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Workspace Method retrievalAddPointingZa

Description

Same as jacobianAddPointingZa but also adds a new block to covmat_sx
using the matrices in covmat_block and covmat_inv_block.

If covmat_inv_block is non-empty, it is used as inverse for the added block
which avoids its numerical computation.

For number and order of elements added to x, see jacobianAddPointingZa.

Authors: Simon Pfreundschuh

Synopsis

retrievalAddPointingZa( covmat_sx, jacobian_quantities, jacobian_agenda, covmat_block, covmat_inv_block, sensor_pos, sensor_time, poly_order, calcmode, dza )

Variables

OUT+INcovmat_sx(CovarianceMatrix)Covariance matrix of a priori distribution This covariance matrix describes the Gaussian a priori distribution for an OEM retrieval.
OUT+INjacobian_quantities(ArrayOfRetrievalQuantity)The retrieval quantities in the Jacobian matrix.
OUT+INjacobian_agenda(Agenda)Pure numerical Jacobian calculation agenda.
INcovmat_block(Sparse)Holds matrices used to set blocks in covmat_sx and covmat_se.
INcovmat_inv_block(Sparse)Holds matrices used to set the inverse blocks in covmat_sx and covmat_se.
INsensor_pos(Matrix)The sensor position for each measurement block.
INsensor_time(Vector)The time for each measurement block.
GINpoly_order(Index, Default: 0)Order of polynomial to describe the time variation of pointing off-sets.
GINcalcmode(String, Default: "recalc")Calculation method. See above
GINdza(Numeric, Default: 0.01)Size of perturbation to apply (when applicable).