Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-10375-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-10375-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2022
Research article |
| 12 Aug 2022
| 12 Aug 2022
Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018
Key Laboratory of Coastal Environment and Resources of Zhejiang
Province, School of Engineering, Westlake University, Hangzhou 310024, Zhejiang
Province, China
Institute of Advanced Technology, Westlake Institute for Advanced
Study, Hangzhou 310024, Zhejiang Province, China
Yuzhong Zhang
CORRESPONDING AUTHOR
Key Laboratory of Coastal Environment and Resources of Zhejiang
Province, School of Engineering, Westlake University, Hangzhou 310024, Zhejiang
Province, China
Institute of Advanced Technology, Westlake Institute for Advanced
Study, Hangzhou 310024, Zhejiang Province, China
Wei Chen
Key Laboratory of Coastal Environment and Resources of Zhejiang
Province, School of Engineering, Westlake University, Hangzhou 310024, Zhejiang
Province, China
Institute of Advanced Technology, Westlake Institute for Advanced
Study, Hangzhou 310024, Zhejiang Province, China
Martin Van Damme
Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), 1050 Brussels, Belgium
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium
Pierre-François Coheur
Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), 1050 Brussels, Belgium
Lieven Clarisse
Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), 1050 Brussels, Belgium
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Cited
13 citations as recorded by crossref.
- Satellite Support to Estimate Livestock Ammonia Emissions: A Case Study in Hebei, China P. Liu et al. 10.3390/atmos13101552
- Interannual variability of atmospheric ammonia over the Sichuan Basin, southwestern China: Trend, sources, and implications on particle matter control X. Yang et al. 10.1016/j.atmosres.2023.107170
- Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
- Fertilizer management for global ammonia emission reduction P. Xu et al. 10.1038/s41586-024-07020-z
- A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data R. Abeed et al. 10.5194/acp-23-12505-2023
- Anthropogenic-driven perturbations on nitrogen cycles and interactions with climate changes C. Gong et al. 10.1016/j.cogsc.2024.100897
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- The First Global Map of Atmospheric Ammonia (NH3) as Observed by the HIRAS/FY-3D Satellite M. Zhou et al. 10.1007/s00376-023-3059-9
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- The heterogeneous reactions of toluene/O3/NH3 on hematite nanoparticles: the impact of light illumination on organic ammonium salt formation X. Liu et al. 10.1039/D3EN00625E
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Sources, Variations, and Effects on Air Quality of Atmospheric Ammonia Z. Lan et al. 10.1007/s40726-023-00291-6
- Significant Increase in Ammonia Emissions in China: Considering Nonagricultural Sectors Based on Isotopic Source Apportionment F. Yan et al. 10.1021/acs.est.3c07222
13 citations as recorded by crossref.
- Satellite Support to Estimate Livestock Ammonia Emissions: A Case Study in Hebei, China P. Liu et al. 10.3390/atmos13101552
- Interannual variability of atmospheric ammonia over the Sichuan Basin, southwestern China: Trend, sources, and implications on particle matter control X. Yang et al. 10.1016/j.atmosres.2023.107170
- Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
- Fertilizer management for global ammonia emission reduction P. Xu et al. 10.1038/s41586-024-07020-z
- A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data R. Abeed et al. 10.5194/acp-23-12505-2023
- Anthropogenic-driven perturbations on nitrogen cycles and interactions with climate changes C. Gong et al. 10.1016/j.cogsc.2024.100897
- Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. 10.5194/acp-23-15235-2023
- The First Global Map of Atmospheric Ammonia (NH3) as Observed by the HIRAS/FY-3D Satellite M. Zhou et al. 10.1007/s00376-023-3059-9
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- The heterogeneous reactions of toluene/O3/NH3 on hematite nanoparticles: the impact of light illumination on organic ammonium salt formation X. Liu et al. 10.1039/D3EN00625E
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Sources, Variations, and Effects on Air Quality of Atmospheric Ammonia Z. Lan et al. 10.1007/s40726-023-00291-6
- Significant Increase in Ammonia Emissions in China: Considering Nonagricultural Sectors Based on Isotopic Source Apportionment F. Yan et al. 10.1021/acs.est.3c07222
Latest update: 25 Apr 2024
Short summary
We quantify global ammonia (NH3) emissions over the period from 2008 to 2018 using an improved fast top-down method that incorporates Infrared Atmospheric
Sounding Interferometer (IASI) satellite observations and GEOS-Chem atmospheric chemical simulations. The top-down analysis finds a global total NH3 emission that is 30 % higher than the bottom-up estimate, largely reconciling a large discrepancy of more than a factor of 2 found in previous top-down studies using the same satellite data.
We quantify global ammonia (NH3) emissions over the period from 2008 to 2018 using an improved...
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