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

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

doi:https://doi.org/10.5194/gmd-17-8181-2024

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

Supplement

https://doi.org/10.5194/gmd-17-8181-2024-supplement

Data sets

Data supporting the manuscript "A dynamical process-based model AMmonia–CLIMate (AMCLIM) for quantifying global agricultural ammonia emissions – Part 1: Land module for simulating emissions from synthetic fertilizer use" Jize Jiang et al. https://doi.org/10.7488/ds/7710

Model code and software

AMmonia-CLIMate (AMCLIM) v1.0 Jize Jiang https://doi.org/10.5281/zenodo.10911886

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.