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

• Published in: Geoscientific Model Development 2020-04, Vol.13 (4), p.1945-1957
• Main Authors: Vicent, Jorge, Verrelst, Jochem, Sabater, Neus, Alonso, Luis, Rivera-Caicedo, Juan Pablo, Martino, Luca, Muñoz-Marí, Jordi, Moreno, José
• Format: Article
• Language: English
• Subjects: Aerosols; Algorithms; Application programming interface; Atmosphere; Atmospheric models; Climate; Comparative analysis; Computer programs; Computer simulation; Data processing; Earth atmosphere; Graphical user interface; Intercomparison; Interfaces; Lookup tables; Optical properties; Product design; Radiance; Radiative transfer; Radiative transfer models; Remote sensing; Sensitivity analysis; Simulation; Software; Software development tools; Software packages; Software upgrading; User interface; User services
• ISSN: 1991-9603; 1991-962X; 1991-959X; 1991-9603; 1991-962X
• DOI: 10.5194/gmd-13-1945-2020

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.