Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 16
Articles | Volume 16, issue 16
https://doi.org/10.5194/amt-16-3931-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-3931-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 16
Research article
 | 
29 Aug 2023
Research article |  | 29 Aug 2023

Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization

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

Data sets

AT3D-PART2: Stochastically Generated Clouds J. Loveridge https://doi.org/10.5281/zenodo.8270210

Model code and software

Atmospheric Tomography with 3D Radiative Transfer J. Loveridge, A. Levis, V. Holodovsky, and L. Forster https://doi.org/10.5281/zenodo.7025718

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 test a new method for measuring the 3D spatial variations of water within clouds, using measurements of reflections of the Sun's light observed at multiple angles by satellites. This is a great improvement on 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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