Sequence, slice]] = None ) -> "BUFRMessage": """Returns a new copy of the message. If the optional argument `subsets` is specified, only the selected subsets will be copied. `subsets` can be a mask, an array or a sequence of (0-based) subset indices, or a slice. For conveniece, `subsets` can also be a slice with numpy's `datetime64` objects, or with the built-in `datetime` objects. For such slices the stop bounds are inclusive. """ self._commit() # [1] if ( subsets is not None and isinstance(subsets, slice) and ( isinstance(subsets.start, (np.datetime64, dt.datetime)) or isinstance(subsets.stop, (np.datetime64, dt.datetime)) ) ): datetime = self.data.get_datetime(rank=1) start = dt.datetime.min if subsets.start is None else subsets.start stop = dt.datetime.max if subsets.stop is None else subsets.stop mask = np.logical_and(datetime >= start, datetime <= stop) coder = self._coder.clone(mask) else: coder = self._coder.clone(subsets) message = BUFRMessage(coder) return message # [1] In theory we could avoid committing (and hence packing) if we # copied the "original" data plus Data's cache and tree structure. TODO def copy_to( self, other: "BUFRMessage", header_only=False, data_only=False, skip_template_keys=False, ) -> None: """Copies common keys/values from this message to `other`.""" if header_only and data_only: raise ValueError("`header_only` and `data_only` can't both be true") if not data_only: self.header.copy_to(other.header, skip_template_keys) if not header_only: self.data.copy_to(other.data) def get_count(self, key: str) -> int: """Returns the number of elements designated by the given key.""" if self._coder._unpacked: try: count = self.data.get_count(key) except NotFoundError: count = self.header.get_count(key) else: try: count = self.header.get_count(key) except NotFoundError: count = self.data.get_count(key) return count def get_shape(self, key: str) -> Tuple[int, ...]: """Returns shape of the given key.""" if self._coder._unpacked: try: shape = self.data.get_shape(key) except NotFoundError: shape = self.header.get_shape(key) else: try: shape = self.header.get_shape(key) except NotFoundError: shape = self.data.get_shape(key) return shape def get_size(self, key: str) -> int: """Returns size of the given key.""" if self._coder._unpacked: try: size = self.data.get_size(key) except NotFoundError: size = self.header.get_size(key) else: try: size = self.header.get_size(key) except NotFoundError: size = self.data.get_size(key) return size def is_missing(self, key: str) -> bool: """Checks the key is set to missing value. If the value is an array, returns true only if all elements in the array are set to missing value. """ if self._coder._unpacked: try: is_missing = self.data.is_missing(key) except NotFoundError: is_missing = self.header.is_missing(key) else: try: is_missing = self.header.is_missing(key) except NotFoundError: is_missing = self.data.is_missing(key) return is_missing def set(self, key: str, value: ValueLike) -> None: if self._coder._unpacked: try: self.data.set(key, value) except NotFoundError: self.header.set(key, value) else: try: self.header.set(key, value) except NotFoundError: self.data.set(key, value) def set_missing(self, key: str) -> None: """Sets the key to missing value. If the value is an array, sets all elements to missing value. """ if self._coder._unpacked: try: self.data.set_missing(key) except NotFoundError: self.header.set_missing(key) else: try: self.header.set_missing(key) except NotFoundError: self.data.set_missing(key) def get_buffer(self) -> bytes: """Returns a buffer containing the encoded message.""" self._commit() return self._coder.get_buffer() def as_dict(self, ranked=False, depth=0, **kwds) -> Dict: """Returns dict-like representation of the message items.""" header_only = kwds.pop("header_only", False) data_only = kwds.pop("data_only", False) if not data_only: h = self.header.as_dict(ranked, depth - 1, **kwds) if not header_only: d = self.data.as_dict(ranked, depth - 1, **kwds) if header_only: m = h elif data_only: m = d else: if depth > 0: m = {"header": h, "data": d} else: m = h | d return m def items(self, ranked=False, **kwds) -> Iterator[Tuple[str, ValueLike]]: yield from self.header.items(ranked, **kwds) yield from self.data.items(ranked, **kwds) def keys(self, ranked=False, **kwds) -> Iterator[str]: yield from self.header.keys(ranked, **kwds) yield from self.data.keys(ranked, **kwds) def pack(self) -> None: """Encodes the contents of the data section into an internal buffer. Note that this happens automatically whenever needed (before writing to a file, before copying, etc.), so users don't need to call this method explicitly. """ self._commit() self._coder.pack() def unpack(self) -> None: """Decodes the contents of the data section into an internal representation. Note that this happens automatically whenever needed (when accessing data section keys for the first time, before copying, etc.), so users don't need to call this method explicitly. """ self._coder.unpack() def write(self, file: BinaryIO) -> int: import warnings warnings.warn( "Method write() is deprecated. Use method write_to() instead.", DeprecationWarning, ) return self.write_to(file) def write_to(self, file: BinaryIO) -> int: """Encodes the message (if not already encoded) and writes it to a file. Returns the size of the encoded message in bytes. `file` must be a file-like object. """ self._commit() size = self._coder.write(file) return size def _commit(self) -> None: if current_behaviour.update_header_from_data_before_packing: self.update_header_from_data(skip_dirty=True) self.header._commit() self.data._commit() @property def _handle(self) -> int: return self._coder._handle def update_header_from_data(self, skip_dirty=False) -> None: """Updates some of the header keys based on keys from the data section. This method sets header keys such as 'typicalYear', 'localMonth', 'localLatitude', etc., based on keys from the data section: 'year', 'month', 'latitude', etc. If there are no datetime-related keys in message's data section, or if some of the keys that are needed to construct a complete datetime object are missing, the header keys are not updated. In the case of multi-subset messages we use the min value across all subsets. Note that this method is called automatically before packing, so users typically don't need to call this method explicitly. However, if this behaviour is not desirable, it can be switched off by setting the `Behaviour` option `update_header_from_data_before_packing` to `False`. """ datetime_counts = {} for key in ("year", "month", "day", "hour", "minute"): try: entry = self.data._entries[key] except KeyError: has_datetime = False break if entry.array is None: has_datetime = False break else: datetime_counts[key] = self.data.get_count(key) else: if all(c == datetime_counts["year"] for c in datetime_counts.values()): datetime_array = self.data.get_datetime() else: max_common_rank = min(datetime_counts.values()) datetime_array = self.data.get_datetime( rank=slice(1, max_common_rank + 1) ) min_datetime = np.min(datetime_array) if min_datetime is np.ma.masked: has_datetime = False else: datetime = min_datetime.item() has_datetime = True if has_datetime: items = ["Year", "YearOfCentury", "Day", "Hour", "Minute", "Second"] if not (_any_dirty(self.header, "typical", items) and skip_dirty): if self.header["edition"] == 3: self.header["typicalYearOfCentury"] = datetime.year % 100 else: self.header["typicalYear"] = datetime.year self.header["typicalMonth"] = datetime.month self.header["typicalDay"] = datetime.day self.header["typicalHour"] = datetime.hour self.header["typicalMinute"] = datetime.minute self.header["typicalSecond"] = datetime.second if self.header["section2Present"] and self.header["bufrHeaderCentre"] == 98: if has_datetime: items = ["Year", "Day", "Hour", "Minute", "Second"] if not (skip_dirty and _any_dirty(self.header, "local", items)): self.header["localYear"] = datetime.year self.header["localMonth"] = datetime.month self.header["localDay"] = datetime.day self.header["localHour"] = datetime.hour self.header["localMinute"] = datetime.minute self.header["localSecond"] = datetime.second now = dt.datetime.now(dt.timezone.utc) for prefix in ("rdbtime", "rectime"): items = ["Day", "Hour", "Minute", "Second"] if not (skip_dirty and _any_dirty(self.header, prefix, items)): self.header[f"{prefix}Day"] = now.day self.header[f"{prefix}Hour"] = now.hour self.header[f"{prefix}Minute"] = now.minute self.header[f"{prefix}Second"] = now.second try: lat_entry = self.data._entries["latitude"] lon_entry = self.data._entries["longitude"] except KeyError: has_latlon = False else: if has_latlon := (lat_entry.array is not None) and ( lon_entry.array is not None ): lat = lat_entry.array.ravel() lon = lon_entry.array.ravel() if self.header["compressedData"]: if cast(int, self.header["numberOfSubsets"]) > 1: if has_latlon: items = ["Latitude1", "Latitude2", "Longitude1", "Longitude2"] if not (skip_dirty and _any_dirty(self.header, "local", items)): self.header["localLatitude1"] = numpy.min(lat) self.header["localLatitude2"] = numpy.max(lat) self.header["localLongitude1"] = numpy.min(lon) self.header["localLongitude2"] = numpy.max(lon) self.header["localNumberOfObservations"] = self.header[ "numberOfSubsets" ] else: if has_latlon: items = ["Latitude1", "Longitude1"] if not (skip_dirty and _any_dirty(self.header, "local", items)): self.header["localLatitude1"] = lat[0] self.header["localLongitude1"] = lon[0] else: if has_latlon: items = ["Latitude1", "Longitude1"] if not (skip_dirty and _any_dirty(self.header, "local", items)): self.header["localLatitude"] = lat[0] self.header["localLongitude"] = lon[0] def _any_dirty(header: Header, prefix: str, keys: Sequence[str]) -> bool: for key in keys: try: entry = header._cache[f"{prefix}{key}"] except KeyError: continue else: if entry.dirty: return True else: return False BUFRMessage = Message ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/tree.py0000664000175000017500000005771315172126764024336 0ustar alastairalastair# Copyright 2022- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. import re from copy import copy from itertools import repeat from .common import * from .helpers import RaggedArray, SingletonDict from .tables import Code, Element # flake8: noqa: F405 # ruff: noqa: F403 INT_UNITS = re.compile(r"%|.*CODE TABLE.*|.*FLAG TABLE.