Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 13
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.
https://doi.org/10.5194/acp-24-7667-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 13
Research article
 | 
05 Jul 2024
Research article |  | 05 Jul 2024

A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations

Sandro Meier, Erik F. M. Koene, Maarten Krol, Dominik Brunner, Alexander Damm, and Gerrit Kuhlmann

Viewed

Total article views: 2,568 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,060 449 59 2,568 83 67 94
  • HTML: 2,060
  • PDF: 449
  • XML: 59
  • Total: 2,568
  • Supplement: 83
  • BibTeX: 67
  • EndNote: 94
Views and downloads (calculated since 23 Jan 2024)
Cumulative views and downloads (calculated since 23 Jan 2024)

Viewed (geographical distribution)

Total article views: 2,568 (including HTML, PDF, and XML) Thereof 2,568 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint