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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Aug 2025
Research article |
| 19 Aug 2025
| 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
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Xiaoye Zhang
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Yue Peng
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Zhaodong Liu
Earth System Modeling and Prediction Centre, China Meteorological Administration, Beijing, China
Deying Wang
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Da Zhang
Institute of Energy, Environment and Economy, Tsinghua University, Beijing, China
Chen Han
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Yang Zhao
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Junting Zhong
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Wenxing Jia
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Huiqiong Ning
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
Huizheng Che
State Key Laboratory of Severe Weather Meteorological Science and Technology, CAMS, Beijing, China
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Observational and modeling results both show that the surface dust concentrations over the East Asian (EA) dust source region and over the northwestern Pacific (NP) in MAM are significantly positively correlated with TPSH. These atmospheric circulation anomalies induced by the increased TPSH result in increasing westerly winds over both EA and NP, which in turn increases dust emissions over the dust source and dust transport over these two regions, as well as the regional dust cycles.
Cited articles
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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.
This study achieves quantifiable subgrid-scale aerosol–cloud interaction in an atmospheric...
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