*|Numeric|a|d|h|min|mon|s") @dataclass class Node: parent: Any = field(repr=False) ordinal: int = 0 # [1] level: int = 0 # [2] depth: int = 0 # [3] children: List = field(default_factory=list) starts: Dict[MultiIndex, Counter] = field(default_factory=dict) slices: Dict[MultiIndex, slice] = field(default_factory=dict) max_levels: Dict[str, int] = field(default_factory=dict) # [4] def __post_init__(self): if self.parent: self.depth = self.parent.depth + 1 # [1] Node's (0-based) ordinal number in its parent's list of children. # # [2] Replication level: leaf node(s) of the outer-most replication have # level=0, in the next inner replication level=1, etc. This level # also corresponds to the `ndim` of the RaggedArray of replication # factors. # # [3] Distance from the root node. Note that this is not the same as the # (replication) level! # # [4] A dictionary of the max. (replication) level of each key accessible # from this node. For WrapperNodes this includes keys from all children # subnodes, and their subnotes, transitively. This is used in DataView # objects to infer shapes of the respective array views. @dataclass class WrapperNode(Node): counts: Dict[MultiIndex, Counter] = field(default_factory=dict) @dataclass class ReplicationNode(Node): counts: Dict[MultiIndex, Counter] = field(default_factory=dict) element: Element = field(default_factory=Element) factors: RaggedArray = field(default_factory=RaggedArray.empty) reset: bool = True def __post_init__(self): super().__post_init__() self.factors = RaggedArray.empty(self.level) @dataclass class LeafNode(Node): keys: List[Key] = field(default_factory=list) counts: SingletonDict = field(default_factory=SingletonDict) @dataclass class AssociationNode(Node): operator: int = 0 reuse_bitmap: bool = False for_reuse: bool = False bitmap_size: Optional[int] = None center: Element = field(default_factory=Element) generating_application: Element = field(default_factory=Element) code_table: int = 0 value_factor: Optional[Code] = None value_size: Optional[int] = None element: Element = field(default_factory=Element) bitmap: Optional[NDArray] = None bitmap_end: int = 0 keys: List[Key] = field(default_factory=list) counts: Dict[MultiIndex, Counter] = field(default_factory=dict) def build_tree(coder): tables = coder.get_tables() operators = {4: []} # key: Code.X, value: a stack of Code.Y values (aka operands) def parse(parent, codes, level=0): keys = [] children = [] change_scale = None change_width = None while True: if not codes: if keys: leaf = LeafNode(parent, len(children), level, keys=keys) children.append(leaf) break next = codes.pop(0) # Sequence if next.F == 3: sequence_codes = list(tables.expand_codes(next, recursive=False)) codes = sequence_codes + codes # Operator: Cancel reuse of bitmap elif next == 223255: next = codes.pop(0) # Operator: Quality information follows elif next in (222000, 223000, 224000, 225000): if keys: leaf = LeafNode(parent, len(children), level, keys=keys) children.append(leaf) keys = [] node = AssociationNode(parent, len(children), level, operator=next) next = codes.pop(0) assert next in [236000, 237000] or next.F == 1 # Operator: Define bitmap for possible reuse if next == 236000: node.for_reuse = True next = codes.pop(0) # Process bitmap if next != 237000: if next.F == 1: # replication assert next.X == 1 # replicate only one element if next.Y == 0: # delayed replication next = codes.pop(0) assert next.FX == (0, 31) # delayed replication factor element = tables.elements[next] node.keys.append( Key( element.name, element=element, flags=CODED | SCALAR | FACTOR | READ_ONLY, ) ) else: # fixed replication node.bitmap_size = next.Y next = codes.pop(0) else: # no replication node.bitmap_size = 1 assert next == 31031 # dataPresentIndicator element = tables.elements[next] # TODO node.keys.append(Key(element.name, element=element, flags=CODED|BITMAP|READ_ONLY)) # Operator: Reuse bitmap else: node.reuse_bitmap = True # The next element is expected to be 'centre' next = codes.pop(0) element = tables.elements[next] assert element.name == "centre" node.center = element node.keys.append(Key(element.name, element=element, flags=CODED)) # The next elements are expected to be 'generatingApplication' # Note that the generalApplication element can show up in # the local table too (e.g. 001201 from local/1/98/0). next = codes.pop(0) element = tables.elements[next] assert element.name == "generatingApplication" node.generating_application = element node.keys.append(Key(element.name, element=element, flags=CODED)) next = codes.pop(0) # Class 8 element (optional) if next.X == 8: node.code_table = next element = tables.elements[next] node.keys.append(Key(element.name, element=element, flags=CODED)) next = codes.pop(0) # Process the actual quality element (e.g. percentConfidence) if next.F == 1: # replication assert next.X == 1 # replicate only one element if next.Y == 0: # delayed replication next = codes.pop(0) node.value_factor = next assert next.FX == (0, 31) # delayed replication factor element = tables.elements[next] node.keys.append( Key( element.name, element=element, flags=CODED | SCALAR | FACTOR | READ_ONLY, ) ) else: # fixed replication node.value_size = next.Y next = codes.pop(0) else: # no replication pass if node.operator == 222000: assert next.FX == (0, 33) # expecting Class 33 element node.element = tables.elements[next] else: if node.operator == 223000: assert next == 223255 name = "substitutedValue" elif node.operator == 224000: assert next == 224255 name = "firstOrderStatisticalValue" elif node.operator == 225000: assert next == 225255 name = "differenceStatisticalValue" node.element = Element(next, name, "", 0, 0, 0) # When there is no prior replication, the associated element can # appear two or more times (aka "inlined" replication). if not node.value_factor and node.value_size is None: node.value_size = 1 while codes and codes[0] == node.element.code: next = codes.pop(0) node.value_size += 1 children.append(node) # Operator elif next.F == 2: # Operator: Change width if next.X == 1: if next.Y > 0: change_width = next.Y - 128 else: change_width = None # Operator: Change scale if next.X == 2: if next.Y > 0: change_scale = next.Y - 128 else: change_scale = None # Operator: Add associated field elif next.X == 4: if next.Y > 0: if codes[0] != 31021: # Associated field significance # TODO: malformed message: raise warning operators[4].append(8) else: next = codes.pop(0) operators[4].append(next.Y) else: operators[4].pop() # Operator: Signify data width for the following local descriptor elif next.X == 6: if codes[0] not in tables.elements: codes.pop(0) # Replication elif next.F == 1: span = next.X # Delayed replication if next.Y == 0: next = codes.pop(0) assert next.FX == (0, 31) and next.Y in ( 0, 1, 2, 11, 12, ) # delayed repl. factor element = tables.elements[next] key = Key( element.name, element=element, flags=CODED | SCALAR | FACTOR | READ_ONLY, ) keys.append(key) leaf = LeafNode(parent, len(children), level, keys=keys) children.append(leaf) wrapper = WrapperNode(parent, len(children), level) replication = ReplicationNode(wrapper, 0, level, element=element) wrapper.children.append(replication) parse(replication, codes[:span], level + 1) children.append(wrapper) codes = codes[span:] keys = [] # Fixed replication else: assert next.X <= len(codes) codes = codes[: next.X] * next.Y + codes[next.X :] # Element elif next.F == 0: element = tables.elements[next] if change_width or change_scale: element = copy(element) if change_width: element.width += change_width if change_scale: element.scale += change_scale key = Key(element.name, element=element) keys.append(key) # Append associated field keys for Y in operators[4]: name = f"{element.name}->associatedField" key = Key( name, element=Element(0, name, "associated units", 0, 0, 2) ) keys.append(key) name = f"{name}->associatedFieldSignificance" key = Key(name, element=tables.elements[31021]) keys.append(key) else: assert False parent.children = children # Parse (unexpanded) descriptors codes = coder.get("unexpandedDescriptors") codes = [Code(c) for c in codes.tolist()] subset_count = coder.get("numberOfSubsets") compressed = coder.get("compressedData") root = WrapperNode(parent=None) if compressed or subset_count == 1: parse(root, codes) else: for ordinal in range(subset_count): node = WrapperNode(root, ordinal) parse(node, codes.copy()) root.children.append(node) # Assign (delayed replication) factors global_factors = coder.get_delayed_replication_factors() def assign_factors(root: Node, global_factors: Dict[int, NDArray]) -> None: counter = Counter() def recurse(node, index): if isinstance(node, WrapperNode): for child in node.children: recurse(child, index) elif isinstance(node, ReplicationNode): assert len(index) == node.level code = node.element.code at = counter[code] counter[code] += 1 factor = global_factors[code][at] node.factors.insert(index, factor) for i in range(factor): for child in node.children: recurse(child, index + (i,)) elif isinstance(node, LeafNode): pass elif isinstance(node, AssociationNode): assert node.level == 0 if node.reuse_bitmap: pass else: if node.bitmap_size is None: code = node.keys[0].element.code assert code.FX == (0, 31) at = counter[code] counter[code] += 1 node.bitmap_size = global_factors[code][at] if node.value_size is None: code = node.value_factor assert code.FX == (0, 31) at = counter[code] counter[code] += 1 node.value_size = global_factors[code][at] else: assert False recurse(root, ()) for code, count in counter.items(): if remaining := len(global_factors[code]) - count: raise RuntimeError( f"There are {remaining} unprocessed replication factors" ) assign_factors(root, global_factors) # Make entries def make_entries(root: Node) -> Dict[str, DataEntry]: entries: Dict[str, DataEntry] = {} def recurse(node): if isinstance(node, (WrapperNode, ReplicationNode)): for child in node.children: recurse(child) elif isinstance(node, (LeafNode, AssociationNode)): for key in node.keys: try: entry = entries[key.name] except KeyError: entry = DataEntry(key.name, flags=key.flags) if entry.name in current_behaviour.assumed_scalar_elements: entry.flags |= SCALAR entry.uniform_element = key.element entries[entry.name] = entry else: if entry.uniform_element: if entry.uniform_element != key.element: entry.uniform_element = None else: assert False recurse(root) return entries entries = make_entries(root) for code, array in global_factors.items(): element = tables.elements[code] entry = entries[element.name] entry.shape = (array.size, 1) entry.array = np.reshape(array, entry.shape) # Assign bitmaps global_bitmap = coder.get_bitmap() def assign_bitmaps(root: Node, global_bitmap: NDArray) -> None: bitmap_for_reuse = None global_bitmap = copy( global_bitmap ) # parameter must be copied to be used as nonlocal for node in root.children: if not isinstance(node, AssociationNode): continue if node.reuse_bitmap: assert bitmap_for_reuse is not None node.bitmap = bitmap_for_reuse else: node.bitmap = global_bitmap[: node.bitmap_size] global_bitmap = global_bitmap[node.bitmap_size :] if node.for_reuse: bitmap_for_reuse = node.bitmap assert node.bitmap is not None bitmap_count = numpy.count_nonzero(node.bitmap) assert node.value_size is not None if node.value_size > bitmap_count: # Although incorrect, assuming we can access bitmap_count # associated