Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 23
Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15207-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-15207-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 23
Research article
 | 
30 Nov 2022
Research article |  | 30 Nov 2022

Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China

Wenjie Zhang, Hong Wang, Xiaoye Zhang, Liping Huang, Yue Peng, Zhaodong Liu, Xiao Zhang, and Huizheng Che

Viewed

Total article views: 2,095 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,517 513 65 2,095 155 41 64
  • HTML: 1,517
  • PDF: 513
  • XML: 65
  • Total: 2,095
  • Supplement: 155
  • BibTeX: 41
  • EndNote: 64
Views and downloads (calculated since 05 Jul 2022)
Cumulative views and downloads (calculated since 05 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,095 (including HTML, PDF, and XML) Thereof 2,049 with geography defined and 46 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
Aerosol–cloud interaction (ACI) is first implemented in the atmospheric chemistry system GRAPES_Meso5.1/CUACE. ACI can improve the simulated cloud, temperature, and precipitation under haze pollution conditions in Jing-Jin-Ji in China. This paper demonstrates the critical role of ACI in current numerical weather prediction over the severely polluted region.
Read more
Altmetrics
Final-revised paper
Preprint