Articles | Volume 24, issue 13
https://doi.org/10.5194/acp-24-7667-2024
© 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-24-7667-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2024
Research article |
| 05 Jul 2024
| 05 Jul 2024
A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations
Laboratory for Air Pollution/Environmental Technology, Empa, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Erik F. M. Koene
Laboratory for Air Pollution/Environmental Technology, Empa, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
Maarten Krol
Meteorology and Air Quality, Wageningen University & Research, Wageningen, the Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Dominik Brunner
Laboratory for Air Pollution/Environmental Technology, Empa, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
Alexander Damm
Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Surface Waters – Research and Management, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Laboratory for Air Pollution/Environmental Technology, Empa, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
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Cited
12 citations as recorded by crossref.
- Side-deep placement of controlled-release urea combined with alternate wetting and drying irrigation achieves sustainable intensification of rice production in the rice–wheat system Y. Wang et al. https://doi.org/10.1016/j.fcr.2025.110241
- NOx emissions constraints from GEMS NO2 retrievals: inversion methodology and air quality model evaluation in Bangkok using ASIA-AQ multi-platform observations J. Christopoulos et al. https://doi.org/10.5194/acp-26-8021-2026
- TROPOMI CO and NO2 as Observational Constraints on the Sources of Air Pollution Inequalities in US Cities X. Guo et al. https://doi.org/10.1021/acs.est.5c07455
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- Investigation of NO and NO2 Transformation in a Non-Thermal Plasma-Assisted SCR System with Cu/Al2O3 P. Neamyo et al. https://doi.org/10.1051/e3sconf/202567901012
- 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
- Bayesian denoising of satellite images using co-registered NO2 images E. Koene et al. https://doi.org/10.5194/amt-19-3999-2026
- Underappreciated Soil NOx Emissions Amplify Background O3 Pollution During Compound Dry-Hot Extremes in North China Z. Yang et al. https://doi.org/10.1021/acs.est.6c06361
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- TANGO CO2 and NO2 observations: synergistic usage to improve emission quantification and characterize atmospheric chemistry T. Borsdorff et al. https://doi.org/10.5194/amt-19-4617-2026
- New Perspective on Using Observational Uncertainty to Improve Reliability of NO x Emissions Over Northern China L. Lu et al. https://doi.org/10.1109/TGRS.2025.3620116
12 citations as recorded by crossref.
- Side-deep placement of controlled-release urea combined with alternate wetting and drying irrigation achieves sustainable intensification of rice production in the rice–wheat system Y. Wang et al. https://doi.org/10.1016/j.fcr.2025.110241
- NOx emissions constraints from GEMS NO2 retrievals: inversion methodology and air quality model evaluation in Bangkok using ASIA-AQ multi-platform observations J. Christopoulos et al. https://doi.org/10.5194/acp-26-8021-2026
- TROPOMI CO and NO2 as Observational Constraints on the Sources of Air Pollution Inequalities in US Cities X. Guo et al. https://doi.org/10.1021/acs.est.5c07455
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- Investigation of NO and NO2 Transformation in a Non-Thermal Plasma-Assisted SCR System with Cu/Al2O3 P. Neamyo et al. https://doi.org/10.1051/e3sconf/202567901012
- 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
- Bayesian denoising of satellite images using co-registered NO2 images E. Koene et al. https://doi.org/10.5194/amt-19-3999-2026
- Underappreciated Soil NOx Emissions Amplify Background O3 Pollution During Compound Dry-Hot Extremes in North China Z. Yang et al. https://doi.org/10.1021/acs.est.6c06361
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- TANGO CO2 and NO2 observations: synergistic usage to improve emission quantification and characterize atmospheric chemistry T. Borsdorff et al. https://doi.org/10.5194/amt-19-4617-2026
- New Perspective on Using Observational Uncertainty to Improve Reliability of NO x Emissions Over Northern China L. Lu et al. https://doi.org/10.1109/TGRS.2025.3620116
Saved (final revised paper)
Latest update: 20 Oct 2026
Short summary
Nitrogen oxides (NOx = NO + NO2) are important air pollutants. This study addresses the challenge of accurately estimating NOx emissions from NO2 satellite observations. We develop a realistic model to convert NO2 to NOx by using simulated plumes from various power plants. We apply the model to satellite NO2 observations, significantly reducing biases in estimated NOx emissions. The study highlights the potential for a consistent, high-resolution estimation of NOx emissions using satellite data.
Nitrogen oxides (NOx = NO + NO2) are important air pollutants. This study addresses the...
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