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A fast and accurate radiative transfer model for aerosol remote sensing

After several decades’ development of retrieval techniques in aerosol remote sensing, no fast and accurate analytical Radiative Transfer Model (RTM) has been developed and applied to create global aerosol products for non-polarimetric instruments such as Ocean and Land Colour Instrument/Sentinel-3 (...

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Detalles Bibliográficos
Autores principales: Mei, Linlu, Rozanov, Vladimir, Burrows, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450281/
https://www.ncbi.nlm.nih.gov/pubmed/32868955
http://dx.doi.org/10.1016/j.jqsrt.2020.107270
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author Mei, Linlu
Rozanov, Vladimir
Burrows, John P.
author_facet Mei, Linlu
Rozanov, Vladimir
Burrows, John P.
author_sort Mei, Linlu
collection PubMed
description After several decades’ development of retrieval techniques in aerosol remote sensing, no fast and accurate analytical Radiative Transfer Model (RTM) has been developed and applied to create global aerosol products for non-polarimetric instruments such as Ocean and Land Colour Instrument/Sentinel-3 (OLCI/Sentinel-3) and Meteosat Second Generation/Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI). Global aerosol retrieval algorithms are typically based on a Look-Up–Table (LUT) technique, requiring high-performance computers. The current eXtensible Bremen Aerosol/cloud and surfacE parameters Retrieval (XBAER) algorithm also utilizes the LUT method. In order to have a near-real time retrieval and achieve a quick and accurate “FIRST-LOOK” aerosol product without high-demand of computing resource, we have developed a Fast and Accurate Semi-analytical Model of Atmosphere-surface Reflectance (FASMAR) for aerosol remote sensing. The FASMAR is developed based on a successive order of scattering technique. In FASMAR, the first three orders of scattering are calculated exactly. The contribution of higher orders of scattering is estimated using an extrapolation technique and an additional correction function. The evaluation of FASMAR has been performed by comparing with radiative transfer model SCIATRAN for all typical observation/illumination geometries, surface/aerosol conditions, and wavelengths 412, 550, 670, 870, 1600, 2100 nm used for aerosol remote sensing. The selected observation/illumination conditions are based on the observations from both geostationary satellite (e.g. MSG/SEVIRI) and polar-orbit satellite (e.g. OLCI/Sentinel-3). The percentage error of the top of atmosphere reflectance calculated by FASMAR is within  ± 3% for typical polar-orbit/geostationary satellites’ observation/illumination geometries. The accuracy decreases for solar and viewing zenith angles larger than 70(∘). However, even in such cases, the error is within the range  ± 5%. The evaluation of model performance also shows that FASMAR can be used for all typical surfaces with albedo in the interval [Formula: see text] and aerosol with optical thickness in the range [Formula: see text].
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spelling pubmed-74502812020-08-27 A fast and accurate radiative transfer model for aerosol remote sensing Mei, Linlu Rozanov, Vladimir Burrows, John P. J Quant Spectrosc Radiat Transf Article After several decades’ development of retrieval techniques in aerosol remote sensing, no fast and accurate analytical Radiative Transfer Model (RTM) has been developed and applied to create global aerosol products for non-polarimetric instruments such as Ocean and Land Colour Instrument/Sentinel-3 (OLCI/Sentinel-3) and Meteosat Second Generation/Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI). Global aerosol retrieval algorithms are typically based on a Look-Up–Table (LUT) technique, requiring high-performance computers. The current eXtensible Bremen Aerosol/cloud and surfacE parameters Retrieval (XBAER) algorithm also utilizes the LUT method. In order to have a near-real time retrieval and achieve a quick and accurate “FIRST-LOOK” aerosol product without high-demand of computing resource, we have developed a Fast and Accurate Semi-analytical Model of Atmosphere-surface Reflectance (FASMAR) for aerosol remote sensing. The FASMAR is developed based on a successive order of scattering technique. In FASMAR, the first three orders of scattering are calculated exactly. The contribution of higher orders of scattering is estimated using an extrapolation technique and an additional correction function. The evaluation of FASMAR has been performed by comparing with radiative transfer model SCIATRAN for all typical observation/illumination geometries, surface/aerosol conditions, and wavelengths 412, 550, 670, 870, 1600, 2100 nm used for aerosol remote sensing. The selected observation/illumination conditions are based on the observations from both geostationary satellite (e.g. MSG/SEVIRI) and polar-orbit satellite (e.g. OLCI/Sentinel-3). The percentage error of the top of atmosphere reflectance calculated by FASMAR is within  ± 3% for typical polar-orbit/geostationary satellites’ observation/illumination geometries. The accuracy decreases for solar and viewing zenith angles larger than 70(∘). However, even in such cases, the error is within the range  ± 5%. The evaluation of model performance also shows that FASMAR can be used for all typical surfaces with albedo in the interval [Formula: see text] and aerosol with optical thickness in the range [Formula: see text]. Elsevier Ltd. 2020-11 2020-08-27 /pmc/articles/PMC7450281/ /pubmed/32868955 http://dx.doi.org/10.1016/j.jqsrt.2020.107270 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Mei, Linlu
Rozanov, Vladimir
Burrows, John P.
A fast and accurate radiative transfer model for aerosol remote sensing
title A fast and accurate radiative transfer model for aerosol remote sensing
title_full A fast and accurate radiative transfer model for aerosol remote sensing
title_fullStr A fast and accurate radiative transfer model for aerosol remote sensing
title_full_unstemmed A fast and accurate radiative transfer model for aerosol remote sensing
title_short A fast and accurate radiative transfer model for aerosol remote sensing
title_sort fast and accurate radiative transfer model for aerosol remote sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450281/
https://www.ncbi.nlm.nih.gov/pubmed/32868955
http://dx.doi.org/10.1016/j.jqsrt.2020.107270
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