Doicu, Adrian und Doicu, Alexandru und Efremenko, Dmitry und Trautmann, Thomas (2022) Cloud tomographic retrieval algorithms. II: Adjoint method. Journal of Quantitative Spectroscopy and Radiative Transfer, 285, Seite 108177. Elsevier. doi: 10.1016/j.jqsrt.2022.108177. ISSN 0022-4073.
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Offizielle URL: https://dx.doi.org/10.1016/j.jqsrt.2022.108177
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/186064/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Cloud tomographic retrieval algorithms. II: Adjoint method | ||||||||||||||||||||
Autoren: |
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Datum: | 26 März 2022 | ||||||||||||||||||||
Erschienen in: | Journal of Quantitative Spectroscopy and Radiative Transfer | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 285 | ||||||||||||||||||||
DOI: | 10.1016/j.jqsrt.2022.108177 | ||||||||||||||||||||
Seitenbereich: | Seite 108177 | ||||||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||||||
ISSN: | 0022-4073 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | cloud retrieval; cloud tomography | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Spektroskopische Verfahren der Atmosphäre | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Atmosphärenprozessoren | ||||||||||||||||||||
Hinterlegt von: | Efremenko, Dr Dmitry | ||||||||||||||||||||
Hinterlegt am: | 12 Apr 2022 09:10 | ||||||||||||||||||||
Letzte Änderung: | 01 Mär 2024 11:39 |
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