Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 11
Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-8225-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-8225-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 11
Research article
 | 
12 Jun 2026
Research article |  | 12 Jun 2026

Correcting aerosol extinction coefficient vertical structure biases in GEOS-chem via a physics-informed transformer with physical mechanism diagnosis

Jiajun Xiong, Yi Wang, Jun Wang, Yanyu Wang, Meng Zhou, Minghui Tao, Wenhui Dong, Jhoon Kim, and Lunche Wang

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Short summary
Atmospheric models struggle to accurately map suspended particles at different altitudes. We developed an artificial intelligence tool using multiple data sources to correct these errors, generating precise three-dimensional maps. This approach successfully reduces biases across Asia and North America. Beyond simply correcting data, our tool helps scientists pinpoint physical flaws in existing models, directly guiding improvements for future climate and air quality research.
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