Articles | Volume 21, issue 9
https://doi.org/10.5194/acp-21-7023-2021
https://doi.org/10.5194/acp-21-7023-2021
Research article
 | 
07 May 2021
Research article |  | 07 May 2021

Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain

Yan Xiang, Tianshu Zhang, Chaoqun Ma, Lihui Lv, Jianguo Liu, Wenqing Liu, and Yafang Cheng

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This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Cited articles

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Short summary
For the first time, a vertical observation network consisting of 13 aerosol lidars and more than 1000 ground observation stations were combined with a data assimilation technique to reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations during extreme heavy aerosol pollution on the North China Plain.
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