Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-1497-2026
https://doi.org/10.5194/acp-26-1497-2026
Research article
 | 
29 Jan 2026
Research article |  | 29 Jan 2026

An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023

Alba Mols, Klaas Folkert Boersma, Hugo Denier van der Gon, and Maarten Krol

Data sets

Daily NOx emissions and lifetimes from Paris between May 2018 and July 2023 inferred from TROPOMI A. Mols and K. F. Boersma https://doi.org/10.5281/zenodo.14893825

Copernicus Atmosphere Monitoring Service regional emissions version 4.2 (CAMS-REG-v4.2) J. Kuenen et al. https://doi.org/10.24380/0vzb-a387

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Short summary
We created a new method to estimate city air pollution (NOx emissions) using satellite data. Testing showed our approach works well to track how pollution spreads in urban areas. By combining observations with prior knowledge, we improved the accuracy of emission estimates. Applying this method in Paris, we found emissions were 9 % lower than expected and dropped significantly during COVID-19 lockdowns. Our method offers a reliable way to monitor pollution and support environmental policies.
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