oemAddWindField

Workspace.oemAddWindField(self, jac_targets: JacobianTargets = self.jac_targets, oem: OptimalEstimationData = self.oem, component: String, d: Numeric = 0.1, matrix: BlockMatrix, inverse: BlockMatrix = []) → None

Set wind field derivative.

Note that the derivatives from methods that takes the frequency will return their derivatives as if these were frequency derivatives.

See FieldComponent for valid component

This method wraps jac_targetsAddWindField() together with adding the covariance matrices, to oem.covmat_diagonal_blocks for assembly by oemFinalizeDiagonal().

The input covariance matrices must fit the size of the later computed model state represented by jac_targets. The inverse block is optional.

Warning

Automatic size constraints are not checked for this method. Group-invariant checks on read-only inputs still apply.

Author: Richard Larsson

Parameters:

  • jac_targets (~pyarts3.arts.JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. Defaults to self.jac_targets. [INOUT]

  • oem (~pyarts3.arts.OptimalEstimationData, optional) – Numerical problem and results for oemCalc() and oemCalcReduced(). Defaults to self.oem. [INOUT]

  • component (String) – The component to use [u, v, w]. [IN]

  • d (~pyarts3.arts.Numeric, optional) – The perturbation used in methods that cannot compute derivatives analytically. Defaults to 0.1 [IN]

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

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