Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-1053-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-1053-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model
Maureen Beaudor
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Nicolas Vuichard
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Juliette Lathière
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Nikolaos Evangeliou
Department of Atmospheric and Climate Research (ATMOS), Norwegian Institute for Air Research (NILU), Kjeller, Norway
Martin Van Damme
Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels, Belgium
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Lieven Clarisse
Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels, Belgium
Didier Hauglustaine
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA–CNRS–UVSQ, Gif-sur-Yvette, France
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Cited
10 citations as recorded by crossref.
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications M. Cantillon et al. 10.1016/j.jenvman.2023.119904
- Evaluating present-day and future impacts of agricultural ammonia emissions on atmospheric chemistry and climate M. Beaudor et al. 10.5194/acp-25-2017-2025
- Quantification and comparison of subnational and national agricultural nitrogen flows in Denmark and Sweden D. Grados et al. 10.1088/1748-9326/adca4a
- Dynamic emission inventory of ammonia in northern Italy by machine learning A. Marongiu et al. 10.1007/s11869-025-01779-4
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming J. Jiang et al. 10.5194/gmd-18-5051-2025
- Uneven consequences of global climate mitigation pathways on regional water quality in the 21st century M. Lee et al. 10.1038/s41467-024-49866-x
- 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 J. Jiang et al. 10.5194/gmd-17-8181-2024
- Evaluating present-day and future impacts of agricultural ammonia emissions on atmospheric chemistry and climate M. Beaudor et al. 10.5194/acp-25-2017-2025
- Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model M. Beaudor et al. 10.5194/gmd-16-1053-2023
8 citations as recorded by crossref.
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications M. Cantillon et al. 10.1016/j.jenvman.2023.119904
- Evaluating present-day and future impacts of agricultural ammonia emissions on atmospheric chemistry and climate M. Beaudor et al. 10.5194/acp-25-2017-2025
- Quantification and comparison of subnational and national agricultural nitrogen flows in Denmark and Sweden D. Grados et al. 10.1088/1748-9326/adca4a
- Dynamic emission inventory of ammonia in northern Italy by machine learning A. Marongiu et al. 10.1007/s11869-025-01779-4
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming J. Jiang et al. 10.5194/gmd-18-5051-2025
- Uneven consequences of global climate mitigation pathways on regional water quality in the 21st century M. Lee et al. 10.1038/s41467-024-49866-x
- 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 J. Jiang et al. 10.5194/gmd-17-8181-2024
2 citations as recorded by crossref.
Latest update: 24 Aug 2025
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).
Ammonia mainly comes from the agricultural sector, and its volatilization relies on...