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A stochastic cloud model for cloud and ozone retrievals from UV measurements

Efremenko, Dmitry S. and Schüssler, Olena and Doicu, Adrian and Loyola, Diego (2016) A stochastic cloud model for cloud and ozone retrievals from UV measurements. Journal of Quantitative Spectroscopy & Radiative Transfer, 184, pp. 167-179. Elsevier. DOI: 10.1016/j.jqsrt.2016.07.008 ISSN 0022-4073

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Official URL: http://dx.doi.org/10.1016/j.jqsrt.2016.07.008

Abstract

The new generation of satellite instruments provides measurements in and around the Oxygen A-band on a global basis and with a relatively high spatial resolution. These data are commonly used for the determination of cloud properties. A stochastic model and radiative transfer model, previously developed by the authors, is used as the forward model component in retrievals of cloud parameters and ozone total and partial columns. The cloud retrieval algorithm combines local and global optimization routines, and yields a retrieval accuracy of about 1% and a fast computational time. Retrieved parameters are the cloud optical thickness and the cloud-top height. It was found that the use of the independent pixel approximation instead of the stochastic cloud model leads to large errors in the retrieved cloud parameters, as well as, in the retrieved ozone height resolved partial columns. The latter can be reduced by using the stochastic cloud model to compute the optimal value of the regularization parameter in the framework of Tikhonov regularization.

Item URL in elib:https://elib.dlr.de/105784/
Document Type:Article
Title:A stochastic cloud model for cloud and ozone retrievals from UV measurements
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Efremenko, Dmitry S.dmitry.efremenko (at) dlr.dehttps://orcid.org/0000-0002-7449-5072
Schüssler, Olenaolena.schuessler (at) dlr.deUNSPECIFIED
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Loyola, Diegodiego.loyola (at) dlr.deUNSPECIFIED
Date:November 2016
Journal or Publication Title:Journal of Quantitative Spectroscopy & Radiative Transfer
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:184
DOI :10.1016/j.jqsrt.2016.07.008
Page Range:pp. 167-179
Publisher:Elsevier
ISSN:0022-4073
Status:Published
Keywords:Stochastic radiative transfer; Ozone retrieval; Cloud retrieval
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Efremenko, Dr Dmitry
Deposited On:22 Aug 2016 08:39
Last Modified:09 Sep 2016 13:15

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