keys this shouldn't be a problem. pass # TODO: Issue a warning? elif node.value_size < bitmap_count: indices = numpy.arange(node.bitmap.size) cutoff = indices[node.bitmap][node.value_size] node.bitmap[cutoff:] = False # TODO: Maybe print a warning? assign_bitmaps(root, global_bitmap) # Resovle elements' (0-based) indices def resolve_indices(root: Node) -> Tuple[Dict[str, NDArray], int]: def extend(this, other): for k, v in other.items(): this[k].extend(v) return this def recurse(node, counter, index): indices = defaultdict(list) if isinstance(node, WrapperNode): for child in node.children: child_indices, counter = recurse(child, counter, index) indices = extend(indices, child_indices) elif isinstance(node, ReplicationNode): assert node.level == len(index) for i in range(node.factors[index]): for child in node.children: child_indices, counter = recurse(child, counter, index + (i,)) indices = extend(indices, child_indices) elif isinstance(node, LeafNode): for k in node.keys: indices[k.name].append(counter) counter += 1 elif isinstance(node, AssociationNode): node.bitmap_end = counter else: assert False return indices, counter indices, counter = recurse(root, 0, ()) indices = {k: numpy.array(v) for k, v in indices.items()} return indices, counter if len(global_bitmap) > 0: indices, next_index = resolve_indices(root) # Make associations def make_associations(root: Node) -> Dict[Tuple[str, int], Association]: ranks = Counter() associations = {} for node in root.children: if not isinstance(node, AssociationNode): continue dtype: DTypeLike = numpy.dtype(float) if node.operator == 222000: e = node.element if e.scale == 0 and INT_UNITS.match(e.units): dtype = numpy.dtype(int) ranks[node.element.name] += 1 rank = ranks[node.element.name] assert node.bitmap is not None bitmap_offset = node.bitmap_end - len(node.bitmap) a = Association( node.element, rank, dtype, node.bitmap, bitmap_offset, indices ) associations[node.element.name, rank] = a return associations associations = make_associations(root) # Do we still need this? TODO bitmap_nodes = [ (i, c) for i, c in enumerate(root.children) if isinstance(c, AssociationNode) ] if bitmap_nodes: for i, node in reversed(bitmap_nodes): for element in (node.center, node.generating_application): if element.name not in indices: indices[element.name] = numpy.array([next_index]) else: indices[element.name] = numpy.append( indices[element.name], next_index ) next_index += 1 # Append associated entries for a in associations.values(): for pg in list(entries.values()): a_name = "->".join(repeat(a.element.name, a.element_rank)) # if pg.flags & SCALAR: # continue # TODO: are there cases where 'center' and 'originatingApplication' appear outside of bitmap sequence? if a.any_rank_set(pg.name): name = f"{pg.name}->{a_name}" ag = DataEntry(name, association=a, primary=pg) ag.flags = pg.flags if pg.uniform_element: if a.element.code.FX != (0, 33): ag.uniform_element = copy(a.element) ag.uniform_element.units = pg.uniform_element.units else: ag.uniform_element = a.element entries[name] = ag a.entries[pg.name] = ag # Insert associated keys def insert_associated_keys(root: Node, associations) -> None: def recurse(node, associated): if isinstance(node, (WrapperNode, ReplicationNode)): for child in node.children: recurse(child, associated) elif isinstance(node, LeafNode): name_suffix = "->".join( repeat(associated.element.name, associated.element_rank) ) copy_units = associated.element.code.FX != (0, 33) keys = [] for key in node.keys: keys.append(key) if key.name in associated.entries: if copy_units: element = copy(associated.element) assert key.element element.units = key.element.units else: element = associated.element key = Key( f"{key.name}->{name_suffix}", secondary=name_suffix, element=element, ) keys.append(key) node.keys = keys elif isinstance(node, AssociationNode): pass else: assert False for each in associations: recurse(root, each) insert_associated_keys(root, associations.values()) # Resolve max. replication levels def resolve_max_levels(node: Node) -> None: if isinstance(node, (WrapperNode, ReplicationNode)): for child in node.children: resolve_max_levels(child) for name, child_max_level in child.max_levels.items(): max_level = node.max_levels.get(name, 0) node.max_levels[name] = max(max_level, child_max_level) elif isinstance(node, (LeafNode, AssociationNode)): for key in node.keys: node.max_levels[key.name] = node.level else: assert False resolve_max_levels(root) # Return return root, entries, associations ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/_bufr/BUFR_Snippets.md0000664000175000017500000002767515172126764025776 0ustar alastairalastair# BUFR Snippets This document seeks to compile a collection of code snippets demonstrating common (but also less common) BUFR-handling tasks, utilising both the low-level and the high-level interface. ## Reading from file ### The low-level way Read a single message: ```python bufr = codes_bufr_new_from_file(file) ``` Iterate over all messages in the file: ```python while bufr := codes_bufr_new_from_file(file): ... codes_release(bufr) ``` ### The high-level way Read a single message: ```python bufr = BUFRMessage(file) ``` Iterate over all messages in the file: ```python for bufr in FileReader(path, eccodes.CODES_PRODUCT_BUFR): ... ``` We can also use Python's `with` statement (aka context manager) to ensure that `BUFRMessage` resources are properly released after its use: ```python for bufr in FileReader(path, eccodes.CODES_PRODUCT_BUFR): with bufr: ... ``` ## Accessing items ### The low-level way Get value of a header key: ```python value = codes_get(bufr, 'numberOfSubsets') ``` Get value of a data key: ```python codes_set(bufr, 'unpack', 1) value = codes_get_array(bufr, 'latitude') ``` ### The high-level way Get value of a header key: ```python value = bufr['numberOfSubsets'] ``` Get value of a data key: ```python value = bufr['latitude'] ``` Note that we didn't need to do explicit unpacking in order to access data section keys. This was done for us automatically. However, had we had a needed for a more precise control over when and where the message gets unpacked, we could do that manually by calling the `unpack()` method: ```python bufr.unpack() # guaranteed to be in the unpacked state henceforth ``` After the first invocation, subsequent calls to `unpack()` will have no effect. ## Iterating over items ### The low-level way ```python codes_set(bufr, 'unpack', 1) it = codes_bufr_keys_iterator_new(bufr) while codes_bufr_keys_iterator_next(it): key = codes_bufr_keys_iterator_get_name(it) try: value = codes_get(bufr, key) except ArrayTooSmallError: value = codes_get_array(bufr, key) ... codes_bufr_keys_iterator_release(it) ``` ### The high-level way ```python for key, value in bufr.items(): ... ``` ## Iterating over data items only ### The low-level way ```python codes_set(bufr, 'unpack', 1) it = codes_bufr_keys_iterator_new(bufr) while codes_bufr_keys_iterator_next(it): key = codes_bufr_keys_iterator_get_name(it) if codes_bufr_key_is_header(bufr, key): continue try: value = codes_get(bufr, key) except ArrayTooSmallError: value = codes_get_array(bufr, key) ... codes_bufr_keys_iterator_release(it) ``` ### The high-level way ```python for key, value in bufr.data.items(): ... ``` ## Creating a new message from samples ### The low-level way Note that 'numberOfSubsets', 'compressedData' and 'input...ReplicationFactor' must be set _before_ the 'unexpandedDescriptor' key! ```python bufr = codes_bufr_new_from_samples('BUFR4_local') codes_set('masterTablesVersionNumber', 18) codes_set('numberOfSubsets', 5) codes_set('compressedData', 1) codes_set_array('inputShortDelayedDescriptorReplicationFactor', [1, 1, 1, 1, 1, 1]) codes_set_array('unexpandedDescriptors', [311010]) ``` ### The high-level way The same restrictions apply in the high-level case: ```python bufr = BUFRMessage('BUFR4_local') bufr['masterTablesVersionNumber'] = 18 bufr['numberOfSubsets'] = 5 bufr['compressedData'] = 1 bufr['inputShortDelayedDescriptorReplicationFactor'] = [1, 1, 1, 1, 1, 1] bufr['unexpandedDescriptors'] = [311010] ``` (In the future version of eccodes-python we are planning to relax some of these restrictions. Specifically, the need to set 'input...ReplicationFactor' upfront.) ## Creating a message copy with ECMWF's local section 2 ### The low-level way ```python old = codes_bufr_new_from_file(foreign_file) new = codes_bufr_new_from_samples('BUFR4_local_satellite') # Copy header keys (section 1 only) it = codes_bufr_keys_iterator_new(old) codes_skip_read_only(it) while codes_bufr_keys_iterator_next(it): key = codes_bufr_keys_iterator_get_name(it) if key == 'unexpandedDescriptors': break value = codes_get(old, key) codes_set(new, value) # Copy template-related keys codes_set(old, 'unpack', 1) value = codes_get_array(old, 'dataPresentIndicator') codes_set_array(new, 'inputDataPresentIndicator', value) value = codes_get_array(old, 'delayedDescriptorReplicationFactor') codes_set_array(new, 'inputDelayedDescriptorReplicationFactor', value) value = codes_get_array(old, 'unexpandedDescriptors') codes_set_array(new, 'unexpandedDescriptors', value) # Copy data keys codes_copy_data(old, new) # Set section 2 header keys ... value = codes_get_array(old, 'latitude')' codes_set(new, 'localLatitude1', min(value)) codes_set(new, 'localLatitude2', max(value)) ... codes_set(new, 'satelliteID', 123) ``` ### The high-level way ```python old = BUFRMessage(foreign_file) new = BUFRMessage('BUFR4_local_satellite') old.copy_to(new) new['satelliteID'] = 123 ``` Note that unlike in the low-level example, we don't need to set every section 2 key explicitly. The only exception is the 'satelliteID' (or, in the case of uncompressed messages, the 'ident' key). All other section 2 keys are set automatically on message packing. ## Iterating over subsets of uncompressed multi-subset messages ### The low-level way ```python subset_count = codes_get(bufr, 'numberOfSubsets') codes_set(bufr, 'unpack', 1) for n in range(1, subset_count + 1): print(f'Working on subset {n}') block_number = codes_get(bufr, f'/subsetNumber={n}/blockNumber') ... # BUT THIS IS CURRENTLY NOT ALLOWED!!! # pressure1 = codes_get(bufr, f'/subsetNumber={n}/#1#pressure') ... ``` ### The high-level way ```python for n, subset in enumerate(bufr.data, start=1): print(f'Working on subset {n}') block_number = subset['blockNumber'] ... pressure1 = subset['#1#pressure'] ... ``` ## Working with uncompressed multi-subset messages with nested replications The following is an example of a wind profiler BUFR message (see tests/sample-data/rwp\_jma.bufr). Each subset in this uncompressed BUFR message represents a unique station. Within each subset there is one static block at the top which contains some common metadata, followed by a doubly-nested delayed replication block with the actual profile data. The outer