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

Viewed

Total article views: 1,459 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,128 299 32 1,459 14 17
  • HTML: 1,128
  • PDF: 299
  • XML: 32
  • Total: 1,459
  • BibTeX: 14
  • EndNote: 17
Views and downloads (calculated since 17 Mar 2022)
Cumulative views and downloads (calculated since 17 Mar 2022)

Viewed (geographical distribution)

Total article views: 1,459 (including HTML, PDF, and XML) Thereof 1,501 with geography defined and -42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Feb 2024
Download
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.
Altmetrics
Final-revised paper
Preprint