Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 22
Articles | Volume 17, issue 22
https://doi.org/10.5194/gmd-17-8181-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-8181-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 22
Model description paper
 | 
20 Nov 2024
Model description paper |  | 20 Nov 2024

A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 1: Land module for simulating emissions from synthetic fertilizer use

Jize Jiang, David S. Stevenson, and Mark A. Sutton

Viewed

Total article views: 736 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
543 157 36 736 66 20 21
  • HTML: 543
  • PDF: 157
  • XML: 36
  • Total: 736
  • Supplement: 66
  • BibTeX: 20
  • EndNote: 21
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads (calculated since 09 Apr 2024)

Viewed (geographical distribution)

Total article views: 736 (including HTML, PDF, and XML) Thereof 732 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
A special model called AMmonia–CLIMate (AMCLIM) has been developed to understand and calculate NH3 emissions from fertilizer use and also taking into account how the environment influences these NH3 emissions. It is estimated that about 17 % of applied N in fertilizers was lost due to NH3 emissions. Hot and dry conditions and regions with high-pH soils can expect higher NH3 emissions.
Read more