bgc_data_processing.providers.argo

Specific parameters to load Argo-provided data.

loader = DataSource(provider_name='ARGO', data_format='netcdf', dirin=Path(PROVIDERS_CONFIG['ARGO']['PATH']), data_category=PROVIDERS_CONFIG['ARGO']['CATEGORY'], excluded_files=PROVIDERS_CONFIG['ARGO']['EXCLUDE'], files_pattern=FileNamePattern('.*.nc'), variable_ensemble=SourceVariableSet(provider=VARS['provider'].not_in_file(), expocode=VARS['expocode'].not_in_file(), date=VARS['date'].in_file_as('TIME'), year=VARS['year'].not_in_file(), month=VARS['month'].not_in_file(), day=VARS['day'].not_in_file(), hour=VARS['hour'].not_in_file(), longitude=VARS['longitude'].in_file_as('LONGITUDE'), latitude=VARS['latitude'].in_file_as('LATITUDE'), depth=VARS['depth'].in_file_as('PRES_ADJUSTED').remove_when_nan().correct_with(lambda : -np.abs(x)), temperature=VARS['temperature'].in_file_as(('TEMP_ADJUSTED', 'TEMP_ADJUSTED_QC', [1]), ('TEMP', 'TEMP_QC', [1])), salinity=VARS['salinity'].in_file_as(('PSAL_ADJUSTED', 'PSAL_ADJUSTED_QC', [1]), ('PSAl', 'PSAl_QC', [1])), oxygen=VARS['oxygen'].in_file_as('DOX2_ADJUSTED', 'DOX2').correct_with(units.convert_umol_by_kg_to_mmol_by_m3), phosphate=VARS['phosphate'].not_in_file(), nitrate=VARS['nitrate'].not_in_file(), silicate=VARS['silicate'].not_in_file(), chlorophyll=VARS['chlorophyll'].in_file_as(('CPHL_ADJUSTED', 'CPHL_ADJUSTED_QC', [1]), ('CPHL', 'CPHL_QC', [1])).remove_when_all_nan().correct_with(lambda : np.nan if x < 0.01 else x))) module-attribute