replication corresponds to profiles measured at different times, and the inner replication contains the individual level data for each of the profiles. The tricky part about this message is that the number of profiles and the number of levels varies across stations, which means we can't navigate the structure by doing a simple rank arithmetic. We have to employ more involved calculations in order to navigate the structure correctly. ### The low-level way ```python subset_count = codes_get(bufr, 'numberOfSubsets') codes_set(bufr, 'unpack', 1) for n in range(1, subset_count + 1): codes_set(bufr, 'extractSubset', n) codes_set(bufr, 'doExtractSubsets', 1) sbufr = codes_clone(bufr) codes_set(sbufr, 'unpack', 1) # Station info ... latitude = codes_get(sbufr, 'latitude') ... factors = codes_get_array(sbufr, 'delayedDescriptorReplicationFactor') station_counts = factors[0] level_counts = factors[1:] assert len(level_counts) == station_counts level_offsets = [0] + list(itertools.accumulate(level_counts[:-1])) us = codes_get_array(sbufr, 'u') vs = codes_get_array(sbufr, 'u') ... for prof, (off, len) in enumerate(zip(level_offsets, level_counts)): # Profile info ... hour = codes_get_array(sbufr, 'hour')[prof] ... # Profile data ... u = np.ma.masked_equal(us[off:off+len], CODES_MISSING_DOUBLE) v = np.ma.masked_equal(vs[off:off+len], CODES_MISSING_DOUBLE) ... codes_release(sbufr) ``` ### The high-level way With the high-level interface, navigating the hierarchical structure is much simpler: ```python for subset in bufr.data: station_info, station_profiles = subset # Station info ... latitude = station_info['latitude'] ... for (profile_info, profile_data) in station_profiles: # Profile info ... hour = profile_info['hour'] ... # Profile data ... u = profile_data['u'] ... ``` ## Extracting subsets by index ### The low-level way ```python codes_set(bufr, 'unpack', 1) codes_set(bufr, 'extractSubsetList', [2, 4, 8]) codes_set(bufr, 'doExtractSubsets', 1) new = codes_clone(bufr) ``` ### The high-level way ```python new = bufr.copy(subsets=[1, 3, 7]) ``` Note that unlike in the low-level example where we used 1-based subset numbers, here we use subset indices which are 0-based! ## Extracting subsets by range / slice ### The low-level way ```python codes_set(bufr, 'unpack', 1) codes_set(bufr, 'extractSubsetIntervalStart', 2) codes_set(bufr, 'extractSubsetIntervalEnd', 8) codes_set(bufr, 'doExtractSubsets', 1) new = codes_clone(bufr) ``` ### The high-level way ```python new = bufr.copy(subsets=range(1, 9)) ``` or ```python new = bufr.copy(subsets=slice(1, 9)) ``` Note that the bounds in the high-level example follow standard Python convention, whereas in the low-level example they are 1-based and inclusive! ## Extracting subsets by date & time ### The low-level way ```python codes_set(bufr, 'unpack', 1) start = datetime(2000, 2, 4, 8, 16) end = start + timedelta(seconds=32) for suffix, value in zip(('Start', 'End'), (start, end)): codes_set(bufr, 'extractDateTimeYear' + suffix, value.year) codes_set(bufr, 'extractDateTimeMonth' + suffix, value.month) codes_set(bufr, 'extractDateTimeDay' + suffix, value.day) codes_set(bufr, 'extractDateTimeHour' + suffix, value.hour) codes_set(bufr, 'extractDateTimeMinute' + suffix, value.minute) codes_set(bufr, 'extractDateTimeSecond' + suffix, value.second) codes_set(bufr, 'doExtractDateTime', 1) new = codes_clone(bufr) ``` ### The high-level way ```python start = datetime(2000, 2, 4, 8, 16) end = start + timedelta(seconds=32) new = bufr.copy(subsets=slice(start, end)) ``` Note that the bounds of datetime slices are inclusive on both sides! ## Extracting subsets within a lat-lon area ### The low-level way ```python codes_set(bufr, 'unpack', 1) codes_set(bufr, 'extractAreaNorthLatitude', 64.0) codes_set(bufr, 'extractAreaSouthLatitude', 32.0) codes_set(bufr, 'extractAreaEastLongitude', 16.0) codes_set(bufr, 'extractAreaWestLongitude', 8.0) codes_set(bufr, 'doExtractArea', 1) new = codes_clone(bufr) ``` ### The high-level way Unlike in the previous examples, there is no built-in option to extract subsets by area. However, we can pass an arbitrary boolean mask argument to the `copy()` method, which provides unlimited flexibility: ```python lat = bufr['latitude'] lon = bufr['longitude'] lat_mask = np.logical_and(lat <= 64.0, lat >= 32.0) lon_mask = np.logical_and(lon <= 16.0, lon >= 8.0) mask = np.logical_and(lat_mask, lon_mask) new = bufr.copy(subsets=mask) ``` ## Thinning subsets ### The low-level way ```python codes_set(bufr, 'unpack', 1) codes_set(bufr, 'simpleThinningSkip', 4) codes_set(bufr, 'doSimpleThinning', 1) new = codes_clone(bufr) ``` This will extract subset numbers 1, 6, 11, etc. ### The high-level way Although the high-level interface doesn't provide bespoke option for the thinning, we can achieve the same by using slices: ```python new = bufr.copy(subsets=slice(None, None, 5)) ``` Note that the slice step must be 1 larger than the thinning step to get the same result. ## Writing to file ### The low-level way ```python file = open('output.bufr', 'wb') codes_set(bufr, 'pack', 1) codes_write(bufr, file) ``` ### The high-level way ```python file = open('output.bufr', 'wb') bufr.write_to(file) ``` Notice that in contrast to the low-level example, we didn't need to pack the message explicitly before writing. This was done for us automatically. But, if needed, packing can also be triggered manually at any time by calling the `pack()` method. ecmwf-eccodes-python-b43a0f2/eccodes/highlevel/message.py0000664000175000017500000002045115172126764023713 0ustar alastairalastairimport io from contextlib import contextmanager import numpy as np import eccodes from ._bufr import BUFRMessage # noqa _TYPES_MAP = { "float": float, "int": int, "str": str, } @contextmanager def raise_keyerror(name): """Make operations on a key raise a KeyError if not found""" try: yield except (eccodes.KeyValueNotFoundError, eccodes.FunctionNotImplementedError): raise KeyError(name) class Message: def __init__(self, handle): self._handle = handle def __del__(self): try: eccodes.codes_release(self._handle) except Exception: pass def copy(self): """Create a copy of the current message""" return self.__class__(eccodes.codes_clone(self._handle)) def __copy__(self): return self.copy() def _get(self, name, ktype=None): name, sep, stype = name.partition(":") if sep and ktype is None: try: ktype = _TYPES_MAP[stype] except KeyError: raise ValueError(f"Unknown key type {stype!r}") with raise_keyerror(name): if eccodes.codes_is_missing(self._handle, name): raise KeyError(name) if eccodes.codes_get_size(self._handle, name) > 1: return eccodes.codes_get_array(self._handle, name, ktype=ktype) return eccodes.codes_get(self._handle, name, ktype=ktype) def get(self, name, default=None, ktype=None): """Get the value of a key Parameters ---------- name: str Name of the key. Can be suffixed with ":str", ":int", or ":float" to request a specific type. default: any, optional Value if the key is not Found, or ``None`` if not specified. ktype: type Request a specific type for the value. Overrides the suffix in ``name``""" try: return self._get(name, ktype=ktype) except KeyError: return default def set(self, *args, check_values: bool = True): """If two arguments are given, assumes this takes form of a single key value pair and sets the value of the given key. If a dictionary is passed in, then sets the values of all keys in the dictionary. Note, ordering of the keys is important. Finally, by default, checks if values have been set correctly Raises ------ TypeError If arguments do not take one of the two expected forms KeyError If the key does not exist ValueError If the set value of one of the keys is not the expected value """ if isinstance(args[0], str) and len(args) == 2: key_values = {args[0]: args[1]} elif isinstance(args[0], dict): key_values = args[0] else: raise TypeError( "Unsupported argument type. Expects two arguments consisting \ of key and value pair, or a dictionary of key-value pairs" ) for name, value in key_values.items(): with raise_keyerror(name): if np.ndim(value) > 0: eccodes.codes_set_array(self._handle, name, value) else: eccodes.codes_set(self._handle, name, value) if check_values: # Check values just set for name, value in key_values.items(): if type(value) in _TYPES_MAP.values(): saved_value = self.get(f"{name}:{type(value).__name__}") else: saved_value = self.get(name) if not np.all(saved_value == value): raise ValueError( f"Unexpected retrieved value {saved_value} for key {name}. Expected {value}" ) def get_array(self, name): """Get the value of the given key as an array Raises ------ KeyError If the key is not set """ with raise_keyerror(name): return eccodes.codes_get_array(self._handle, name) def get_size(self, name): """Get the size of the given key Raises ------ KeyError If the key is not set """ with raise_keyerror(name): return eccodes.codes_get_size(self._handle, name) def get_data_points(self): raise NotImplementedError def is_missing(self, name): """Check whether the key is set to a missing value Raises ------ KeyError If the key is not set """ with raise_keyerror(name): return bool(eccodes.codes_is_missing(self._handle, name)) def set_array(self, name, value): """Set the value of the given key Raises ------ KeyError If the key does not exist """ with raise_keyerror(name): return eccodes.codes_set_array(self._handle, name, value) def set_missing(self, name): """Set the given key as missing Raises ------ KeyError If the key does not exist """ with raise_keyerror(name): return eccodes.codes_set_missing(self._handle, name) def __getitem__(self, name): return self._get(name) def __setitem__(self, name, value): self.set(name, value) def __contains__(self, name): return bool(eccodes.codes_is_defined(self._handle, name)) class _KeyIterator: def __init__(self, message, namespace=None, iter_keys=True, iter_values=False): self._message = message self._iterator = eccodes.codes_keys_iterator_new(message._handle, namespace) self._iter_keys = iter_keys self._iter_values = iter_values def __del__(self): try: eccodes.codes_keys_iterator_delete(self._iterator) except Exception: pass def __iter__(self): return self def __next__(self): while True: if not eccodes.codes_keys_iterator_next(self._iterator): raise StopIteration if not self._iter_keys and not self._iter_values: return key = eccodes.codes_keys_iterator_get_name(self._iterator) if self._message.is_missing(key): continue if self._iter_keys and not self._iter_values: return key value = self._message.get(key) if self._iter_values else None if not self._iter_keys: return value return key, value def __iter__(self): return self._KeyIterator(self) def keys(self, namespace=None): """Iterate over all the available keys""" return self._KeyIterator(self, namespace, iter_keys=True, iter_values=False) def values(self, namespace=None): """Iterate over the values of all the available keys""" return self._KeyIterator(self, namespace, iter_keys=False, iter_values=True) def items(self, namespace=None): """Iterate over all the available key-value pairs""" return self._KeyIterator(self, namespace, iter_keys=True, iter_values=True) def dump(self): """Print out a textual representation of the message""" eccodes.codes_dump(self._handle) def write_to(self, fileobj): """Write the message to a file object""" assert isinstance(fileobj, io.IOBase) eccodes.codes_write(self._handle, fileobj) def get_buffer(self): """Return a buffer containing the encoded message""" return eccodes.codes_get_message(self._handle) class GRIBMessage(Message): def __init__(self, handle): super().