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.
Model description paper
| 
09 Feb 2023
Model description paper |
| 09 Feb 2023
| 09 Feb 2023
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
23 citations as recorded by crossref.
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. https://doi.org/10.5194/acp-23-15235-2023
- Ammonia emissions from agricultural products at high resolution across Europe X. Jin et al. https://doi.org/10.1038/s41597-025-05110-9
- High-resolution assessment reveals underestimated human health risks of ammonia emissions in China's pig production Y. Zhao et al. https://doi.org/10.1016/j.jclepro.2025.147038
- Global ammonia emission inversion in 2022 via assimilating IASI observations M. Chen et al. https://doi.org/10.1038/s44407-026-00072-7
- Ionic Composition and Deposition Loads of Rainwater According to Regional Characteristics of Agricultural Areas B. Oh et al. https://doi.org/10.3390/agriculture16010126
- Diagnostic Ratios and Isotopic Fingerprints of Vehicular Ammonia Across Emission Standards via Dynamometer Chassis Experiments Y. Chang et al. https://doi.org/10.1021/acs.est.5c11609
- Atmospheric Ammonia in Sweden: Regional Modeling and Assessment of National Emission Reduction Benefits R. Bergstr�m & T. Olenius https://doi.org/10.16993/tellusb.1881
- Higher tier estimation of ammonia emissions from synthetic nitrogen fertilizers in emission inventories: data collation, methodology and analysis N. Hutchings et al. https://doi.org/10.1016/j.jclepro.2025.147438
- Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications M. Cantillon et al. https://doi.org/10.1016/j.jenvman.2023.119904
- Global warming increases ammonia emissions and reduces the efficacy of mitigation actions J. Jiang et al. https://doi.org/10.1038/s43247-026-03404-3
- Specifying organic fertilizer composition in process-based models: overview of available data and sensitivity analysis with Biome-BGCMuSo K. Pokovai et al. https://doi.org/10.15201/hungeobull.75.1.3
- Ammonia Emissions and Crop Yields in Upland Fields Cultivating Chinese Cabbage and Potato Using Solid and Liquid Manure Compost O. Boldsaikhan et al. https://doi.org/10.1007/s11270-026-09292-9
- 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. https://doi.org/10.5194/gmd-18-5051-2025
- Spatiotemporal Evaluation of Biomass Burning Emissions in Equatorial Southeast Asia (ESEA) for 2013 and 2021 C. Hui et al. https://doi.org/10.1007/s44408-025-00057-3
- Uneven consequences of global climate mitigation pathways on regional water quality in the 21st century M. Lee et al. https://doi.org/10.1038/s41467-024-49866-x
- Global atmospheric inversion of the anthropogenic NH3 emissions over 2019–2022 using the LMDZ-INCA chemistry transport model and the IASI NH3 observations P. Kumar et al. https://doi.org/10.5194/acp-25-12379-2025
- Evaluating present-day and future impacts of agricultural ammonia emissions on atmospheric chemistry and climate M. Beaudor et al. https://doi.org/10.5194/acp-25-2017-2025
- Quantification and comparison of subnational and national agricultural nitrogen flows in Denmark and Sweden D. Grados et al. https://doi.org/10.1088/1748-9326/adca4a
- Dynamic emission inventory of ammonia in northern Italy by machine learning A. Marongiu et al. https://doi.org/10.1007/s11869-025-01779-4
- Surface Waters as a Potential Underestimated Source of Atmospheric Ammonia in the Athabasca Oil Sands Region of Alberta S. Watmough & C. Osborne https://doi.org/10.1007/s00128-025-04165-z
- Energy and nutrient composition and origin of common feed substrates for black soldier fly larvae determine their efficiency and life-stage-specific carbon dioxide and ammonia production M. Mielenz et al. https://doi.org/10.1016/j.biortech.2025.133812
- 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. https://doi.org/10.5194/gmd-17-8181-2024
- Mechanisms of microbial and functional gene influences on nitrogen cycle in pumping station forebays W. Song et al. https://doi.org/10.1016/j.wse.2026.02.003
23 citations as recorded by crossref.
