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Linearized radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements

Molina García, Víctor and Sasi, Sruthy and Efremenko, Dmitry and Doicu, Adrian and Loyola, Diego (2018) Linearized radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements. Journal of Quantitative Spectroscopy & Radiative Transfer, 213, pp. 241-251. Elsevier. DOI: 10.1016/j.jqsrt.2018.03.008 ISSN 0022-4073

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Official URL: https://www.sciencedirect.com/science/article/pii/S0022407317306520

Abstract

In this paper, we describe several linearized radiative transfer models which can be used for the retrieval of cloud parameters from EPIC (Earth Polychromatic Imaging Camera) measurements. The approaches under examination are (1) the linearized forward approach, represented in this paper by the linearized discrete ordinate and matrix operator methods with matrix exponential, and (2) the forward-adjoint approach based on the discrete ordinate method with matrix exponential. To enhance the performance of the radiative transfer computations, the correlated k-distribution method and the Principal Component Analysis (PCA) technique are used. We provide a compact description of the proposed methods, as well as a numerical analysis of their accuracy and efficiency when simulating EPIC measurements in the oxygen A-band channel at 764 nm. We found that the computation time of the forward-adjoint approach using the correlated k-distribution method in conjunction with PCA is approximately 13 s for simultaneously computing the derivatives with respect to cloud optical thickness and cloud top height.

Item URL in elib:https://elib.dlr.de/120384/
Document Type:Article
Title:Linearized radiative transfer models for retrieval of cloud parameters from EPIC/DSCOVR measurements
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Molina García, Víctorvictor.molinagarcia (at) dlr.deUNSPECIFIED
Sasi, Sruthysruthy.sasi (at) dlr.deUNSPECIFIED
Efremenko, Dmitrydmitry.efremenko (at) dlr.deUNSPECIFIED
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Loyola, Diegodiego.loyola (at) dlr.deUNSPECIFIED
Date:July 2018
Journal or Publication Title:Journal of Quantitative Spectroscopy & Radiative Transfer
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:213
DOI :10.1016/j.jqsrt.2018.03.008
Page Range:pp. 241-251
Publisher:Elsevier
Series Name:Elsevier
ISSN:0022-4073
Status:Published
Keywords:inversion; linearized models; adjoint radiative transfer; EPIC
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: Molina García, Víctor
Deposited On:18 Jun 2018 13:58
Last Modified:31 Jul 2019 20:18

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