MPAS-JEDI
diag_utils.py File Reference

Go to the source code of this file.

Classes

class  diag_utils.BiasCorrectedObs
 
class  diag_utils.BiasCorrection
 
class  diag_utils.BiasCorrectedObsMinusModel
 
class  diag_utils.RelativeBiasCorrectedObsMinusModel
 
class  diag_utils.ObsMinusModel
 
class  diag_utils.RelativeObsMinusModel
 
class  diag_utils.AnalysisMinusBackground
 
class  diag_utils.RelativeAnalysisMinusBackground
 
class  diag_utils.AnalysisMinusBackgroundOverObsMinusBackground
 
class  diag_utils.STDofHofX
 

Namespaces

 diag_utils
 

Functions

def diag_utils.ConsistencyRatioFromDFW (dfw, stateType)
 
def diag_utils.diagnosticConfigs (diagnosticNames_, ObsSpaceName, includeEnsembleDiagnostics=True, analysisStatistics=su.allFileStats, fileFormat=vu.hdfFileFormat)
 

Variables

 diag_utils._logger = logging.getLogger(__name__)
 
list diag_utils.CRStatNames = ['CRd','CRh','CRo']
 
dictionary diag_utils.availableDiagnostics
 Table of available diagnostics format of each entry: diagName: { variable: variable name or class used to calculate this diag iter: iteration of "self" type variables ('bg', 'an', int, default: None OR vu.bgIter depending on appName) vu.mean (optional): whether to apply this diagnostic to the mean state (default: True) vu.ensemble (optional): whether this diagnostic requires variables from ensemble IODA files (default: False) onlyObsSpaces (optional): list of ObsSpaces for which this diag applies see config.DiagSpaceConfig keys for available options analyze (optional): whether to analyze this diagnostic (defualt: True). More...