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Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)
Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth’s atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613350/ https://www.ncbi.nlm.nih.gov/pubmed/36082005 http://dx.doi.org/10.5194/gmd-13-1945-2020 |
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author | Vicent, Jorge Verrelst, Jochem Sabater, Neus Alonso, Luis Rivera-Caicedo, Juan Pablo Martino, Luca Muñoz-Marí, Jordi Moreno, José |
author_facet | Vicent, Jorge Verrelst, Jochem Sabater, Neus Alonso, Luis Rivera-Caicedo, Juan Pablo Martino, Luca Muñoz-Marí, Jordi Moreno, José |
author_sort | Vicent, Jorge |
collection | PubMed |
description | Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth’s atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires good knowledge of the model inputs/outputs and the generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications for their use in practical applications and model intercomparison. Existing RTM-specific graphical user interfaces are not optimized for performing intercomparison studies of a wide variety of atmospheric RTMs. In this paper, we present the Atmospheric Look-up table Generator (ALG) version 2.0, a new software tool that facilitates generating large databases for a variety of atmospheric RTMs. ALG facilitates consistent and intuitive user interaction to enable the running of model executions and storing of RTM data for any spectral configuration in the optical domain. We demonstrate the utility of ALG in performing intercomparison studies of radiance simulations from broadly used atmospheric RTMs (6SV, MODTRAN, and libRadtran) through global sensitivity analysis. We expect that providing ALG to the research community will facilitate the usage of atmospheric RTMs to a wide range of applications in Earth observation. |
format | Online Article Text |
id | pubmed-7613350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76133502022-09-07 Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) Vicent, Jorge Verrelst, Jochem Sabater, Neus Alonso, Luis Rivera-Caicedo, Juan Pablo Martino, Luca Muñoz-Marí, Jordi Moreno, José Geosci Model Dev Article Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth’s atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires good knowledge of the model inputs/outputs and the generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications for their use in practical applications and model intercomparison. Existing RTM-specific graphical user interfaces are not optimized for performing intercomparison studies of a wide variety of atmospheric RTMs. In this paper, we present the Atmospheric Look-up table Generator (ALG) version 2.0, a new software tool that facilitates generating large databases for a variety of atmospheric RTMs. ALG facilitates consistent and intuitive user interaction to enable the running of model executions and storing of RTM data for any spectral configuration in the optical domain. We demonstrate the utility of ALG in performing intercomparison studies of radiance simulations from broadly used atmospheric RTMs (6SV, MODTRAN, and libRadtran) through global sensitivity analysis. We expect that providing ALG to the research community will facilitate the usage of atmospheric RTMs to a wide range of applications in Earth observation. 2020-04-20 /pmc/articles/PMC7613350/ /pubmed/36082005 http://dx.doi.org/10.5194/gmd-13-1945-2020 Text en https://creativecommons.org/licenses/by/4.0/This work is distributed under the Creative Commons Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Vicent, Jorge Verrelst, Jochem Sabater, Neus Alonso, Luis Rivera-Caicedo, Juan Pablo Martino, Luca Muñoz-Marí, Jordi Moreno, José Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title | Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title_full | Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title_fullStr | Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title_full_unstemmed | Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title_short | Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) |
title_sort | comparative analysis of atmospheric radiative transfer models using the atmospheric look-up table generator (alg) toolbox (version 2.0) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613350/ https://www.ncbi.nlm.nih.gov/pubmed/36082005 http://dx.doi.org/10.5194/gmd-13-1945-2020 |
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