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Two linearization methods for atmospheric remote sensing

Doicu, Adrian and Trautmann, Thomas (2009) Two linearization methods for atmospheric remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer, 110 (8), pp. 477-490. Elsevier. DOI: 10.1016/j.jqsrt.2009.02.001

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Abstract

We present two linearization methods for a pseudo-spherical atmosphere and general viewing geometries. The first approach is based on an analytical linearization of the discrete ordinate method with matrix exponential and incorporates two models for matrix exponential calculation: the matrix eigenvalue method and the Padé approximation. The second method referred to as the forward–adjoint approach is based on the adjoint radiative transfer for a pseudo-spherical atmosphere. We provide a compact description of the proposed methods as well as a numerical analysis of their accuracy and efficiency.

Item URL in elib:https://elib.dlr.de/65954/
Document Type:Article
Title:Two linearization methods for atmospheric remote sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doicu, Adrianadrian.doicu (at) dlr.deUNSPECIFIED
Trautmann, Thomasthomas.trautmann (at) dlr.deUNSPECIFIED
Date:May 2009
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:110
DOI : 10.1016/j.jqsrt.2009.02.001
Page Range:pp. 477-490
Publisher:Elsevier
Status:Published
Keywords:Radiative transfer; Pseudo-spherical atmosphere; Adjoint operator; Weighting functions
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: Schreier, Dr.rer.nat. Franz
Deposited On:02 Nov 2010 13:17
Last Modified:06 Sep 2019 15:28

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