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Cloud tomographic retrieval algorithms. II: Adjoint method

Doicu, Adrian and Doicu, Alexandru and Efremenko, Dmitry and Trautmann, Thomas (2022) Cloud tomographic retrieval algorithms. II: Adjoint method. Journal of Quantitative Spectroscopy and Radiative Transfer, 285, p. 108177. Elsevier. doi: 10.1016/j.jqsrt.2022.108177. ISSN 0022-4073.

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Official URL: https://dx.doi.org/10.1016/j.jqsrt.2022.108177

Abstract

A cloud tomographic retrieval algorithm relying on (i) the spherical harmonics discrete ordinate method for radiative transfer calculation and (ii) the adjoint radiative transfer theory for computing the gradient of the objective function has been designed. In order to escape local minima and to increase the efficiency of the retrieval algorithm, the computation of the gradient of the objective function by the adjoint method has been combined with that of the gradient of a surrogate function. The retrieval algorithm uses regularization and accelerated projected gradient methods endowed with a step length procedure. The performances of the retrieval algorithm as compared to those of a retrieval algorithm based on the surrogate minimization method are analyzed on a few synthetic problems.

Item URL in elib:https://elib.dlr.de/186064/
Document Type:Article
Title:Cloud tomographic retrieval algorithms. II: Adjoint method
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Doicu, AlexandruAugsburg UniversityUNSPECIFIED
Efremenko, DmitryDmitry.Efremenko (at) dlr.dehttps://orcid.org/0000-0002-7449-5072
Trautmann, ThomasThomas.Trautmann (at) dlr.deUNSPECIFIED
Date:2022
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:285
DOI :10.1016/j.jqsrt.2022.108177
Page Range:p. 108177
Publisher:Elsevier
ISSN:0022-4073
Status:Published
Keywords:cloud retrieval; cloud tomography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Spectroscopic methods of the atmosphere
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Efremenko, Dr Dmitry
Deposited On:12 Apr 2022 09:10
Last Modified:13 Apr 2022 17:10

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