Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 17
Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11173-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-11173-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 17
Research article
 | 
01 Sep 2022
Research article |  | 01 Sep 2022

Predicting gridded winter PM2.5 concentration in the east of China

Zhicong Yin, Mingkeng Duan, Yuyan Li, Tianbao Xu, and Huijun Wang

Supplement

https://doi.org/10.5194/acp-22-11173-2022-supplement

Data sets

Sea surface temperature data Met Office Hadley Centre https://www.metoffice.gov.uk/hadobs/hadisst/

Meteorological data ERA5 https://cds.climate.copernicus.eu/\#!/search?text=ERA5&type=dataset

Anthropogenic emissions data in China MEIC http://www.meicmodel.org/

PM2.5 monitoring network CNEMC https://www.aqistudy.cn/historydata/

The dataset of Tracking Air Pollution in China TAP http://tapdata.org.cn/

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Short summary
The PM2.5 concentration has been greatly reduced in recent years in China and has entered a crucial stage that required fine seasonal prediction. However, there is still no study aimed at predicting gridded PM2.5 concentration. A model for seasonal prediction of gridded winter PM2.5 concentration in the east of China was developed by analyzing the contributions of emissions and climate variability, which could provide scientific support for air pollution control at the regional and city levels.
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