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

Viewed

Total article views: 3,472 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,774 629 69 3,472 141 59 55
  • HTML: 2,774
  • PDF: 629
  • XML: 69
  • Total: 3,472
  • Supplement: 141
  • BibTeX: 59
  • EndNote: 55
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,472 (including HTML, PDF, and XML) Thereof 3,340 with geography defined and 132 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Feb 2025
Download
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).
Share