Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-4405-2026
https://doi.org/10.5194/acp-26-4405-2026
Research article
 | 
31 Mar 2026
Research article |  | 31 Mar 2026

Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates

Gerrit Kuhlmann, Erik Franciscus Maria Koene, Chloe Natasha Schooling, Paul Ian Palmer, Òscar Collado López, and Marc Guevara

Data sets

D1.2 Improved global point source emissions dataset M. Guevara et al. https://doi.org/10.5281/zenodo.17206511

CAMS global emission inventories Copernicus Atmosphere Monitoring Service https://doi.org/10.24381/1d158bec

TROPOMI Level 2 90 Nitrogen Dioxide total column products. Version 02 Copernicus Sentinel-5P (processed by ESA) https://doi.org/10.5270/S5P-9bnp8q8

ERA5 hourly data on pressure levels from 1940 to present Copernicus Climate Change Service https://doi.org/10.24381/cds.bd0915c6

ERA5 hourly data on single levels from 1940 to present Copernicus Climate Change Service https://doi.org/10.24381/cds.adbb2d47

Download
Short summary
We used satellite measurements of nitrogen dioxide (NO2) to estimate top-down nitrogen oxide (NOx) emissions from power plants in Europe and the United States. Our study shows that these observations can track seasonal and short-term changes in emissions and agree well with bottom-up estimates. This approach offers a promising way to monitor NOx and indirectly carbon dioxide (CO2) emissions, supporting anthropogenic emissions monitoring systems.
Share
Altmetrics
Final-revised paper
Preprint