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Constrained regularization methods for ozone profile retrieval from UV/VIS nadir spectrometers

Doicu, Adrian and Schüssler, Olena and Loyola, Diego (2010) Constrained regularization methods for ozone profile retrieval from UV/VIS nadir spectrometers. Journal of Quantitative Spectroscopy and Radiative Transfer, 111 (6), pp. 907-916. Elsevier. DOI: 10.1016/j.jqsrt.2009.11.020 ISSN 0022-4073

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Abstract

In this paper we present several constrained regularization methods for ozone profile retrieval from UV/VIS nadir sounding instruments such as GOME, SCIAMACHY, OMI and GOME-2. These methods extend the Tikhonov regularization and the iteratively regularized Gauss–Newton method with equality and inequality constraints imposed on the vertical column. It will be shown that this type of information, which is delivered by an independent algorithm like DOAS or GODFIT, significantly improves the accuracy and stability of the profile retrieval.

Item URL in elib:https://elib.dlr.de/64808/
Document Type:Article
Title:Constrained regularization methods for ozone profile retrieval from UV/VIS nadir spectrometers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doicu, AdrianDLRUNSPECIFIED
Schüssler, OlenaDLR/TUMUNSPECIFIED
Loyola, DiegoDLRUNSPECIFIED
Date:2010
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:111
DOI :10.1016/j.jqsrt.2009.11.020
Page Range:pp. 907-916
Publisher:Elsevier
Series Name:Elsevier Optics with Atomic, Molecular and Plasma Physics
ISSN:0022-4073
Status:Published
Keywords:Atmospheric retrieval, Constrained regularization
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: Schüssler, Olena
Deposited On:23 Jul 2010 09:20
Last Modified:06 Sep 2019 15:28

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