Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11429-2022
https://doi.org/10.5194/acp-22-11429-2022
Research article
 | 
06 Sep 2022
Research article |  | 06 Sep 2022

Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing–Tianjin–Hebei region

Lichao Yang, Wansuo Duan, Zifa Wang, and Wenyi Yang

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on acp-2022-77', Youmin Tang, 02 May 2022
    • AC3: 'Reply on CC1', Wansuo Duan, 06 Jul 2022
  • RC1: 'Comment on acp-2022-77', Anonymous Referee #1, 09 May 2022
    • AC1: 'Reply on RC1', Wansuo Duan, 06 Jul 2022
  • RC2: 'Comment on acp-2022-77', Anonymous Referee #2, 09 May 2022
    • AC2: 'Reply on RC2', Wansuo Duan, 06 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Wansuo Duan on behalf of the Authors (01 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Aug 2022) by Rob MacKenzie
RR by Anonymous Referee #2 (01 Aug 2022)
ED: Publish subject to technical corrections (12 Aug 2022) by Rob MacKenzie
AR by Wansuo Duan on behalf of the Authors (18 Aug 2022)  Author's response    Manuscript
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Short summary
The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional observations is an effective way to improve the accuracy of the initial meteorological state. Here we used an advanced optimization approach to identify where we should preferentially place the meteorological observations associated with PM2.5 forecasts in the Beijing–Tianjin–Hebei region of China. We provide evidence that the target observation strategy is effective for improving PM2.5 forecasts.
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