Articles | Volume 16, issue 5
Research article
07 Mar 2023
Research article |  | 07 Mar 2023

A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm

Joshua L. Laughner, Sébastien Roche, Matthäus Kiel, Geoffrey C. Toon, Debra Wunch, Bianca C. Baier, Sébastien Biraud, Huilin Chen, Rigel Kivi, Thomas Laemmel, Kathryn McKain, Pierre-Yves Quéhé, Constantina Rousogenous, Britton B. Stephens, Kaley Walker, and Paul O. Wennberg


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-267', Anonymous Referee #2, 08 Nov 2022
    • AC1: 'Reply on RC1', Josh Laughner, 10 Jan 2023
  • RC2: 'Comment on amt-2022-267', Anonymous Referee #1, 15 Nov 2022
    • AC2: 'Reply on RC2', Josh Laughner, 10 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Josh Laughner on behalf of the Authors (13 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Jan 2023) by Jian Xu
RR by Anonymous Referee #1 (01 Feb 2023)
ED: Publish as is (07 Feb 2023) by Jian Xu
AR by Josh Laughner on behalf of the Authors (13 Feb 2023)
Short summary
Observations using sunlight to measure surface-to-space total column of greenhouse gases in the atmosphere need an initial guess of the vertical distribution of those gases to start from. We have developed an approach to provide those initial guess profiles that uses readily available meteorological data as input. This lets us make these guesses without simulating them with a global model. The profiles generated this way match independent observations well.