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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2020-1273', Anonymous Referee #1, 19 Jan 2021
  • RC2: 'Comment on acp-2020-1273', Anonymous Referee #2, 14 Feb 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yan Xiang on behalf of the Authors (07 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (02 Apr 2021) by Yves Balkanski
AR by Yan Xiang on behalf of the Authors (05 Apr 2021)  Author's response   Manuscript 
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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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