retrievalErrorsExtract

Workspace.retrievalErrorsExtract(self: pyarts.arts._Workspace, retrieval_eo: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.retrieval_eo, retrieval_ss: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.retrieval_ss, covmat_so: pyarts.arts.WorkspaceVariable | pyarts.arts.Matrix | None = self.covmat_so, covmat_ss: pyarts.arts.WorkspaceVariable | pyarts.arts.Matrix | None = self.covmat_ss, verbosity: pyarts.arts.WorkspaceVariable | pyarts.arts.Verbosity | None = self.verbosity) → None

Extract retrieval error from covariance matrices.

Extracts the error estimates for the retrieved quantities from the covariance matrices for the error due to measurement noise covmat_so and the error due to limited resolution of the observation system covmat_ss and stores them in the vectors retrieval_eo and retrieval_ss, respectively. To etract these errors, first the convariance matrices of which the errors should be extracted have to be computed using the WSMs covmat_soCalc() and covmat_ssCalc() or set to be empty in order to be ignored. Note, however, that this will also set the corresponding error vector to be empty.

Author(s): Simon Pfreundschuh

Parameters:

  • retrieval_eo (Vector, optional) – The estimated error in the retrieval due to uncertainty in the observations. See retrieval_eo, defaults to self.retrieval_eo [OUT]

  • retrieval_ss (Vector, optional) – The estimated error in the retrieval due to limited resolution of the. See retrieval_ss, defaults to self.retrieval_ss [OUT]

  • covmat_so (Matrix, optional) – Covariance matrix describing the retrieval error due to uncertainties of. See covmat_so, defaults to self.covmat_so [IN]

  • covmat_ss (Matrix, optional) – Covariance matrix describing the retrieval error due to smoothing. See covmat_ss, defaults to self.covmat_ss [IN]

  • verbosity (Verbosity) – ARTS verbosity. See verbosity, defaults to self.verbosity [IN]