Data assimilation

Various resources needed to build ad Data Assimilmation system.

class vortex.nwp.data.assim.BackgroundStdError(*args, **kw)

Background error standard deviation.

stage:

• unbal/vor: unbalanced variables fields

• scr: obs. related fields

• profile: full variables global and latitude bands horizontal averages

• full: full variables fields

origin:

• ens: diagnosed from an ensemble

• diag: diagnosed from randomized (a priori climatological) covariances

class vortex.nwp.data.assim.SplitBackgroundStdError(*args, **kw)

Background error standard deviation, for a given variable.

class vortex.nwp.data.assim.BackgroundErrorNorm(*args, **kw)

Background error normalisation data for wavelet covariances.

class vortex.nwp.data.assim.Wavelet(*args, **kw)

Background error wavelet covariances.

class vortex.nwp.data.assim.RawControlVector(*args, **kw)

Raw Control Vector as issued by minimisation, playing the role of an Increment.

class vortex.nwp.data.assim.InternalMinim(*args, **kw)

Generic class for resources internal to minimisation.

class vortex.nwp.data.assim.StartingPointMinim(*args, **kw)

Guess as reprocessed by the minimisation.

class vortex.nwp.data.assim.AnalysedStateMinim(*args, **kw)

Analysed state as produced by the minimisation.

class vortex.nwp.data.assim.PrecevMap(*args, **kw)

Map of the precondionning eigenvectors as produced by minimisation.

class vortex.nwp.data.assim.Precev(*args, **kw)

Precondionning eigenvectors as produced by minimisation.

class vortex.nwp.data.assim.IOassignScript(*args, **kw)

Scripts for IOASSIGN.