Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 16
Articles | Volume 25, issue 16
https://doi.org/10.5194/acp-25-9005-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-9005-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 16
Research article
 | 
19 Aug 2025
Research article |  | 19 Aug 2025

Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction

Wenjie Zhang, Hong Wang, Xiaoye Zhang, Yue Peng, Zhaodong Liu, Deying Wang, Da Zhang, Chen Han, Yang Zhao, Junting Zhong, Wenxing Jia, Huiqiong Ning, and Huizheng Che

Viewed

Total article views: 5,008 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,840 1,006 162 5,008 99 145 213
  • HTML: 3,840
  • PDF: 1,006
  • XML: 162
  • Total: 5,008
  • Supplement: 99
  • BibTeX: 145
  • EndNote: 213
Views and downloads (calculated since 16 Jan 2025)
Cumulative views and downloads (calculated since 16 Jan 2025)

Viewed (geographical distribution)

Total article views: 5,008 (including HTML, PDF, and XML) Thereof 5,008 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 25 May 2026
Download
Short summary
This study achieves quantifiable subgrid-scale aerosol–cloud interaction in an atmospheric chemistry system, with better performance in terms of meteorology prediction, and further finds that subgrid-scale actual aerosol can somewhat improve overestimated cumulative precipitation during a typical heavy rainfall event, which helps us better understand the impact of subgrid-scale aerosol–cloud interaction on weather forecasts.
Read more
Share
Altmetrics
Final-revised paper
Preprint