RetrievalAddOverlappingWindField

Workspace.RetrievalAddOverlappingWindField(self, jac_targets: pyarts3.arts.JacobianTargets | None = None, covmat_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.

The reason for this method is that it allows representing the (signed) absolute wind speed derivative as a combination of the three wind field components.

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 jac_targetsAddOverlappingWindField() together with adding the covariance matrices, to the covmat_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 jac_targets. The covariance matrix inverse

Author: Richard Larsson

Parameters:

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

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

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

• inverse (BlockMatrix, optional) – The inverse covariance diagonal block matrix. Defaults to pyarts3.arts.BlockMatrix() [IN]