__init__(handle) self._data = None @property def data(self): """Return the array of values""" if self._data is None: self._data = self._get("values") return self._data def get_data_points(self): """Get the list of ``(lat, lon, value)`` data points""" return eccodes.codes_grib_get_data(self._handle) @classmethod def from_samples(cls, name): """Create a message from a sample""" return cls(eccodes.codes_grib_new_from_samples(name)) ecmwf-eccodes-python-b43a0f2/eccodes/eccodes.py0000664000175000017500000003707115172126764021733 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # # from gribapi import ( CODES_FEATURES_ALL, CODES_FEATURES_DISABLED, CODES_FEATURES_ENABLED, CODES_PRODUCT_ANY, CODES_PRODUCT_BUFR, CODES_PRODUCT_GRIB, CODES_PRODUCT_GTS, CODES_PRODUCT_METAR, ) from gribapi import GRIB_CHECK as CODES_CHECK from gribapi import GRIB_MISSING_DOUBLE as CODES_MISSING_DOUBLE from gribapi import GRIB_MISSING_LONG as CODES_MISSING_LONG from gribapi import GRIB_NEAREST_SAME_DATA as CODES_GRIB_NEAREST_SAME_DATA from gribapi import GRIB_NEAREST_SAME_GRID as CODES_GRIB_NEAREST_SAME_GRID from gribapi import GRIB_NEAREST_SAME_POINT as CODES_GRIB_NEAREST_SAME_POINT from gribapi import ( __version__, ) from gribapi import any_new_from_file as codes_any_new_from_file from gribapi import ( bindings_version, ) from gribapi import bufr_new_from_file as codes_bufr_new_from_file from gribapi import ( codes_any_new_from_samples, codes_bufr_copy_data, codes_bufr_extract_headers, codes_bufr_key_is_coordinate, codes_bufr_key_is_header, codes_bufr_keys_iterator_delete, codes_bufr_keys_iterator_get_name, codes_bufr_keys_iterator_new, codes_bufr_keys_iterator_next, codes_bufr_keys_iterator_rewind, codes_bufr_multi_element_constant_arrays_off, codes_bufr_multi_element_constant_arrays_on, codes_bufr_new_from_samples, codes_definition_path, codes_dump, codes_extract_offsets, codes_extract_offsets_sizes, codes_get_features, codes_get_gaussian_latitudes, codes_get_library_path, codes_get_version_info, codes_new_from_file, codes_new_from_samples, codes_samples_path, ) from gribapi import grib_clone as codes_clone from gribapi import grib_context_delete as codes_context_delete from gribapi import grib_context_set_logging as codes_context_set_logging from gribapi import grib_copy_namespace as codes_copy_namespace from gribapi import grib_count_in_file as codes_count_in_file from gribapi import grib_find_nearest as codes_grib_find_nearest from gribapi import grib_find_nearest_multiple as codes_grib_find_nearest_multiple from gribapi import grib_get as codes_get from gribapi import grib_get_api_version as codes_get_api_version from gribapi import grib_get_array as codes_get_array from gribapi import grib_get_data as codes_grib_get_data from gribapi import grib_get_double as codes_get_double from gribapi import grib_get_double_array as codes_get_double_array from gribapi import grib_get_double_element as codes_get_double_element from gribapi import grib_get_double_elements as codes_get_double_elements from gribapi import grib_get_elements as codes_get_elements from gribapi import grib_get_float_array as codes_get_float_array from gribapi import grib_get_long as codes_get_long from gribapi import grib_get_long_array as codes_get_long_array from gribapi import grib_get_message as codes_get_message from gribapi import grib_get_message_offset as codes_get_message_offset from gribapi import grib_get_message_size as codes_get_message_size from gribapi import grib_get_native_type as codes_get_native_type from gribapi import grib_get_offset as codes_get_offset from gribapi import grib_get_size as codes_get_size from gribapi import grib_get_string as codes_get_string from gribapi import grib_get_string_array as codes_get_string_array from gribapi import grib_get_string_length as codes_get_string_length from gribapi import grib_get_values as codes_get_values from gribapi import grib_gribex_mode_off as codes_gribex_mode_off from gribapi import grib_gribex_mode_on as codes_gribex_mode_on from gribapi import grib_gts_header as codes_gts_header from gribapi import grib_index_add_file as codes_index_add_file from gribapi import grib_index_get as codes_index_get from gribapi import grib_index_get_double as codes_index_get_double from gribapi import grib_index_get_long as codes_index_get_long from gribapi import grib_index_get_size as codes_index_get_size from gribapi import grib_index_get_string as codes_index_get_string from gribapi import grib_index_new_from_file as codes_index_new_from_file from gribapi import grib_index_read as codes_index_read from gribapi import grib_index_release as codes_index_release from gribapi import grib_index_select as codes_index_select from gribapi import grib_index_select_double as codes_index_select_double from gribapi import grib_index_select_long as codes_index_select_long from gribapi import grib_index_select_string as codes_index_select_string from gribapi import grib_index_write as codes_index_write from gribapi import grib_is_defined as codes_is_defined from gribapi import grib_is_missing as codes_is_missing from gribapi import grib_iterator_delete as codes_grib_iterator_delete from gribapi import grib_iterator_new as codes_grib_iterator_new from gribapi import grib_iterator_next as codes_grib_iterator_next from gribapi import grib_keys_iterator_delete as codes_keys_iterator_delete from gribapi import grib_keys_iterator_get_name as codes_keys_iterator_get_name from gribapi import grib_keys_iterator_new as codes_keys_iterator_new from gribapi import grib_keys_iterator_next as codes_keys_iterator_next from gribapi import grib_keys_iterator_rewind as codes_keys_iterator_rewind from gribapi import grib_multi_append as codes_grib_multi_append from gribapi import grib_multi_new as codes_grib_multi_new from gribapi import grib_multi_release as codes_grib_multi_release from gribapi import grib_multi_support_off as codes_grib_multi_support_off from gribapi import grib_multi_support_on as codes_grib_multi_support_on from gribapi import grib_multi_support_reset_file as codes_grib_multi_support_reset_file from gribapi import grib_multi_write as codes_grib_multi_write from gribapi import grib_nearest_delete as codes_grib_nearest_delete from gribapi import grib_nearest_find as codes_grib_nearest_find from gribapi import grib_nearest_new as codes_grib_nearest_new from gribapi import grib_new_from_file as codes_grib_new_from_file from gribapi import grib_new_from_index as codes_new_from_index from gribapi import grib_new_from_message as codes_new_from_message from gribapi import grib_new_from_samples as codes_grib_new_from_samples from gribapi import grib_no_fail_on_wrong_length as codes_no_fail_on_wrong_length from gribapi import grib_release as codes_release from gribapi import grib_set as codes_set from gribapi import grib_set_array as codes_set_array from gribapi import grib_set_data_quality_checks as codes_set_data_quality_checks from gribapi import grib_set_debug as codes_set_debug from gribapi import grib_set_definitions_path as codes_set_definitions_path from gribapi import grib_set_double as codes_set_double from gribapi import grib_set_double_array as codes_set_double_array from gribapi import grib_set_key_vals as codes_set_key_vals from gribapi import grib_set_long as codes_set_long from gribapi import grib_set_long_array as codes_set_long_array from gribapi import grib_set_missing as codes_set_missing from gribapi import grib_set_samples_path as codes_set_samples_path from gribapi import grib_set_string as codes_set_string from gribapi import grib_set_string_array as codes_set_string_array from gribapi import grib_set_values as codes_set_values from gribapi import grib_skip_coded as codes_skip_coded from gribapi import grib_skip_computed as codes_skip_computed from gribapi import grib_skip_duplicates as codes_skip_duplicates from gribapi import grib_skip_edition_specific as codes_skip_edition_specific from gribapi import grib_skip_function as codes_skip_function from gribapi import grib_skip_read_only as codes_skip_read_only from gribapi import grib_write as codes_write from gribapi import gts_new_from_file as codes_gts_new_from_file from gribapi import metar_new_from_file as codes_metar_new_from_file from gribapi.errors import ( ArrayTooSmallError, AttributeClashError, AttributeNotFoundError, BufferTooSmallError, CodeNotFoundInTableError, ConceptNoMatchError, ConstantFieldError, CorruptedIndexError, DecodingError, DifferentEditionError, EncodingError, EndError, EndOfFileError, EndOfIndexError, FileNotFoundError, FunctionalityNotEnabledError, FunctionNotImplementedError, GeocalculusError, ) from gribapi.errors import GribInternalError from gribapi.errors import GribInternalError as CodesInternalError from gribapi.errors import ( HashArrayNoMatchError, InternalArrayTooSmallError, InternalError, InvalidArgumentError, InvalidBitsPerValueError, InvalidFileError, InvalidGribError, InvalidIndexError, InvalidIteratorError, InvalidKeysIteratorError, InvalidKeyValueError, InvalidNearestError, InvalidOrderByError, InvalidSectionNumberError, InvalidTypeError, IOProblemError, KeyValueNotFoundError, MemoryAllocationError, MessageEndNotFoundError, MessageInvalidError, MessageMalformedError, MessageTooLargeError, MissingBufrEntryError, MissingKeyError, NoDefinitionsError, NoMoreInSetError, NoValuesError, NullHandleError, NullIndexError, NullPointerError, OutOfAreaError, OutOfRangeError, PrematureEndOfFileError, ReadOnlyError, RuntimeError, StringTooSmallError, SwitchNoMatchError, TooManyAttributesError, UnderflowError, UnsupportedEditionError, ValueCannotBeMissingError, ValueDifferentError, WrongArraySizeError, WrongBitmapSizeError, WrongConversionError, WrongGridError, WrongLengthError, WrongStepError, WrongStepUnitError, WrongTypeError, ) __all__ = [ "__version__", "ArrayTooSmallError", "AttributeClashError", "AttributeNotFoundError", "bindings_version", "BufferTooSmallError", "CodeNotFoundInTableError", "codes_any_new_from_file", "codes_bufr_copy_data", "codes_bufr_extract_headers", "codes_bufr_key_is_header", "codes_bufr_key_is_coordinate", "codes_bufr_keys_iterator_delete", "codes_bufr_keys_iterator_get_name", "codes_bufr_keys_iterator_new", "codes_bufr_keys_iterator_next", "codes_bufr_keys_iterator_rewind", "codes_bufr_multi_element_constant_arrays_off", "codes_bufr_multi_element_constant_arrays_on", "codes_bufr_new_from_file", "codes_bufr_new_from_samples", "codes_any_new_from_samples", "CODES_CHECK", "codes_clone", "codes_copy_namespace", "codes_count_in_file", "codes_definition_path", "codes_extract_offsets", "codes_extract_offsets_sizes", "CODES_FEATURES_ALL", "CODES_FEATURES_ENABLED", "CODES_FEATURES_DISABLED", "codes_get_api_version", "codes_get_array", "codes_get_double_array", "codes_get_double_element", "codes_get_double_elements", "codes_get_double", "codes_get_elements", "codes_get_float_array", "codes_get_gaussian_latitudes", "codes_get_library_path", "codes_get_long_array", "codes_get_long", "codes_get_message_offset", "codes_get_message_size", "codes_get_message", "codes_get_native_type", "codes_get_offset", "codes_get_size", "codes_get_string_array", "codes_get_string_length", "codes_get_string", "codes_get_values", "codes_get_version_info", "codes_get", "codes_get_features", "codes_grib_find_nearest_multiple", "codes_grib_find_nearest", "codes_grib_get_data", "codes_grib_iterator_delete", "codes_grib_iterator_new", "codes_grib_iterator_next", "codes_grib_multi_append", "codes_grib_multi_new", "codes_grib_multi_release", "codes_grib_multi_support_off", "codes_grib_multi_support_on", "codes_grib_multi_support_reset_file", "codes_grib_multi_write", "codes_grib_nearest_delete", "codes_grib_nearest_find", "codes_grib_nearest_new", "CODES_GRIB_NEAREST_SAME_DATA", "CODES_GRIB_NEAREST_SAME_GRID", "CODES_GRIB_NEAREST_SAME_POINT", "codes_grib_new_from_file", "codes_grib_new_from_samples", "codes_gribex_mode_off", "codes_gribex_mode_on", "codes_gts_header", "codes_gts_new_from_file", "codes_index_add_file", "codes_index_get_double", "codes_index_get_long", "codes_index_get_size", "codes_index_get_string", "codes_index_get", "codes_index_new_from_file", "codes_index_read", "codes_index_release", "codes_index_select_double", "codes_index_select_long", "codes_index_select_string", "codes_index_select", "codes_index_write", "codes_is_defined", "codes_is_missing", "codes_keys_iterator_delete", "codes_keys_iterator_get_name", "codes_keys_iterator_new", "codes_keys_iterator_next", "codes_keys_iterator_rewind", "codes_metar_new_from_file", "CODES_MISSING_DOUBLE", "CODES_MISSING_LONG", "codes_new_from_file", "codes_new_from_index", "codes_new_from_message", "codes_new_from_samples", "codes_no_fail_on_wrong_length", "CODES_PRODUCT_ANY", "CODES_PRODUCT_BUFR", "CODES_PRODUCT_GRIB", "CODES_PRODUCT_GTS", "CODES_PRODUCT_METAR", "codes_release", "codes_samples_path", "codes_dump", "codes_set_array", "codes_set_data_quality_checks", "codes_set_debug", "codes_set_definitions_path", "codes_set_double_array", "codes_set_double", "codes_set_key_vals", "codes_set_long_array", "codes_set_long", "codes_set_missing", "codes_set_samples_path", "codes_set_string_array", "codes_set_string", "codes_set_values", "codes_set", "codes_skip_coded", "codes_skip_computed", "codes_skip_duplicates", "codes_skip_edition_specific", "codes_skip_function", "codes_skip_read_only", "codes_write", "codes_context_delete", "codes_context_set_logging", "CodesInternalError", "ConceptNoMatchError", "ConstantFieldError", "CorruptedIndexError", "DecodingError", "DifferentEditionError", "EncodingError", "EndError", "EndOfFileError", "EndOfIndexError", "FileNotFoundError", "FunctionalityNotEnabledError", "FunctionNotImplementedError", "GeocalculusError", "GribInternalError", "HashArrayNoMatchError", "InternalArrayTooSmallError", "InternalError", "InvalidArgumentError", "InvalidBitsPerValueError", "InvalidFileError", "InvalidGribError", "InvalidIndexError", "InvalidIteratorError", "InvalidKeysIteratorError", "InvalidKeyValueError", "InvalidNearestError", "InvalidOrderByError", "InvalidSectionNumberError", "InvalidTypeError", "IOProblemError", "KeyValueNotFoundError", "MemoryAllocationError", "MessageEndNotFoundError", "MessageInvalidError", "MessageMalformedError", "MessageTooLargeError", "MissingBufrEntryError", "MissingKeyError", "NoDefinitionsError", "NoMoreInSetError", "NoValuesError", "NullHandleError", "NullIndexError", "NullPointerError", "OutOfAreaError", "OutOfRangeError", "PrematureEndOfFileError", "ReadOnlyError", "RuntimeError", "StringTooSmallError", "SwitchNoMatchError", "TooManyAttributesError", "UnderflowError", "UnsupportedEditionError", "ValueCannotBeMissingError", "ValueDifferentError", "WrongArraySizeError", "WrongBitmapSizeError", "WrongConversionError", "WrongGridError", "WrongLengthError", "WrongStepError", "WrongStepUnitError", "WrongTypeError", ] ecmwf-eccodes-python-b43a0f2/eccodes/__main__.py0000664000175000017500000000221215172126764022033 0ustar alastairalastair# # (C) Copyright 2017- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # import argparse from . import ( codes_definition_path, codes_get_api_version, codes_get_library_path, codes_samples_path, ) def selfcheck(): print("Found: ecCodes v%s." % codes_get_api_version()) print("Library:", codes_get_library_path()) print("Definitions:", codes_definition_path()) print("Samples:", codes_samples_path()) print("Your system is ready.") def main(argv=None): parser = argparse.ArgumentParser() parser.add_argument("command") args = parser.parse_args(args=argv) if args.command == "selfcheck": selfcheck() else: raise RuntimeError( "Command not recognised %r. See usage with --help." % args.command ) if __name__ == "__main__": # pragma: no cover main() ecmwf-eccodes-python-b43a0f2/eccodes/_eccodes.cc0000664000175000017500000000207615172126764022024 0ustar alastairalastair/* * (C) Copyright 2024- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities granted to it by * virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction. */ #include #include #include static PyObject *versions(PyObject *self, PyObject *args) { long s = grib_get_api_version(); // Force linking return Py_BuildValue("{s:s}", "eccodes", ECCODES_VERSION_STR); } static PyMethodDef eccodes_methods[] = { { "versions", versions, METH_NOARGS, "Versions", }, { 0, }}; static struct PyModuleDef eccodes_definition = { PyModuleDef_HEAD_INIT, "eccodes", "Load ecCodes library.", -1, eccodes_methods}; PyMODINIT_FUNC PyInit__eccodes(void) { Py_Initialize(); return PyModule_Create(&eccodes_definition); } ecmwf-eccodes-python-b43a0f2/eccodes/.gitignore0000664000175000017500000000001515172126764021730 0ustar alastairalastair*.txt *.json ecmwf-eccodes-python-b43a0f2/Dockerfile0000664000175000017500000000106715172126764020335 0ustar alastairalastair# Run tests in a more reproducible and isolated environment. # # Build the docker image once with: # docker build -t eccodes . # Run the container with: # docker run --rm -it -v `pwd`:/src eccodes-python # FROM bopen/ubuntu-pyenv:latest ARG DEBIAN_FRONTEND="noninteractive" RUN apt-get -y update && apt-get install -y --no-install-recommends \ libeccodes0 \ && rm -rf /var/lib/apt/lists/* COPY . /src/ RUN cd /src \ && make local-install-test-req \ && make local-develop \ && make local-install-dev-req \ && make distclean WORKDIR /src ecmwf-eccodes-python-b43a0f2/docs/0000775000175000017500000000000015172126764017267 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/docs/conf.py0000664000175000017500000001244415172126764020573 0ustar alastairalastair#!/usr/bin/env python # -*- coding: utf-8 -*- import os import sys import pkg_resources # Get the project root dir, which is the parent dir of this cwd = os.getcwd() project_root = os.path.dirname(cwd) # Insert the project root dir as the first element in the PYTHONPATH. # This lets us ensure that the source package is imported, and that its # version is used. sys.path.insert(0, project_root) # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode"] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix of source filenames. source_suffix = ".rst" # The encoding of source files. # source_encoding = 'utf-8-sig' # The master toctree document. master_doc = "index" # General information about the project. project = "eccodes-python" copyright = "2017-, European Centre for Medium-Range Weather Forecasts (ECMWF)." # The version info for the project you're documenting, acts as replacement # for |version| and |release|, also used in various other places throughout # the built documents. # # The full version, including alpha/beta/rc tags. release = pkg_resources.get_distribution("eccodes").version # The short X.Y version. version = ".".join(release.split(".")[:2]) # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # language = None # There are two options for replacing |today|: either, you set today to # some non-false value, then it is used: # today = '' # Else, today_fmt is used as the format for a strftime call. # today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ["_build"] # The reST default role (used for this markup: `text`) to use for all # documents. # default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. # add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). # add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. # show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = "sphinx" # A list of ignored prefixes for module index sorting. # modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built # documents. # keep_warnings = False # -- Options for HTML output ------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = "default" # Theme options are theme-specific and customize the look and feel of a # theme further. For a list of options available for each theme, see the # documentation. # html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. # html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". # html_title = None # A shorter title for the navigation bar. Default is the same as # html_title. # html_short_title = None # The name of an image file (relative to this directory) to place at the # top of the sidebar. # html_logo = None # The name of an image file (within the static path) to use as favicon # of the docs. This file should be a Windows icon file (.ico) being # 16x16 or 32x32 pixels large. # html_favicon = None # Add any paths that contain custom static files (such as style sheets) # here, relative to this directory. They are copied after the builtin # static files, so a file named "default.css" will overwrite the builtin # "default.css". html_static_path = ["_static"] # If not '', a 'Last updated on:' timestamp is inserted at every page # bottom, using the given strftime format. # html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. # html_use_smartypants = True # Custom sidebar templates, maps document names to template names. # html_sidebars = {} # Additional templates that should be rendered to pages, maps page names # to template names. # html_additional_pages = {} # If false, no module index is generated. # html_domain_indices = True # If false, no index is generated. # html_use_index = True # If true, the index is split into individual pages for each letter. # html_split_index = False # If true, links to the reST sources are added to the pages. # html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. # Default is True. # html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. # Default is True. # html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages # will contain a tag referring to it. The value of this option # must be the base URL from which the finished HTML is served. # html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). # html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = "cfgribdoc" ecmwf-eccodes-python-b43a0f2/docs/_static/0000775000175000017500000000000015172126764020715 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/docs/_static/.gitkeep0000664000175000017500000000000015172126764022334 0ustar alastairalastairecmwf-eccodes-python-b43a0f2/docs/index.rst0000664000175000017500000000151115172126764021126 0ustar alastairalastair ======= CF-GRIB ======= :Version: |release| :Date: |today| Python 3 interface to encode and decode GRIB and BUFR files via the `ECMWF ecCodes library `_. Features: - reads and writes GRIB 1 and 2 files, - reads and writes BUFR 3 and 4 files, - supports all modern versions of Python and PyPy3, - works on most *Linux* distributions and *MacOS*, the *ecCodes* C-library is the only system dependency, - PyPI package can be installed without compiling, at the cost of being twice as slow as the original *ecCodes* module, - an optional compile step makes the code as fast as the original module but it needs the recommended (the most up-to-date) version of *ecCodes*. Limitations: - Microsoft Windows support is untested. .. toctree:: :maxdepth: 2 :caption: Table of Contents ecmwf-eccodes-python-b43a0f2/.gitignore0000664000175000017500000000163515172126764020334 0ustar alastairalastair# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # Static typed files .pytype # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ dist_venv*/ downloads/ eggs/ .eggs/ gribapi/binary-versions.txt install/ lib/ lib64/ libs parts/ sdist/ var/ versions wheels/ wheelhouse/ *.egg-info/ .installed.cfg *.egg MANIFEST build-binaries/ # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover .hypothesis/ .pytest_cache/ # Sphinx documentation docs/_build/ # Jupyter Notebook .ipynb_checkpoints # pyenv .python-version # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ # local ignores .docker-tox/ *.idx ecmwf-eccodes-python-b43a0f2/LICENSE0000664000175000017500000002611015172126764017344 0ustar alastairalastair Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2017- ECMWF Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ecmwf-eccodes-python-b43a0f2/pytest.ini0000664000175000017500000000017315172126764020371 0ustar alastairalastair[pytest] ; addopts=-s --cov climetlab --verbose --cov-report xml --cov-report html ; addopts=--no-cov addopts=-s --verbose ecmwf-eccodes-python-b43a0f2/ci/0000775000175000017500000000000015172126764016732 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/ci/requirements-tests.in0000664000175000017500000000011015172126764023135 0ustar alastairalastairpytest pytest-cov pytest-flakes pytest-mccabe pytest-pep8 pytest-runner ecmwf-eccodes-python-b43a0f2/ci/requirements-tests.txt0000664000175000017500000000206415172126764023360 0ustar alastairalastair# # This file is autogenerated by pip-compile # To update, run: # # pip-compile --output-file ci/requirements-tests.txt setup.py ci/requirements-tests.in # apipkg==1.5 # via execnet atomicwrites==1.3.0 # via pytest attrs==19.1.0 # via pytest coverage==4.5.3 # via pytest-cov execnet==1.5.0 # via pytest-cache mccabe==0.6.1 # via pytest-mccabe more-itertools==5.0.0 # via pytest pep8==1.7.1 # via pytest-pep8 pluggy==0.9.0 # via pytest pyflakes==2.1.1 # via pytest-flakes pytest==4.3.1 # via # -r requirements-tests.in # pytest-cache # pytest-cov # pytest-flakes # pytest-mccabe # pytest-pep8 pytest-cache==1.0 # via # pytest-mccabe # pytest-pep8 pytest-cov==2.6.1 # via -r requirements-tests.in pytest-flakes==4.0.0 # via -r requirements-tests.in pytest-mccabe==0.1 # via -r requirements-tests.in pytest-pep8==1.0.6 # via -r requirements-tests.in pytest-runner==4.4 # via -r requirements-tests.in six==1.12.0 # via # more-itertools # pytest ecmwf-eccodes-python-b43a0f2/ci/requirements-dev.txt0000664000175000017500000000020215172126764022764 0ustar alastairalastaircheck-manifest detox IPython matplotlib notebook pip-tools pyroma pytest-mypy setuptools tox tox-pyenv wheel zest.releaser black ecmwf-eccodes-python-b43a0f2/ci/requirements-docs.in0000664000175000017500000000002615172126764022731 0ustar alastairalastairSphinx pytest-runner ecmwf-eccodes-python-b43a0f2/ci/requirements-docs.txt0000664000175000017500000000161715172126764023151 0ustar alastairalastair# # This file is autogenerated by pip-compile # To update, run: # # pip-compile --output-file ci/requirements-docs.txt setup.py ci/requirements-docs.in # alabaster==0.7.12 # via sphinx babel==2.9.1 # via sphinx certifi==2024.7.4 # via requests charset-normalizer==3.3.2 # via requests docutils==0.14 # via sphinx idna==3.7 # via requests imagesize==1.1.0 # via sphinx jinja2==3.1.6 # via sphinx markupsafe==2.1.5 # via jinja2 packaging==19.0 # via sphinx pygments==2.20.0 # via sphinx pyparsing==2.3.1 # via packaging pytest-runner==4.4 # via -r requirements-docs.in pytz==2018.9 # via babel requests==2.33.0 # via sphinx six==1.12.0 # via # packaging # sphinx snowballstemmer==1.2.1 # via sphinx sphinx==1.8.5 # via -r requirements-docs.in sphinxcontrib-websupport==1.1.0 # via sphinx urllib3==2.6.3 # via requests ecmwf-eccodes-python-b43a0f2/CONTRIBUTING.rst0000664000175000017500000001107415172126764021003 0ustar alastairalastair .. highlight: console ============ Contributing ============ Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given. Please note, that we have hooked a CLA assistant to this GitHub Repo. Please accept the contributors license agreement to allow us to keep a legal track of contributions and keep this package open source for the future. You can contribute in many ways: Types of Contributions ---------------------- Report Bugs ~~~~~~~~~~~ Report bugs at https://github.com/ecmwf/eccodes-python/issues If you are reporting a bug, please include: * Your operating system name and version. * Installation method and version of all dependencies. * Any details about your local setup that might be helpful in troubleshooting. * Detailed steps to reproduce the bug, including a sample file. Fix Bugs ~~~~~~~~ Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement a fix for it. Implement Features ~~~~~~~~~~~~~~~~~~ Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it. Get Started! ------------ Ready to contribute? Here's how to set up `eccodes-python` for local development. Please note this documentation assumes you already have `virtualenv` and `Git` installed and ready to go. 1. Fork the `eccodes-python` repo on GitHub. 2. Clone your fork locally:: $ cd path_for_the_repo $ git clone https://github.com/YOUR_NAME/eccodes-python.git $ cd eccodes-python 3. Assuming you have virtualenv installed (If you have Python3.5 this should already be there), you can create a new environment for your local development by typing:: $ virtualenv ../eccodes-python-env $ source ../eccodes-python-env/bin/activate This should change the shell to look something like (eccodes-python-env) $ 4. Install system dependencies as described in the README.rst file then install a known-good set of python dependencies and the your local copy with:: $ pip install -r ci/requirements-tests.txt $ pip install -e . 5. Create a branch for local development:: $ git checkout -b name-of-your-bugfix-or-feature Now you can make your changes locally. 6. The next step would be to run the test cases. `eccodes-python` uses py.test, you can run PyTest. Before you run pytest you should ensure all dependencies are installed:: $ pip install -r ci/requirements-dev.txt $ pytest -v --flakes 7. Before raising a pull request you should also run tox. This will run the tests across different versions of Python:: $ tox 8. If your contribution is a bug fix or new feature, you should add a test to the existing test suite. 9. Format your Python code with the Black auto-formatter, to ensure the code is uses the library's style. We use the default Black configuration (88 lines per character and `"` instead of `'` for string encapsulation):: $ black . 10. Commit your changes and push your branch to GitHub:: $ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature 11. Submit a pull request through the GitHub website. Pull Request Guidelines ----------------------- Before you submit a pull request, check that it meets these guidelines: 1. The pull request should include tests. 2. If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst. 3. The pull request should work for Python 3.9, 3.10, 3.11, 3.12, 3.13, 3.14 and for PyPy2 and PyPy3. Check the tox results and make sure that the tests pass for all supported Python versions. Testing CDS data ---------------- You can test the CF-GRIB driver on a set of products downloaded from the Climate Data Store of the `Copernicus Climate Change Service `_. If you are not register to the CDS portal register at: https://cds.climate.copernicus.eu/user/register In order to automatically download and test the GRIB files install and configure the `cdsapi` package:: $ pip install cdsapi $ pip install netcdf4 The log into the CDS portal and setup the CDS API key as described in: https://cds.climate.copernicus.eu/api-how-to Then you can run:: $ pytest -vv tests/cds_test_*.py .. eccodes-python: https://github.com/ecmwf/eccodes-python .. virtualenv: https://virtualenv.pypa.io/en/stable/installation .. git: https://git-scm.com/book/en/v2/Getting-Started-Installing-Git ecmwf-eccodes-python-b43a0f2/MANIFEST.in0000664000175000017500000000114515172126764020076 0ustar alastairalastairinclude .dockerignore include *.rst recursive-include eccodes *.md include *.yml include Dockerfile include LICENSE include Makefile include tox.ini include *.py recursive-include ci *.in recursive-include ci *.txt recursive-include ci *.yml recursive-include ci *.ps1 recursive-include docs *.gitkeep recursive-include docs *.py recursive-include docs *.rst recursive-include gribapi *.h recursive-include tests *.grib2 recursive-include tests *.grib recursive-include tests *.bufr recursive-include tests *.items recursive-include tests *.attributes recursive-include tests *.ipynb recursive-include tests *.py ecmwf-eccodes-python-b43a0f2/.github/0000775000175000017500000000000015172126764017677 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/.github/workflows/0000775000175000017500000000000015172126764021734 