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Error analysis and minimum bound method for atmospheric remote sensing

Doicu, Adrian and Schreier, Franz and Hilgers, Siegfried and Hess, Michael (2005) Error analysis and minimum bound method for atmospheric remote sensing. Environmental Modelling & Software, 22 (6), pp. 837-846. Elsevier. DOI: 10.1016/j.envsoft.2005.08.006.

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Official URL: http://dx.doi.org/10.1016/j.envsoft.2005.08.006

Abstract

In this study, we present an error analysis for Tikhonov regularization in a semi-stochastic setting. The analysis is carried out in such a way that it can be applied to any kind of inverse problem in atmospheric remote sensing. A method for selecting the optimal regularization parameter relying on the minimization of an estimator of the bound of the error between the first iterate and the exact solution is also discussed. Numerical simulations are performed for NO2 retrieval from SCIAMACHY limb scatter measurements.

Document Type:Article
Title:Error analysis and minimum bound method for atmospheric remote sensing
Authors:
AuthorsInstitution or Email of Authors
Doicu, AdrianUNSPECIFIED
Schreier, FranzUNSPECIFIED
Hilgers, SiegfriedUNSPECIFIED
Hess, MichaelUNSPECIFIED
Date:2 February 2005
Journal or Publication Title:Environmental Modelling & Software
Volume:22
DOI:10.1016/j.envsoft.2005.08.006
Page Range:pp. 837-846
Publisher:Elsevier
Status:Published
Keywords:Inverse problems, nonlinear least squares, regularization, atmospheric spectroscopy, remote sensing, error analysis
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Entwicklung von Atmosphärenprozessoren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Dr.rer.nat. Franz Schreier
Deposited On:06 Mar 2007
Last Modified:12 Dec 2013 20:23

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