Articles | Volume 25, issue 19
https://doi.org/10.5194/acp-25-12737-2025
https://doi.org/10.5194/acp-25-12737-2025
Research article
 | 
10 Oct 2025
Research article |  | 10 Oct 2025

Efficient use of a Lagrangian particle dispersion model for atmospheric inversions using satellite observations of column mixing ratios

Rona L. Thompson, Nalini Krishnankutty, Ignacio Pisso, Philipp Schneider, Kerstin Stebel, Motoki Sasakawa, Andreas Stohl, and Stephen M. Platt

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-147', Anonymous Referee #1, 20 Mar 2025
  • RC2: 'Comment on egusphere-2025-147', Anonymous Referee #2, 31 Mar 2025
  • RC3: 'Comment on egusphere-2025-147', Anonymous Referee #3, 08 Apr 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Rona Thompson on behalf of the Authors (12 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 May 2025) by Farahnaz Khosrawi
RR by Anonymous Referee #1 (04 Jun 2025)
RR by Anonymous Referee #3 (04 Jun 2025)
ED: Reconsider after major revisions (04 Jun 2025) by Farahnaz Khosrawi
AR by Rona Thompson on behalf of the Authors (09 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Jul 2025) by Farahnaz Khosrawi
AR by Rona Thompson on behalf of the Authors (18 Jul 2025)  Manuscript 
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Short summary
Satellite remote sensing of atmospheric mixing ratios of greenhouse gases (GHGs) can provide information on their emissions. This study presents a novel method to use atmospheric mixing ratios observed by satellites with a Lagrangian model of atmospheric transport to estimate GHG emissions. This method can reduce model errors resulting from how an observation is represented by an atmospheric model, thereby helping to reduce the errors in the GHG emissions derived.
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