MPAS-JEDI
predefined_configs.py File Reference

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Namespaces

 predefined_configs
 

Variables

 predefined_configs.outerIter = str(nOuterIter)
 
 predefined_configs.anIter = str(nOuterIter)
 
 predefined_configs.appName = jediAppName
 
list predefined_configs.modelDiags = ['mmgfsan']
 model-space diagnostics More...
 
 predefined_configs.diffDiagnostics_ = defaultdict(list)
 difference diagnostics More...
 
 predefined_configs.relativeDiagnostics_ = defaultdict(list)
 relative difference diagnostics More...
 
 predefined_configs.absoluteDiagnostics_ = defaultdict(list)
 absolute diagnostics More...
 
list predefined_configs.cloudyRadDiagnostics = ['SCI']
 cloudy radiance diagnostics More...
 
 predefined_configs.sigmaDiagnostics_ = defaultdict(list)
 STD diagnostics. More...
 
 predefined_configs.diffDiagnostics = diffDiagnostics_[jediAppName]
 
 predefined_configs.relativeDiagnostics = relativeDiagnostics_[jediAppName]
 
 predefined_configs.absoluteDiagnostics = absoluteDiagnostics_[jediAppName]
 
 predefined_configs.sigmaDiagnostics = sigmaDiagnostics_[jediAppName]
 
 predefined_configs.defaultDiagnostics = diffDiagnostics
 
list predefined_configs.nonQCedDiagnostics = ['obs']
 diagnostics for which QC is irrelevant More...
 
dictionary predefined_configs.allNamedLatBands = {}
 heterogeneous/named bins note: the order of subplots will follow what is specified here More...
 
dictionary predefined_configs.namedLatBands = {}
 
dictionary predefined_configs.iband = allNamedLatBands['values'].index(latBand)
 
float predefined_configs.clrskyThresh = 0.05
 
float predefined_configs.cldskyThresh = 1.0 - clrskyThresh
 
dictionary predefined_configs.namedCldFracBands = {}
 
float predefined_configs.seasurfThresh = 0.05
 
float predefined_configs.landsurfThresh = 1.0 - seasurfThresh
 
dictionary predefined_configs.namedLandFracBands = {}
 
 predefined_configs.geoirLonBands = deepcopy(bu.geoirlatlonBoxParams)
 
 predefined_configs.geoirLatBands = deepcopy(bu.geoirlatlonBoxParams)
 
dictionary predefined_configs.binLims = {}
 homogeneous bins note: the ordering described here does not make any difference figure axes will be monotonically increasing except for pressure More...
 
 predefined_configs.binBounds
 
float predefined_configs.binVal = 0.5 * (binBounds[ibin+1] + binBounds[ibin])
 
list predefined_configs.goodFlags = [0, 1]
 
list predefined_configs.goodFlagNames = ['pass', 'passive']
 
list predefined_configs.badFlags
 
list predefined_configs.badFlagNames
 
dictionary predefined_configs.nullBinMethod = { 'filters': [], 'values': [] }
 
dictionary predefined_configs.nullBinVarConfig = { bu.identityBinMethod:nullBinMethod }
 
dictionary predefined_configs.AnyBadQC