Articles | Volume 19, issue 18
https://doi.org/10.5194/acp-19-12051-2019
© Author(s) 2019. 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-19-12051-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating global surface ammonia concentrations inferred from satellite retrievals
Lei Liu
CORRESPONDING AUTHOR
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou, 730000, China
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Department of Earth and Environment, Boston University, Boston,
Massachusetts, USA
Xiuying Zhang
CORRESPONDING AUTHOR
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Anthony Y. H. Wong
Department of Earth and Environment, Boston University, Boston,
Massachusetts, USA
College of Resources and Environmental Sciences, Centre for
Resources, Environment and Food Security, Key Lab of Plant-Soil Interactions
of MOE, China Agricultural University, Beijing, 100193, China
Xuejun Liu
College of Resources and Environmental Sciences, Centre for
Resources, Environment and Food Security, Key Lab of Plant-Soil Interactions
of MOE, China Agricultural University, Beijing, 100193, China
Chief Technology Officer SailBri Cooper Inc., Beaverton, Oregon, 97008, USA
Huan Mi
Department of Earth and Environment, Boston University, Boston,
Massachusetts, USA
College of Surveying and Geo-Informatics, Tongji University, 1239
Siping Road, Shanghai, China
Xuehe Lu
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Limin Zhao
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Zhen Wang
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Xiaodi Wu
International Institute for Earth System Science, Nanjing University,
Nanjing, 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, 210023, China
State Key Laboratory of Remote Sensing Science, College of Global
Change and Earth System Science, Beijing Normal University, Beijing, China
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Cited
13 citations as recorded by crossref.
- Global estimates of dry ammonia deposition inferred from space-measurements L. Liu et al. 10.1016/j.scitotenv.2020.139189
- Global, regional and national trends of atmospheric ammonia derived from a decadal (2008–2018) satellite record M. Van Damme et al. 10.1088/1748-9326/abd5e0
- Ammonia Emissions from Mudflats of River, Lake, and Sea Y. Chang et al. 10.1021/acsearthspacechem.0c00017
- Fall of oxidized while rise of reduced reactive nitrogen deposition in China L. Liu et al. 10.1016/j.jclepro.2020.122875
- Elucidating the pollution characteristics of nitrate, sulfate and ammonium in PM<sub>2.5</sub> in Chengdu, southwest China, based on 3-year measurements L. Kong et al. 10.5194/acp-20-11181-2020
- Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches J. Fu et al. 10.1021/acs.est.1c05929
- Northwestward cropland expansion and growing urea-based fertilizer use enhanced NH<sub>3</sub> emission loss in the contiguous United States P. Cao et al. 10.5194/acp-20-11907-2020
- Dry deposition of ammonia around paddy fields in the subtropical hilly area in southern China Y. YI et al. 10.1080/16742834.2020.1738208
- Global Wet‐Reduced Nitrogen Deposition Derived From Combining Satellite Measurements With Output From a Chemistry Transport Model L. Liu et al. 10.1029/2020JD033977
- A chronology of global air quality D. Fowler et al. 10.1098/rsta.2019.0314
- Improved gridded ammonia emission inventory in China B. Li et al. 10.5194/acp-21-15883-2021
- Evaluation of global EMEP MSC-W (rv4.34) WRF (v3.9.1.1) model surface concentrations and wet deposition of reactive N and S with measurements Y. Ge et al. 10.5194/gmd-14-7021-2021
- Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals L. Liu et al. 10.5194/acp-20-8641-2020
12 citations as recorded by crossref.
- Global estimates of dry ammonia deposition inferred from space-measurements L. Liu et al. 10.1016/j.scitotenv.2020.139189
- Global, regional and national trends of atmospheric ammonia derived from a decadal (2008–2018) satellite record M. Van Damme et al. 10.1088/1748-9326/abd5e0
- Ammonia Emissions from Mudflats of River, Lake, and Sea Y. Chang et al. 10.1021/acsearthspacechem.0c00017
- Fall of oxidized while rise of reduced reactive nitrogen deposition in China L. Liu et al. 10.1016/j.jclepro.2020.122875
- Elucidating the pollution characteristics of nitrate, sulfate and ammonium in PM<sub>2.5</sub> in Chengdu, southwest China, based on 3-year measurements L. Kong et al. 10.5194/acp-20-11181-2020
- Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches J. Fu et al. 10.1021/acs.est.1c05929
- Northwestward cropland expansion and growing urea-based fertilizer use enhanced NH<sub>3</sub> emission loss in the contiguous United States P. Cao et al. 10.5194/acp-20-11907-2020
- Dry deposition of ammonia around paddy fields in the subtropical hilly area in southern China Y. YI et al. 10.1080/16742834.2020.1738208
- Global Wet‐Reduced Nitrogen Deposition Derived From Combining Satellite Measurements With Output From a Chemistry Transport Model L. Liu et al. 10.1029/2020JD033977
- A chronology of global air quality D. Fowler et al. 10.1098/rsta.2019.0314
- Improved gridded ammonia emission inventory in China B. Li et al. 10.5194/acp-21-15883-2021
- Evaluation of global EMEP MSC-W (rv4.34) WRF (v3.9.1.1) model surface concentrations and wet deposition of reactive N and S with measurements Y. Ge et al. 10.5194/gmd-14-7021-2021
Latest update: 25 Mar 2023
Short summary
Agricultural production has greatly increased emissions of ammonia (NH3) to the atmosphere. Sparse measurements of surface NH3 concentrations make it challenging and difficult to understand the global distribution of surface NH3 concentrations in both time and space. Estimating surface NH3 concentrations is critically important for modeling the dry deposition of NH3, which has important impacts on the natural environment. This paper provides the satellite-based global assessment of surface NH3.
Agricultural production has greatly increased emissions of ammonia (NH3) to the atmosphere....
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