SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models

Since the initiation of the development at the Institute of Environmental Physics (IUP), University of Bremen in 1994, the radiative transfer model SCIATRAN (formerly GOMETRAN) has been continuously improved and new versions have been released. In the course of development, the SCIATRAN software pac...

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Main Authors: Mei, Linlu, Rozanov, Vladimir, Rozanov, Alexei, Burrows, John
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/gmd-2022-153
https://gmd.copernicus.org/preprints/gmd-2022-153/
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spelling ftcopernicus:oai:publications.copernicus.org:gmdd104316 2023-05-15T18:18:37+02:00 SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models Mei, Linlu Rozanov, Vladimir Rozanov, Alexei Burrows, John 2022-07-01 application/pdf https://doi.org/10.5194/gmd-2022-153 https://gmd.copernicus.org/preprints/gmd-2022-153/ eng eng doi:10.5194/gmd-2022-153 https://gmd.copernicus.org/preprints/gmd-2022-153/ eISSN: 1991-9603 Text 2022 ftcopernicus https://doi.org/10.5194/gmd-2022-153 2022-07-04T16:22:42Z Since the initiation of the development at the Institute of Environmental Physics (IUP), University of Bremen in 1994, the radiative transfer model SCIATRAN (formerly GOMETRAN) has been continuously improved and new versions have been released. In the course of development, the SCIATRAN software package became capable to simulate radiative transfer processes through an atmosphere-ocean system with a variety of approaches to treat the sphericity of the atmosphere (plane-parallel, pseudo-spherical, approximate spherical and full spherical solutions) in both scalar and vector modes. Supported by a variety of build-in databases and parameterizations, these capabilities made SCIATRAN widely used for various remote sensing applications related to the retrieval of atmospheric trace gases and characteristics of aerosols, clouds and surface. This paper presents an overview of the clouds, aerosol and surface (CAS) databases and models implemented in the SCIATRAN software package (V4.5) and provides some recommendations on their usage. The new implementations offer potential users flexible interface to perform radiative transfer simulations: 1) in the case of multi-layer liquid water, ice and mix-phase clouds; 2) employing typical aerosol type parameterizations (including vertical variability) used in satellite and model communities as well as updated databases; 3) including various surface BRDF and albedo models for land, vegetation, ocean, snow and melt ponds on sea ice. The most recent SCIATRAN version is freely available for students and scientists affiliated at academic facilities after a registration at the website of IUP, University of Bremen: http://www.iup.physik.uni-bremen.de/sciatran . Text Sea ice Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description Since the initiation of the development at the Institute of Environmental Physics (IUP), University of Bremen in 1994, the radiative transfer model SCIATRAN (formerly GOMETRAN) has been continuously improved and new versions have been released. In the course of development, the SCIATRAN software package became capable to simulate radiative transfer processes through an atmosphere-ocean system with a variety of approaches to treat the sphericity of the atmosphere (plane-parallel, pseudo-spherical, approximate spherical and full spherical solutions) in both scalar and vector modes. Supported by a variety of build-in databases and parameterizations, these capabilities made SCIATRAN widely used for various remote sensing applications related to the retrieval of atmospheric trace gases and characteristics of aerosols, clouds and surface. This paper presents an overview of the clouds, aerosol and surface (CAS) databases and models implemented in the SCIATRAN software package (V4.5) and provides some recommendations on their usage. The new implementations offer potential users flexible interface to perform radiative transfer simulations: 1) in the case of multi-layer liquid water, ice and mix-phase clouds; 2) employing typical aerosol type parameterizations (including vertical variability) used in satellite and model communities as well as updated databases; 3) including various surface BRDF and albedo models for land, vegetation, ocean, snow and melt ponds on sea ice. The most recent SCIATRAN version is freely available for students and scientists affiliated at academic facilities after a registration at the website of IUP, University of Bremen: http://www.iup.physik.uni-bremen.de/sciatran .
format Text
author Mei, Linlu
Rozanov, Vladimir
Rozanov, Alexei
Burrows, John
spellingShingle Mei, Linlu
Rozanov, Vladimir
Rozanov, Alexei
Burrows, John
SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
author_facet Mei, Linlu
Rozanov, Vladimir
Rozanov, Alexei
Burrows, John
author_sort Mei, Linlu
title SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
title_short SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
title_full SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
title_fullStr SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
title_full_unstemmed SCIATRAN software package (V4.6): update and further development of aerosol, clouds, surface reflectance databases and models
title_sort sciatran software package (v4.6): update and further development of aerosol, clouds, surface reflectance databases and models
publishDate 2022
url https://doi.org/10.5194/gmd-2022-153
https://gmd.copernicus.org/preprints/gmd-2022-153/
genre Sea ice
genre_facet Sea ice
op_source eISSN: 1991-9603
op_relation doi:10.5194/gmd-2022-153
https://gmd.copernicus.org/preprints/gmd-2022-153/
op_doi https://doi.org/10.5194/gmd-2022-153
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