5ustar alastairalastairecmwf-eccodes-python-b43a0f2/.github/workflows/check-and-publish.yml0000664000175000017500000000503215172126764025740 0ustar alastairalastairname: Check and publish on: push: branches: [master, develop] pull_request: branches: [master, develop] release: types: [created] jobs: quality: name: Code QA runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - run: pip install black flake8 isort - run: black --version - run: isort --check . - run: black --check --diff -v . - run: flake8 . checks: strategy: fail-fast: false matrix: platform: [ubuntu-latest, macos-latest, windows-latest] python-version: ['3.9', '3.10', '3.11', '3.12'] method: ['conda', 'ecmwflibs'] exclude: - platform: macos-latest python-version: '3.9' method: 'ecmwflibs' name: Python ${{ matrix.python-version }} on ${{ matrix.platform }} (${{ matrix.method }}) runs-on: ${{ matrix.platform }} needs: quality defaults: run: shell: bash steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - if: matrix.method == 'conda' name: Setup conda uses: s-weigand/setup-conda@v1 with: update-conda: true python-version: ${{ matrix.python-version }} conda-channels: anaconda, conda-forge - name: Install tools run: | python -m pip install --upgrade pip pip install pytest pytest-cov isort black flake8 pip install --upgrade setuptools wheel - if: matrix.method == 'conda' run: conda install 'eccodes>=2.27.0' - if: matrix.method == 'ecmwflibs' name: Install ecmwflibs run: pip install ecmwflibs - run: python setup.py develop - run: pip install -r tests/requirements.txt - run: pip freeze - run: env | sort - run: ECCODES_PYTHON_USE_FINDLIBS=1 python -m eccodes selfcheck - run: pytest if: matrix.method == 'conda' && matrix.platform == 'windows-latest' env: ECCODES_DEFINITION_PATH: 'C:/Miniconda/Library/share/eccodes/definitions' ECCODES_SAMPLES_PATH: 'C:/Miniconda/Library/share/eccodes/samples' ECCODES_PYTHON_USE_FINDLIBS: '1' - run: pytest if: matrix.method != 'conda' || matrix.platform != 'windows-latest' env: ECCODES_PYTHON_USE_FINDLIBS: '1' # pytest -v --cov=. --cov-report=xml --cov-branch . - name: Upload coverage to Codecov uses: codecov/codecov-action@v1 if: 'false' ecmwf-eccodes-python-b43a0f2/.github/workflows/build-wheel-windows.yml0000664000175000017500000001303515172126764026352 0ustar alastairalastair# (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. name: Build Windows on: # Trigger the workflow manually workflow_dispatch: ~ # Allow to be called from another workflow workflow_call: ~ push: tags-ignore: - '**' paths: - 'scripts/common.sh' - 'scripts/wheel-windows.sh' - 'scripts/build-windows.sh' - 'scripts/copy-dlls.py' - 'scripts/copy-licences.py' - '.github/workflows/build-wheel-windows.yml' jobs: build: # if: false # for temporarily disabling for debugging runs-on: windows-latest strategy: fail-fast: false matrix: architecture: ["x64"] defaults: run: shell: bash name: Build on ${{ matrix.architecture }} env: WINARCH: ${{ matrix.architecture }} steps: - uses: actions/checkout@v2 - uses: seanmiddleditch/gha-setup-vsdevenv@master with: arch: ${{ matrix.architecture }} - name: Set up Python uses: actions/setup-python@v4 with: python-version: 3.9 architecture: ${{ matrix.architecture }} - run: ./scripts/build-windows.sh env: WINARCH: ${{ matrix.architecture }} ################################################################ - name: Set up Python 3.9 uses: actions/setup-python@v4 with: python-version: 3.9 architecture: ${{ matrix.architecture }} - run: ./scripts/wheel-windows.sh 3.9 - uses: actions/upload-artifact@v4 name: Upload wheel 3.9 with: name: wheel-windows-3.9-${{ matrix.architecture }} path: wheelhouse/*.whl ################################################################ - name: Set up Python 3.10 uses: actions/setup-python@v4 with: python-version: "3.10" architecture: ${{ matrix.architecture }} - run: ./scripts/wheel-windows.sh "3.10" - uses: actions/upload-artifact@v4 name: Upload wheel 3.10 with: name: wheel-windows-3.10-${{ matrix.architecture }} path: wheelhouse/*.whl ################################################################ - name: Set up Python 3.11 uses: actions/setup-python@v4 with: python-version: "3.11" architecture: ${{ matrix.architecture }} - run: ./scripts/wheel-windows.sh "3.11" - uses: actions/upload-artifact@v4 name: Upload wheel 3.11 with: name: wheel-windows-3.11-${{ matrix.architecture }} path: wheelhouse/*.whl ################################################################ - name: Set up Python 3.12 uses: actions/setup-python@v4 with: python-version: "3.12" architecture: ${{ matrix.architecture }} - run: ./scripts/wheel-windows.sh "3.12" - uses: actions/upload-artifact@v4 name: Upload wheel 3.12 with: name: wheel-windows-3.12-${{ matrix.architecture }} path: wheelhouse/*.whl ################################################################ - name: Set up Python 3.13 uses: actions/setup-python@v4 with: python-version: "3.13" architecture: ${{ matrix.architecture }} - run: ./scripts/wheel-windows.sh "3.13" - uses: actions/upload-artifact@v4 name: Upload wheel 3.13 with: name: wheel-windows-3.13-${{ matrix.architecture }} path: wheelhouse/*.whl ################################################################ test: needs: build runs-on: windows-latest strategy: fail-fast: true matrix: python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] architecture: ["x64"] defaults: run: shell: bash name: Test with Python ${{ matrix.python-version }} ${{ matrix.architecture }} steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} architecture: ${{ matrix.architecture }} - uses: actions/download-artifact@v4 with: name: wheel-windows-${{ matrix.python-version }}-${{ matrix.architecture }} - run: pip install *.whl - run: pip install -r tests/requirements.txt - run: pip freeze - run: ECCODES_PYTHON_TRACE_LIB_SEARCH=1 pytest --verbose -s working-directory: tests timeout-minutes: 2 deploy: if: ${{ github.ref_type == 'tag' || github.event_name == 'release' }} needs: [test, build] name: Deploy wheel ${{ matrix.python-version }} ${{ matrix.architecture }} runs-on: ubuntu-latest strategy: fail-fast: true matrix: python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] architecture: ["x64"] steps: - name: Set up Python uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - run: pip install twine - uses: actions/download-artifact@v4 with: name: wheel-windows-${{ matrix.python-version }}-${{ matrix.architecture }} - run: twine upload *.whl env: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} ecmwf-eccodes-python-b43a0f2/.github/workflows/reusable-ci-hpc.yml0000664000175000017500000000145015172126764025422 0ustar alastairalastairname: reusable-ci-hpc on: workflow_call: inputs: eccodes: required: false type: string eccodes-python: required: false type: string jobs: ci-hpc: name: ci-hpc uses: ecmwf/reusable-workflows/.github/workflows/ci-hpc.yml@v2 with: name-prefix: eccodes-python- build-inputs: | --package: ${{ inputs.eccodes-python || 'ecmwf/eccodes-python@develop' }} --python: 3.10 --env: | ECCODES_SAMPLES_PATH=../install/eccodes/share/eccodes/samples ECCODES_DEFINITION_PATH=../install/eccodes/share/eccodes/definitions --modules: | ecbuild ninja --dependencies: | ${{ inputs.eccodes || 'ecmwf/eccodes@develop' }} --parallel: 64 secrets: inherit ecmwf-eccodes-python-b43a0f2/.github/workflows/cd.yml0000664000175000017500000000155215172126764023050 0ustar alastairalastair# (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. name: cd on: # Trigger the workflow manually workflow_dispatch: ~ push: tags: - '**' paths: - '.github/workflows/cd.yml' jobs: wheel-windows: uses: ./.github/workflows/build-wheel-windows.yml secrets: inherit pypi: needs: [wheel-windows] uses: ecmwf/reusable-workflows/.github/workflows/cd-pypi.yml@v2 with: env_vars: | { "DEPEND_ON_ECCODESLIB": "1" } buildargs: --no-isolation secrets: inherit ecmwf-eccodes-python-b43a0f2/.github/workflows/label-public-pr.yml0000664000175000017500000000034315172126764025431 0ustar alastairalastair# Manage labels of pull requests that originate from forks name: label-public-pr on: pull_request_target: types: [opened, synchronize] jobs: label: uses: ecmwf/reusable-workflows/.github/workflows/label-pr.yml@v2 ecmwf-eccodes-python-b43a0f2/.github/workflows/sync.yml0000664000175000017500000000116315172126764023434 0ustar alastairalastairname: sync # Controls when the workflow will run on: # Trigger the workflow on all pushes push: branches: - "**" tags: - "**" # Trigger the workflow when a branch or tag is deleted delete: ~ jobs: # Calls a reusable CI workflow to sync the current with a remote repository. # It will correctly handle addition of any new and removal of existing Git objects. sync: name: sync uses: ecmwf/reusable-workflows/.github/workflows/sync.yml@v2 secrets: target_repository: eccodes/eccodes-python target_username: ClonedDuck target_token: ${{ secrets.BITBUCKET_PAT }} ecmwf-eccodes-python-b43a0f2/.github/workflows/ci.yml0000664000175000017500000000263115172126764023054 0ustar alastairalastairname: ci on: # Trigger the workflow on push to master or develop, except tag creation push: branches: - "master" - "develop" tags-ignore: - "**" paths-ignore: - "scripts/**" - ".github/workflows/*wheel*.yml" - ".github/workflows/cd.yml" # Trigger the workflow on pull request pull_request: ~ # Trigger the workflow manually workflow_dispatch: ~ # Trigger after public PR approved for CI pull_request_target: types: [labeled] jobs: # Run CI including downstream packages on self-hosted runners downstream-ci: name: downstream-ci if: ${{ !github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci' }} uses: ecmwf/downstream-ci/.github/workflows/downstream-ci.yml@main with: eccodes-python: ecmwf/eccodes-python@${{ github.event.pull_request.head.sha || github.sha }} codecov_upload: true python_qa: true secrets: inherit # Build downstream packages on HPC downstream-ci-hpc: name: downstream-ci-hpc if: ${{ !github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci' }} uses: ecmwf/downstream-ci/.github/workflows/downstream-ci-hpc.yml@main with: eccodes-python: ecmwf/eccodes-python@${{ github.event.pull_request.head.sha || github.sha }} secrets: inherit ecmwf-eccodes-python-b43a0f2/.github/ci-config.yml0000664000175000017500000000023615172126764022261 0ustar alastairalastairdependencies: | ecmwf/ecbuild MathisRosenhauer/libaec@refs/tags/v1.1.3 ecmwf/eccodes dependency_branch: develop parallelism_factor: 8 self_build: false ecmwf-eccodes-python-b43a0f2/.github/ci-hpc-config.yml0000664000175000017500000000042015172126764023024 0ustar alastairalastairbuild: python: '3.10' modules: - ninja dependencies: - ecmwf/ecbuild@develop - ecmwf/eccodes@develop env: - ECCODES_SAMPLES_PATH=$ECCODES_DIR/share/eccodes/samples - ECCODES_DEFINITION_PATH=$ECCODES_DIR/share/eccodes/definitions parallel: 64