Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-1053-2023
https://doi.org/10.5194/gmd-16-1053-2023
Model description paper
 | 
09 Feb 2023
Model description paper |  | 09 Feb 2023

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine

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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-2022-626', Anonymous Referee #1, 23 Oct 2022
    • AC1: 'Reply on RC1', Maureen Beaudor, 12 Dec 2022
  • RC2: 'Comment on egusphere-2022-626', Anonymous Referee #2, 04 Nov 2022
    • AC2: 'Reply on RC2', Maureen Beaudor, 12 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Maureen Beaudor on behalf of the Authors (12 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (18 Dec 2022) by Jinkyu Hong
RR by Anonymous Referee #1 (05 Jan 2023)
ED: Publish subject to minor revisions (review by editor) (14 Jan 2023) by Jinkyu Hong
AR by Maureen Beaudor on behalf of the Authors (20 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (24 Jan 2023) by Jinkyu Hong
AR by Maureen Beaudor on behalf of the Authors (24 Jan 2023)  Manuscript 
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Short summary
Ammonia mainly comes from the agricultural sector, and its volatilization relies on environmental variables. Our approach aims at benefiting from an Earth system model framework to estimate it. By doing so, we represent a consistent spatial distribution of the emissions' response to environmental changes. We greatly improved the seasonal cycle of emissions compared with previous work. In addition, our model includes natural soil emissions (that are rarely represented in modeling approaches).