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The Retrieval Algorithm of the SCIAMACHY Limb Processor Version 3.0

Adrian Doicu(1), Siegfried Hilgers(2), Albrecht von Bragen(2) and Bernd Aberle(2)

(1) German Aerospace Center, Oberpfaffenhoffen, 82234 Wessling, Germany
(2) German Aerospace Center, Oberpfaffenhofen, 82234 Wessling, Germany


In this presentation we describe the main features of the retrieval algorithm for the SCIAMACHY limb retrieval processor. The regularization method used is the iteratively regularized Gauss-Newton method with a descending sequence of regularization parameters. The problem is solved iteratively and at each iteration step, a trust region method with simple bounda on the variables is employed to compute the new iterate. The regularization matrices are stochastic (the Choleski factor of the a priori covariance matrix) or deterministic (the discrete approximations to the derivative operators). The selection of the regularization parameters is based on the L-curve method and on the analysis of the residuals at each iteration step.


Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry