model_state_covariance_matrix_smoothing_errorCalc

Workspace.model_state_covariance_matrix_smoothing_errorCalc(self, model_state_covariance_matrix_smoothing_error: pyarts.arts.Matrix | None = None, measurement_averaging_kernel: pyarts.arts.Matrix | None = None, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None) → None

Calculates the covariance matrix describing the error due to smoothing.

The calculation of model_state_covariance_matrix_smoothing_error also requires the averaging kernel matrix measurement_averaging_kernel to be computed after a successful OEM calculation.

Author(s): Simon Pfreundschuh

Parameters:

• model_state_covariance_matrix_smoothing_error (Matrix) – Covariance matrix describing the retrieval error due to smoothing. Defaults to create and/or use self.model_state_covariance_matrix_smoothing_error : Matrix. [OUT]

• measurement_averaging_kernel (Matrix, optional) – Averaging kernel matrix. See measurement_averaging_kernel, defaults to self.measurement_averaging_kernel [IN]

• model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [IN]