Articles | Volume 18, issue 8
https://doi.org/10.5194/acp-18-5343-2018
https://doi.org/10.5194/acp-18-5343-2018
Research article
 | 
19 Apr 2018
Research article |  | 19 Apr 2018

Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective

Ziyue Chen, Xiaoming Xie, Jun Cai, Danlu Chen, Bingbo Gao, Bin He, Nianliang Cheng, and Bing Xu

Data sets

China National Environmental Monitoring Center China National Environmental Monitoring Center http://pm25.in/

China Meteorological Data Sharing Service System China Meteorological Data Sharing Service System http://www.cma.gov.cn/2011qxfw/2011qsjgx/

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Short summary
With an advanced causality analysis method CCM, we quantified the influence of individual meteorological factors on PM2.5 concentrations and revealed notable spatial and temporal variations of meteorological influences on PM2.5 concentrations across China. Temperature, humidity and wind exert the strongest influences on PM2.5 concentrations in most cities across China. Given the notable spatial variations, meteorological means for reducing PM2.5 concentrations should be designed accordingly.
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