measurement_jacobian

Workspace.measurement_jacobian

Matrix The partial derivatives of the measurement_vector.

In classical \(F(x) = y + \epsilon\)-notation, this is used as both \(\frac{\partial y}{\partial x}\) or \(\frac{\partial y}{\partial x} + \frac{\partial \epsilon}{\partial x}\).

The size of this variable should be the size measurement_vector times the size of model_state_vector.

Input to workspace methods

measurement_averaging_kernelCalc() measurement_vector_errorInitStandard()

Modified by workspace methods

OEM() measurement_vectorAddError()

Output from workspace methods

inversion_iterate_agendaExecute() inversion_iterate_agendaExecuteOperator() measurement_vectorFromSensor()

Output from workspace agendas

inversion_iterate_agenda

Related workspace variables

frequency_grid_wind_shift_jacobian inversion_iterate_agenda_do_jacobian jacobian_targets measurement_averaging_kernel measurement_gain_matrix measurement_jacobian_error measurement_sensor measurement_vector measurement_vector_error measurement_vector_error_covariance_matrix measurement_vector_fitted

propagation_matrix_jacobian propagation_matrix_source_vector_nonlte_jacobian ray_path_frequency_grid_wind_shift_jacobian ray_path_propagation_matrix_jacobian ray_path_propagation_matrix_source_vector_nonlte_jacobian ray_path_spectral_radiance_jacobian ray_path_spectral_radiance_source_jacobian ray_path_transmission_matrix_jacobian spectral_radiance_background_jacobian spectral_radiance_jacobian