Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-15981-2022
© 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-22-15981-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations
James D. East
Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA
Oak Ridge Institute for Science and Education, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Barron H. Henderson
U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Sergey L. Napelenok
U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Shannon N. Koplitz
U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Golam Sarwar
U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Robert Gilliam
U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Allen Lenzen
Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA
Daniel Q. Tong
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
R. Bradley Pierce
Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA
Fernando Garcia-Menendez
CORRESPONDING AUTHOR
Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA
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- Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area Y. Chen et al. 10.5194/acp-24-8847-2024
- Assessment of surface ozone production in Qinghai, China with satellite-constrained VOCs and NOx emissions W. Li et al. 10.1016/j.scitotenv.2023.166602
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. 10.5194/acp-24-10921-2024
- Satellite-Based Estimation of Nitrous Oxide Concentration and Emission in a Large Estuary W. Fan et al. 10.1021/acs.est.4c09302
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8 citations as recorded by crossref.
- Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
- Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
- Spatiotemporal source apportionment of ozone pollution over the Greater Bay Area Y. Chen et al. 10.5194/acp-24-8847-2024
- Assessment of surface ozone production in Qinghai, China with satellite-constrained VOCs and NOx emissions W. Li et al. 10.1016/j.scitotenv.2023.166602
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. 10.5194/acp-24-10921-2024
- Satellite-Based Estimation of Nitrous Oxide Concentration and Emission in a Large Estuary W. Fan et al. 10.1021/acs.est.4c09302
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
1 citations as recorded by crossref.
Latest update: 30 Mar 2025
Short summary
We present a framework that uses a computer model of air quality, along with air pollution data from satellite instruments, to estimate emissions of nitrogen oxides (NOx) across the Northern Hemisphere. The framework, which advances current methods to infer emissions from satellite observations, provides observationally constrained NOx estimates, including in regions of the world where emissions are highly uncertain, and can improve simulations of air pollutants relevant for health and policy.
We present a framework that uses a computer model of air quality, along with air pollution data...
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