Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 4
Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2291-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-2291-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 4
Research article
 | 
21 Feb 2025
Research article |  | 21 Feb 2025

Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method

Lingxiao Lu, Jason Blake Cohen, Kai Qin, Xiaolu Li, and Qin He

Supplement

https://doi.org/10.5194/acp-25-2291-2025-supplement

Data sets

Identifying Missing Sources and Reducing NOx Emissions Uncertainty over China using Daily Satellite Data and a Mass-Conserving Method Lingxiao Lu et al. https://doi.org/10.6084/m9.figshare.25014023.v1

RA5 hourly data on pressure levels from 1940 to present Copernicus https://doi.org/10.24381/cds.bd0915c6

TROPOMI PAL V02.03.01 NO2, S5P-PAL Data Portal NO2 S5P-PAL Data Portal https://data-portal.s5p-pal.com/

Sentinel-5P level 2 nitrogen dioxide (NO2) European Space Agency https://documentation.dataspace.copernicus.eu/Data/SentinelMissions/Sentinel5P.html#sentinel-5p-level-2-nitrogen-dioxide

Permit Data EPMAP https://data.epmap.org/product/permit

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Short summary
This study applies an approach that assimilates NO2 vertical column densities from TROPOMI in a mass-conserving manner and inverts daily NOx emissions, presented over rapidly changing regions in China. Source attribution is quantified by the local thermodynamics of the combustion temperature (NOx/NO2). Emission results identify sources which do not exist in the a priori datasets, especially medium industrial sources located next to the Yangtze River.
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