Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7443-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7443-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 11
Research article
 | 
10 Jun 2022
Research article |  | 10 Jun 2022

Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble

Shipra Jain, Ruth M. Doherty, David Sexton, Steven Turnock, Chaofan Li, Zixuan Jia, Zongbo Shi, and Lin Pei

Viewed

Total article views: 3,785 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,552 1,115 118 3,785 124 127
  • HTML: 2,552
  • PDF: 1,115
  • XML: 118
  • Total: 3,785
  • BibTeX: 124
  • EndNote: 127
Views and downloads (calculated since 11 Oct 2021)
Cumulative views and downloads (calculated since 11 Oct 2021)

Viewed (geographical distribution)

Total article views: 3,785 (including HTML, PDF, and XML) Thereof 3,785 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 Jun 2026
Download
Short summary
We provide a range of future projections of winter haze and clear conditions over the North China Plain (NCP) using multiple simulations from a climate model for the high-emission scenario (RCP8.5). The frequency of haze conducive weather is likely to increase whereas the frequency of clear weather is likely to decrease in future. The total number of hazy days for a given winter can be as much as ˜3.5 times higher than the number of clear days over the NCP.
Read more
Share
Altmetrics
Final-revised paper
Preprint