Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6539-2024
https://doi.org/10.5194/acp-24-6539-2024
Research article
 | 
04 Jun 2024
Research article |  | 04 Jun 2024

Impact of weather patterns and meteorological factors on PM2.5 and O3 responses to the COVID-19 lockdown in China

Fuzhen Shen, Michaela I. Hegglin, and Yue Yuan

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Latest update: 31 Mar 2025
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Short summary
We attempt to use a novel structural self-organising map and machine learning models to identify a weather system and quantify the importance of each meteorological factor in driving the unexpected PM2.5 and O3 changes under the specific weather system during the COVID-19 lockdown in China. The result highlights that temperature under the double-centre high-pressure system plays the most crucial role in abnormal events.
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