RetrievalAddOverlappingWindField

Workspace.RetrievalAddOverlappingWindField(self, jacobian_targets: pyarts3.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts3.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, matrix: pyarts3.arts.BlockMatrix | None = None, inverse: pyarts3.arts.BlockMatrix | None = None) → None

Set wind field derivative for overlapping fields.

An overlapping field means that the derivative is computed but that the x-component of the jacobian is at the same position as another Jacobian target.

To call this method, you first have added 1 component of the wind field derivative, and then you call this method to add the second and third component.

This method wraps jacobian_targetsAddOverlappingWindField() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author: Richard Larsson

Parameters:

• jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]

• covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]

• matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]

• inverse (BlockMatrix, optional) – The inverse covariance diagonal block matrix. Defaults to pyarts.arts.BlockMatrix() [IN]