Systematic comparison of vectorial spherical radiative transfer models in limb scattering geometry
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Published:2021-05-28
Issue:5
Volume:14
Page:3953-3972
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Zawada Daniel, Franssens Ghislain, Loughman Robert, Mikkonen AnttiORCID, Rozanov AlexeiORCID, Emde Claudia, Bourassa Adam, Dueck Seth, Lindqvist Hannakaisa, Ramon Didier, Rozanov Vladimir, Dekemper Emmanuel, Kyrölä ErkkiORCID, Burrows John P.ORCID, Fussen Didier, Degenstein Doug
Abstract
Abstract. A comprehensive inter-comparison of seven radiative transfer models in the limb scattering geometry has been performed.
Every model is capable of accounting for polarization within a spherical atmosphere.
Three models (GSLS, SASKTRAN-HR, and SCIATRAN) are deterministic, and four models (MYSTIC, SASKTRAN-MC, Siro, and SMART-G) are statistical using the Monte Carlo technique.
A wide variety of test cases encompassing different atmospheric conditions, solar geometries, wavelengths, tangent altitudes, and Lambertian surface reflectances have been defined and executed for every model.
For the majority of conditions it was found that the models agree to better than 0.2 % in the single-scatter test cases and better than 1 % in the scalar and vectorial test cases with multiple scattering included, with some larger differences noted at high values of surface reflectance.
For the first time in limb geometry, the effect of atmospheric refraction was compared among four models that support it (GSLS, SASKTRAN-HR, SCIATRAN, and SMART-G).
Differences among most models with multiple scattering and refraction enabled were less than 1 %, with larger differences observed for some models.
Overall the agreement among the models with and without refraction is better than has been previously reported in both scalar and vectorial modes.
Funder
Canadian Space Agency European Space Agency Universität Bremen Deutsche Forschungsgemeinschaft Academy of Finland
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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