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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-251', Anonymous Referee #3, 06 Dec 2022
    • AC1: 'Reply on RC1', Jesse Loveridge, 12 Jan 2023
  • RC2: 'Comment on amt-2022-251', Anonymous Referee #1, 17 Dec 2022
    • AC2: 'Reply on RC2', Jesse Loveridge, 12 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jesse Loveridge on behalf of the Authors (12 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Feb 2023) by Sebastian Schmidt
AR by Jesse Loveridge on behalf of the Authors (22 Feb 2023)  Manuscript 
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.