Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 2
Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-851-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-851-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 2
Research article
 | 
19 Jan 2026
Research article |  | 19 Jan 2026

Tracking surface ozone responses to clean air actions under a warming climate in China using machine learning

Jie Fang, Yunjiang Zhang, Didier Hauglustaine, Bo Zheng, Ming Wang, Jingyi Li, Yong Sun, Haiwei Li, Junfeng Wang, Yun Wu, Bin Yuan, Mindong Chen, and Xinlei Ge

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Short summary
Surface ozone pollution is a pressing global challenge driven by human activities and a warming climate. Using nationwide observations (2013–2023) across China together with satellite data, we developed a new machine learning approach to decouple the impacts of emission controls and weather changes. Our results show that while emission reductions improved ozone in some regions, climate change is increasingly offsetting these gains, underscoring the need for joint air quality and climate actions.
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