Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 20
Articles | Volume 25, issue 20
https://doi.org/10.5194/acp-25-13527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-13527-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 20
Research article
 | 
23 Oct 2025
Research article |  | 23 Oct 2025

Estimating surface sulfur dioxide concentrations from satellite data over eastern China: Using chemical transport models vs. machine learning

Zachary Watson, Can Li, Fei Liu, Sean W. Freeman, Huanxin Zhang, Jun Wang, and Shan-Hu Lee

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Short summary
Air pollutants like sulfur dioxide impact human health and the environment. Our work estimated surface sulfur dioxide concentrations from satellite data over eastern China. One method used atmospheric models, and another method used machine learning. We found that compared to measurements from an air quality monitoring network, both methods accurately captured the locations of sulfur dioxide, but the machine learning method was generally much more accurate in the estimated concentrations.
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