Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 7
Articles | Volume 16, issue 7
https://doi.org/10.5194/amt-16-1803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-1803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 7
Research article
 | 
05 Apr 2023
Research article |  | 05 Apr 2023

Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation

Jesse Loveridge, Aviad Levis, Larry Di Girolamo, Vadim Holodovsky, Linda Forster, Anthony B. Davis, and Yoav Y. Schechner

Model code and software

Atmospheric Tomography with 3D Radiative Transfer J. Loveridge, A. Levis, A. Aides, L. Forster, and V. Holodovsky https://doi.org/10.5281/zenodo.7062466

Atmospheric Tomography with 3D Radiative Transfer J. Loveridge, A. Levis, V. Holodovsky, and L. Forster https://github.com/CloudTomography/AT3D

Spherical Harmonics Discrete Ordinate Method K. F. Evans https://nit.coloradolinux.com/~evans/shdom/shdom.tar.gz

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Short summary
We describe a new method for measuring the 3D spatial variations in water within clouds using the reflected light of the Sun viewed at multiple different angles by satellites. This is a great improvement over older methods, which typically assume that clouds occur in a slab shape. Our study used computer modeling to show that our 3D method will work well in cumulus clouds, where older slab methods do not. Our method will inform us about these clouds and their role in our climate.
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