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Acceleration of radiative transfer model calculations for the retrieval of trace gases under cloudy conditions

Efremenko, Dmitry and Loyola, Diego and Spurr, Robert and Doicu, Adrian (2014) Acceleration of radiative transfer model calculations for the retrieval of trace gases under cloudy conditions. Journal of Quantitative Spectroscopy and Radiative Transfer, 135, pp. 58-65. Elsevier. doi: dx.doi.org/10.1016/j.jqsrt.2013.11.014. ISSN 0022-4073.

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Official URL: http://www.sciencedirect.com/science/article/pii/S002240731300469X


In the independent pixel approximation (IPA), radiative transfer computations involving cloudy scenes require two separate calls to the radiative transfer model (RTM), one call for a clear sky scenario, the other for an atmosphere containing clouds. In this paper, clouds are considered as an optically homogeneous layer. We present two novel methods for RTM performance enhancement with particular application to trace gas retrievals under cloudy conditions. Both methods are based on reusing results from clear-sky RTM calculations to speed up corresponding calculations for the cloud-filled scenario. The first approach is numerically exact, and has been applied to the discrete-ordinate with matrix exponential (DOME) RTM. Results from the original clear sky computation can be saved in the memory and reused for the non-cloudy layers in the second computation. In addition, for the whole-atmosphere boundary-value approach to the determination of the intensity field, we can exploit a ’telescoping technique’ to reduce the dimensionality (and hence the computational effort for the solution) of the boundary value problem in the absence of Rayleigh scattering contributions for higher azimuthal components of the radiation field. The second approach is (for the cloudy scenario) to generate a spectral correction applied to the radiation field from a fast two-stream RTM. This correction is based on the use of principal-component analysis (PCA) applied to a given window of spectral optical property data, in order to exploit redundancy in the data and confine the number of full-stream multiple scatter computations to the first few EOFs (Empirical Orthogonal Functions) arising from the PCA. This method has been applied to the LIDORT RTM; although the method involves some approximation, it provides accuracy better than 0.2%, and a speed-up factor of approximately 2 compared with two calls of RTM.

Item URL in elib:https://elib.dlr.de/87990/
Document Type:Article
Title:Acceleration of radiative transfer model calculations for the retrieval of trace gases under cloudy conditions
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Efremenko, Dmitrydmitry.efremenko (at) dlr.deUNSPECIFIED
Loyola, Diegodiego.loyola (at) dlr.deUNSPECIFIED
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Date:March 2014
Journal or Publication Title:Journal of Quantitative Spectroscopy and Radiative Transfer
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :dx.doi.org/10.1016/j.jqsrt.2013.11.014
Page Range:pp. 58-65
EditorsEmailEditor's ORCID iD
Mengüç, M. PinarÖzyeğin University, Istanbul, TurkeyUNSPECIFIED
Mishchenko, Michael I.NASA-Goddard Institute for Space Studies, NY, USAUNSPECIFIED
Rothman, Laurence S.Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USAUNSPECIFIED
Keywords:Fast radiative transfer model; Cloud; Ozone retrieval
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 - Vorhaben Entwicklung von Atmosphärenprozessoren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Efremenko, Dr Dmitry
Deposited On:03 Feb 2014 14:32
Last Modified:06 Sep 2019 15:28

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