Articles | Volume 16, issue 6
https://doi.org/10.5194/amt-16-1745-2023
https://doi.org/10.5194/amt-16-1745-2023
Research article
 | 
31 Mar 2023
Research article |  | 31 Mar 2023

Accounting for meteorological biases in simulated plumes using smarter metrics

Pierre J. Vanderbecken, Joffrey Dumont Le Brazidec, Alban Farchi, Marc Bocquet, Yelva Roustan, Élise Potier, and Grégoire Broquet

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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 amt-2022-226', Anonymous Referee #2, 09 Nov 2022
    • AC1: 'Reply on RC1', Pierre Vanderbecken, 07 Jan 2023
  • RC2: 'Comment on amt-2022-226', Anonymous Referee #1, 21 Nov 2022
    • AC2: 'Reply on RC2', Pierre Vanderbecken, 07 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Pierre Vanderbecken on behalf of the Authors (07 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (04 Feb 2023) by Lok Lamsal
AR by Pierre Vanderbecken on behalf of the Authors (13 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Feb 2023) by Lok Lamsal
AR by Pierre Vanderbecken on behalf of the Authors (20 Feb 2023)  Author's response   Manuscript 
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Short summary
Instruments dedicated to monitoring atmospheric gaseous compounds from space will provide images of urban-scale plumes. We discuss here the use of new metrics to compare observed plumes with model predictions that will be less sensitive to meteorology uncertainties. We have evaluated our metrics on diverse plumes and shown that by eliminating some aspects of the discrepancies, they are indeed less sensitive to meteorological variations.