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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-44', Anonymous Referee #2, 01 May 2023
    • AC2: 'Reply on RC1', Jesse Loveridge, 26 Jun 2023
  • RC2: 'Comment on amt-2023-44', Anonymous Referee #1, 30 May 2023
    • AC1: 'Reply on RC2', Jesse Loveridge, 26 Jun 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 (26 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Jul 2023) by Alexander Kokhanovsky
AR by Jesse Loveridge on behalf of the Authors (05 Jul 2023)
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.