Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0).

Jorge Vicent, Jochem Verrelst, Neus Sabater, Luis Alonso, Juan Pablo Rivera-Caicedo, Luca Martino, Jordi Mu��oz-Mar��, Jos�� Moreno
Author Information
  1. Jorge Vicent: Magellium, Toulouse, France.
  2. Jochem Verrelst: Image Processing Laboratory, Universitat de Val��ncia, 46980 Paterna, Valencia, Spain.
  3. Neus Sabater: Finnish Meteorological Institute, Erik Palm��nin aukio 1, 00560 Helsinki, Finland.
  4. Luis Alonso: Image Processing Laboratory, Universitat de Val��ncia, 46980 Paterna, Valencia, Spain.
  5. Juan Pablo Rivera-Caicedo: Secretary of Research and Graduate Studies, CONACYT-UAN, 63155 Tepic, Nayarit, Mexico.
  6. Luca Martino: Departamento de Teor��a de la Se��al y Comunicaciones, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Madrid, Spain.
  7. Jordi Mu��oz-Mar��: Image Processing Laboratory, Universitat de Val��ncia, 46980 Paterna, Valencia, Spain.
  8. Jos�� Moreno: Image Processing Laboratory, Universitat de Val��ncia, 46980 Paterna, Valencia, Spain.

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 (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.

References

  1. Appl Opt. 1987 Apr 1;26(7):1272-81 [PMID: 20454315]
  2. Appl Opt. 2007 Jul 10;46(20):4455-64 [PMID: 17579701]
  3. Appl Opt. 2006 Sep 10;45(26):6762-74 [PMID: 16926910]
  4. Appl Opt. 1988 Jun 15;27(12):2502-9 [PMID: 20531783]
  5. Sensors (Basel). 2008 Apr 18;8(4):2774-2791 [PMID: 27879849]
  6. Geosci Model Dev. 2020 Apr 20;13(4):1945-1957 [PMID: 36082005]
  7. Appl Opt. 2008 May 1;47(13):2215-26 [PMID: 18449285]
  8. Remote Sens (Basel). 2018 Sep 26;10(10):1551 [PMID: 36081617]
  9. IEEE Trans Geosci Remote Sens. 2019 Feb;57(2):1040-1048 [PMID: 36082240]
  10. Remote Sens (Basel). 2019 Aug 17;11(16):1923 [PMID: 36081836]
  11. Nature. 2014 Oct 9;514(7521):218-22 [PMID: 25231863]

Grants

  1. 755617/European Research Council

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