Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3953-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3953-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 May 2021
Research article |
| 28 May 2021
| 28 May 2021
Systematic comparison of vectorial spherical radiative transfer models in limb scattering geometry
Daniel Zawada
CORRESPONDING AUTHOR
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatchewan, Canada
Ghislain Franssens
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Robert Loughman
Department of Atmospheric and Planetary Sciences, Hampton University, Hampton, Virginia, USA
Antti Mikkonen
Finnish Meteorological Institute, Helsinki, Finland
Alexei Rozanov
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Claudia Emde
Meteorological Institute, Ludwig-Maximilians-Universität, Munich, Germany
Adam Bourassa
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatchewan, Canada
Seth Dueck
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatchewan, Canada
Hannakaisa Lindqvist
Finnish Meteorological Institute, Helsinki, Finland
Didier Ramon
HYGEOS, Lille, France
Vladimir Rozanov
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Emmanuel Dekemper
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Erkki Kyrölä
Finnish Meteorological Institute, Helsinki, Finland
John P. Burrows
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Didier Fussen
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Doug Degenstein
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatchewan, Canada
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12 citations as recorded by crossref.
- A Glimpse of Ocean Color Remote Sensing From Moon-Based Earth Observations H. Liu et al. 10.1109/TGRS.2022.3168937
- Validation of the polarized Monte Carlo model of shipborne oceanic lidar returns H. He et al. 10.1364/OE.511445
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- Modeling Atmospheric Lines by the Exoplanet Community (MALBEC) Version 1.0: A CUISINES Radiative Transfer Intercomparison Project G. Villanueva et al. 10.3847/PSJ/ad2681
- Polarized radiative transfer: Monte Carlo code Ventspils RTMC. Testing of it and RADMC3D J. Freimanis & R. Peženkovs 10.1016/j.jqsrt.2023.108811
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
- Numerical results for polarized light scattering in a spherical atmosphere S. Korkin et al. 10.1016/j.jqsrt.2022.108194
- Scattering direction sampling methods for polarized Monte Carlo simulation of oceanic lidar H. He et al. 10.1364/AO.494894
- A practical guide to writing a radiative transfer code S. Korkin et al. 10.1016/j.cpc.2021.108198
- Non-Lambertian snow surface reflection models for simulated top-of-the-atmosphere radiances in the NIR and SWIR wavelengths A. Mikkonen et al. 10.1016/j.jqsrt.2023.108892
2 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
Satellite measurements of atmospheric composition often rely on computer tools known as radiative transfer models to model the propagation of sunlight within the atmosphere. Here we have performed a detailed inter-comparison of seven different radiative transfer models in a variety of conditions. We have found that the models agree remarkably well, at a level better than previously reported. This result provides confidence in our understanding of atmospheric radiative transfer.
Satellite measurements of atmospheric composition often rely on computer tools known as...