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. https://doi.org/10.5194/acp-23-15235-2023
- Ammonia emissions from agricultural products at high resolution across Europe X. Jin et al. https://doi.org/10.1038/s41597-025-05110-9
- High-resolution assessment reveals underestimated human health risks of ammonia emissions in China's pig production Y. Zhao et al. https://doi.org/10.1016/j.jclepro.2025.147038
- Global ammonia emission inversion in 2022 via assimilating IASI observations M. Chen et al. https://doi.org/10.1038/s44407-026-00072-7
- Ionic Composition and Deposition Loads of Rainwater According to Regional Characteristics of Agricultural Areas B. Oh et al. https://doi.org/10.3390/agriculture16010126
- Diagnostic Ratios and Isotopic Fingerprints of Vehicular Ammonia Across Emission Standards via Dynamometer Chassis Experiments Y. Chang et al. https://doi.org/10.1021/acs.est.5c11609
- Atmospheric Ammonia in Sweden: Regional Modeling and Assessment of National Emission Reduction Benefits R. Bergstr�m & T. Olenius https://doi.org/10.16993/tellusb.1881
- Higher tier estimation of ammonia emissions from synthetic nitrogen fertilizers in emission inventories: data collation, methodology and analysis N. Hutchings et al. https://doi.org/10.1016/j.jclepro.2025.147438
- Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications M. Cantillon et al. https://doi.org/10.1016/j.jenvman.2023.119904
- Global warming increases ammonia emissions and reduces the efficacy of mitigation actions J. Jiang et al. https://doi.org/10.1038/s43247-026-03404-3
- Specifying organic fertilizer composition in process-based models: overview of available data and sensitivity analysis with Biome-BGCMuSo K. Pokovai et al. https://doi.org/10.15201/hungeobull.75.1.3
- Ammonia Emissions and Crop Yields in Upland Fields Cultivating Chinese Cabbage and Potato Using Solid and Liquid Manure Compost O. Boldsaikhan et al. https://doi.org/10.1007/s11270-026-09292-9
- 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. https://doi.org/10.5194/gmd-18-5051-2025
- Spatiotemporal Evaluation of Biomass Burning Emissions in Equatorial Southeast Asia (ESEA) for 2013 and 2021 C. Hui et al. https://doi.org/10.1007/s44408-025-00057-3
- Uneven consequences of global climate mitigation pathways on regional water quality in the 21st century M. Lee et al. https://doi.org/10.1038/s41467-024-49866-x
- Global atmospheric inversion of the anthropogenic NH3 emissions over 2019–2022 using the LMDZ-INCA chemistry transport model and the IASI NH3 observations P. Kumar et al. https://doi.org/10.5194/acp-25-12379-2025
- Evaluating present-day and future impacts of agricultural ammonia emissions on atmospheric chemistry and climate M. Beaudor et al. https://doi.org/10.5194/acp-25-2017-2025
- Quantification and comparison of subnational and national agricultural nitrogen flows in Denmark and Sweden D. Grados et al. https://doi.org/10.1088/1748-9326/adca4a
- Dynamic emission inventory of ammonia in northern Italy by machine learning A. Marongiu et al. https://doi.org/10.1007/s11869-025-01779-4
- Surface Waters as a Potential Underestimated Source of Atmospheric Ammonia in the Athabasca Oil Sands Region of Alberta S. Watmough & C. Osborne https://doi.org/10.1007/s00128-025-04165-z
- Energy and nutrient composition and origin of common feed substrates for black soldier fly larvae determine their efficiency and life-stage-specific carbon dioxide and ammonia production M. Mielenz et al. https://doi.org/10.1016/j.biortech.2025.133812
- 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. https://doi.org/10.5194/gmd-17-8181-2024
- Mechanisms of microbial and functional gene influences on nitrogen cycle in pumping station forebays W. Song et al. https://doi.org/10.1016/j.wse.2026.02.003
Saved (final revised paper)
Latest update: 13 Jun 2026
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...
