Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2291-2025
https://doi.org/10.5194/acp-25-2291-2025
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

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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

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Bauwens, M., Compernolle, S., Stavrakou, T., Müller, J. -F., Van Gent, J., Eskes, H., Levelt, P. F., Van Der A, R., Veefkind, J. P., Vlietinck, J., Yu, H., and Zehner, C.: Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations, Geophys. Res. Lett., 47, e2020GL087978, https://doi.org/10.1029/2020GL087978, 2020. 
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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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