Articles | Volume 24, issue 6
https://doi.org/10.5194/acp-24-3717-2024
© Author(s) 2024. 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-24-3717-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2024
Research article |
| 25 Mar 2024
| 25 Mar 2024
High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns
Goddard Earth Sciences Technology and Research (GESTAR) II, Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Steffen Beirle
Satellite Remote Sensing Group, Max-Planck-Institut für Chemie, 55128 Mainz, Germany
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Sungyeon Choi
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications Inc., Lanham, MD 20706, USA
Zhining Tao
Goddard Earth Sciences Technology and Research (GESTAR) II, Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
K. Emma Knowland
Goddard Earth Sciences Technology and Research (GESTAR) II, Morgan State University, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Steven J. Smith
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Daniel Q. Tong
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
Siqi Ma
Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
Zachary T. Fasnacht
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications Inc., Lanham, MD 20706, USA
Thomas Wagner
Satellite Remote Sensing Group, Max-Planck-Institut für Chemie, 55128 Mainz, Germany
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Cited
13 citations as recorded by crossref.
- Cycling of Gaseous Reactive Nitrogen Oxides and Its Role in Driving Secondary Pollution S. Wang et al. https://doi.org/10.1021/acs.est.5c11062
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Spatial Quantification of Urban Environmental Stress Through Scale-Aware Multi-Indicator Integration M. Khan et al. https://doi.org/10.3390/land15060981
- Direct sun total NO2 column measurements at Thessaloniki, Greece with two DOAS systems and comparisons with S5P/TROPOMI D. Nikolis et al. https://doi.org/10.1016/j.atmosenv.2025.121161
- Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. https://doi.org/10.1021/acsestair.4c00097
- Satellite-Based Estimation of Urban CO2 Emissions in Shandong Province, China, Using TROPOMI NO2 Observations and Differential Evolution Algorithm Y. Xie et al. https://doi.org/10.3390/rs18101470
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- Air-pollution-satellite-based CO2 emission inversion: system evaluation, sensitivity analysis, and future research direction H. Li et al. https://doi.org/10.5194/acp-25-1949-2025
- Triple-platform validation of TROPOMI v2.4 NO2 retrievals: Quantifying surface albedo-driven changes across monsoon-vegetation regimes J. Gu et al. https://doi.org/10.1016/j.envres.2025.122655
- A spatiotemporal analysis of air pollutants during and after COVID-19: A case study of Dhaka Division using Google Earth Engine M. Hossin et al. https://doi.org/10.30493/das.2025.500496
- Long-Range Transport and Potential Source Contributions of Atmospheric NO2 over Yeosu, South Korea S. Lee et al. https://doi.org/10.5572/KOSAE.2026.42.1.123
- Advances and challenges of machine learning in satellite-based atmospheric NO2 monitoring R. Zhang et al. https://doi.org/10.1016/j.apr.2026.103066
- Open Air Quality Data Platforms for Environmental Health Research and Action C. Rosales et al. https://doi.org/10.1007/s40572-025-00487-6
13 citations as recorded by crossref.
- Cycling of Gaseous Reactive Nitrogen Oxides and Its Role in Driving Secondary Pollution S. Wang et al. https://doi.org/10.1021/acs.est.5c11062
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Spatial Quantification of Urban Environmental Stress Through Scale-Aware Multi-Indicator Integration M. Khan et al. https://doi.org/10.3390/land15060981
- Direct sun total NO2 column measurements at Thessaloniki, Greece with two DOAS systems and comparisons with S5P/TROPOMI D. Nikolis et al. https://doi.org/10.1016/j.atmosenv.2025.121161
- Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. https://doi.org/10.1021/acsestair.4c00097
- Satellite-Based Estimation of Urban CO2 Emissions in Shandong Province, China, Using TROPOMI NO2 Observations and Differential Evolution Algorithm Y. Xie et al. https://doi.org/10.3390/rs18101470
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- Air-pollution-satellite-based CO2 emission inversion: system evaluation, sensitivity analysis, and future research direction H. Li et al. https://doi.org/10.5194/acp-25-1949-2025
- Triple-platform validation of TROPOMI v2.4 NO2 retrievals: Quantifying surface albedo-driven changes across monsoon-vegetation regimes J. Gu et al. https://doi.org/10.1016/j.envres.2025.122655
- A spatiotemporal analysis of air pollutants during and after COVID-19: A case study of Dhaka Division using Google Earth Engine M. Hossin et al. https://doi.org/10.30493/das.2025.500496
- Long-Range Transport and Potential Source Contributions of Atmospheric NO2 over Yeosu, South Korea S. Lee et al. https://doi.org/10.5572/KOSAE.2026.42.1.123
- Advances and challenges of machine learning in satellite-based atmospheric NO2 monitoring R. Zhang et al. https://doi.org/10.1016/j.apr.2026.103066
- Open Air Quality Data Platforms for Environmental Health Research and Action C. Rosales et al. https://doi.org/10.1007/s40572-025-00487-6
Saved (final revised paper)
Latest update: 06 Aug 2026
Short summary
Using satellite data, we developed a coupled method independent of the chemical transport model to map NOx emissions across US cities. After validating our technique with synthetic data, we charted NOx emissions from 2018–2021 in 39 cities. Our results closely matched EPA estimates but also highlighted some inconsistencies in both magnitude and spatial distribution. This research can help refine strategies for monitoring and managing air quality.
Using satellite data, we developed a coupled method independent of the chemical transport model...
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