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An iterative regularization method with B-spline approximation for atmospheric temperature and concentration retrievals

Doicu, Adrian and Schreier, Franz and Hess, Michael (2005) An iterative regularization method with B-spline approximation for atmospheric temperature and concentration retrievals. Environmental Modelling & Software, Vol. 20 (9), pp. 1101-1109.

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Abstract

A retrieval algorithm using B-spline approximation for solving ill-posed inverse problems arising in atmospheric remote sensing is presented. The nonlinear ill-posed inversion is achieved by means of a hybrid approach combining higher-order B-spline functions and the iteratively regularized Gauss–Newton method. The performance of the inversion algorithm is studied by means of simulations for atmospheric temperature retrieval from far infrared airborne observations and molecular concentration retrievals from infrared limb emission spectra.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2005,
Title:An iterative regularization method with B-spline approximation for atmospheric temperature and concentration retrievals
Authors:
AuthorsInstitution or Email of Authors
Doicu, AdrianUNSPECIFIED
Schreier, FranzUNSPECIFIED
Hess, MichaelUNSPECIFIED
Date:2005
Journal or Publication Title:Environmental Modelling & Software
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:Vol. 20
Page Range:pp. 1101-1109
Status:Published
Keywords:Inverse problems; Nonlinear least squares; Regularization; Atmospheric spectroscopy; Remote sensing
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):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Cornelia Roehl
Deposited On:25 Jan 2006
Last Modified:06 Jan 2010 22:40

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