measurement_vector_error_covariance_matrix_observation_systemCalc

Workspace.measurement_vector_error_covariance_matrix_observation_systemCalc(self, measurement_vector_error_covariance_matrix_observation_system: pyarts.arts.Matrix | None = None, measurement_gain_matrix: pyarts.arts.Matrix | None = None, measurement_vector_error_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None) → None

Calculates the covariance matrix describing the error due to uncertainties in the observation system.

The uncertainties of the observation system are described by measurement_vector_error_covariance_matrix, which must be set by the user to include the relevant contributions from the measurement and the forward model.

Prerequisite for the calculation of measurement_vector_error_covariance_matrix_observation_system is a successful OEM computation where also the gain matrix has been computed.

Author(s): Simon Pfreundschuh

Parameters:

• measurement_vector_error_covariance_matrix_observation_system (Matrix) – Covariance matrix describing the retrieval error due to uncertainties of the observation system. Defaults to create and/or use self.measurement_vector_error_covariance_matrix_observation_system : Matrix. [OUT]

• measurement_gain_matrix (Matrix, optional) – Contribution function (or gain) matrix. See measurement_gain_matrix, defaults to self.measurement_gain_matrix [IN]

• measurement_vector_error_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix for observation uncertainties. See measurement_vector_error_covariance_matrix, defaults to self.measurement_vector_error_covariance_matrix [IN]