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Accuracy Enhancement of the Two-Stream Radiative Transfer Model for Computing Absorption Bands at the Presence of Aerosols

del Águila, Ana and Efremenko, Dmitry S. (2021) Accuracy Enhancement of the Two-Stream Radiative Transfer Model for Computing Absorption Bands at the Presence of Aerosols. Light and Engineering, 29 (2), pp. 79-86. Znack Publishing House. doi: 10.33383/2020-078. ISSN 0236-2945.

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Official URL: https://l-e-journal.com/en/journals/light-engineering-29-2/accuracy-enhancement-of-the-two-stream-radiative-transfer-model-for-computing-absorption-bands-at-th/

Abstract

The two-stream model is the fastest radiative transfer model among those based on the discrete ordinate method. Although its accuracy is not high enough to be used in applications, the two-stream model gets more attention in computationally demanding tasks such as line-by-line simulations in the gaseous absorption bands. For this reason, we designed the cluster low-streams regression (CLSR) technique, in which a spectrum computed with a two-stream model, is refined by using statistical dependencies between two- and multistream radiative transfer models. In this paper, we examine the efficiency of this approach for computing Hartley-Huggins, O2 A-, water vapour and CO2 bands at the presence of aerosols. The numerical results evidence that the errors of the CLSR method is not biased and around 0.05 %, while the performance enhancement is two orders of magnitude.

Item URL in elib:https://elib.dlr.de/146793/
Document Type:Article
Title:Accuracy Enhancement of the Two-Stream Radiative Transfer Model for Computing Absorption Bands at the Presence of Aerosols
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
del Águila, AnaAna.delAguilaPerez (at) dlr.dehttps://orcid.org/0000-0001-9006-9631
Efremenko, Dmitry S.dmitry.efremenko (at) dlr.dehttps://orcid.org/0000-0002-7449-5072
Date:22 April 2021
Journal or Publication Title:Light and Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:29
DOI :10.33383/2020-078
Page Range:pp. 79-86
Publisher:Znack Publishing House
ISSN:0236-2945
Status:Published
Keywords:cluster low-streams regression method, hyperspectral data, regression model, radiative transfer, aerosol models, line-by-line model
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 - Spectroscopic methods of the atmosphere
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: del Aguila Perez, Ana
Deposited On:07 Dec 2021 14:36
Last Modified:08 Dec 2021 09:14

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