epygram.formats.grib_utilities — GRIB tables and co.

Contains equivalences tables for GRIB encoding.

epygram.formats.grib_utilities.productionStatusOfProcessedData_dict = {u'oper': 0, u'test': 2, u'dble': 1, u'unknown': 255, u'research': 2}

Aliases to productionStatusOfProcessedData numbers

epygram.formats.grib_utilities.typeOfGeneratingProcess_dict = {u'Post-processed analysis': 12, u'Probability forecast': 5, u'Observation': 8, u'Hindcast': 15, u'Ensemble forecast': 4, u'Initialization': 1, u'Forecast error': 6, u'Probability-weighted forecast': 10, u'Analysis': 0, u'Forecast': 2, u'Bias corrected forecast': 3, u'Post-processed forecast': 13, u'unknown': 255, u'Climatological': 9, u'Nowcast': 14, u'Analysis error': 7, u'Bias-corrected ensemble forecast': 11}

Aliases to typeOfGeneratingProcess numbers

epygram.formats.grib_utilities.pyproj_geoid_shapes = {0: {u'a': 6367470.0, u'b': 6367470.0}, 2: {u'a': 6378160.0, u'rf': 297.0}, 4: {u'ellps': u'GRS80'}, 5: {u'ellps': u'WGS84'}, 6: {u'a': 6371229.0, u'b': 6371229.0}, 8: {u'a': 6371200.0, u'b': 6371200.0}, 9: {u'ellps': u'airy'}}

Geoid shapes for pyproj

epygram.formats.grib_utilities.statistical_processes = {0: u'average', 1: u'accumulation', 2: u'maximum', 3: u'minimum', 4: u'difference', 5: u'rms', 6: u'stdev', 7: u'covariance', 8: u'-difference', 9: u'ratio', 10: u'summation', 11: u'standardized anomaly'}

Type of statistical process over a duration