6533b857fe1ef96bd12b4748
RESEARCH PRODUCT
Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)
J. VicentJ. VicentJ. VerrelstN. SabaterL. AlonsoJ. P. Rivera-caicedoL. MartinoJ. Muñoz-maríJ. Morenosubject
Earth observation010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryMODTRANRemote sensing applicationlcsh:QE1-996.50211 other engineering and technologies02 engineering and technology01 natural scienceslcsh:GeologySoftwareComputer engineeringLookup tableRadiative transferTable (database)businessGraphical user interface021101 geological & geomatics engineering0105 earth and related environmental sciencesdescription
Abstract. 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.
year | journal | country | edition | language |
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2019-10-08 |