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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Nov 2022
Research article |
| 30 Nov 2022
| 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
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
Department of Atmospheric and Oceanic Sciences & Institute of
Atmospheric Sciences, Fudan University, Shanghai, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
Xiaoye Zhang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
Liping Huang
Earth System Modeling and Prediction Center, China Meteorological
Administration, Beijing, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
Zhaodong Liu
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
Xiao Zhang
Department of Atmospheric Sciences, Yunnan University, Kunming, China
Huizheng Che
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing, China
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Short summary
Short summary
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.
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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.
Aerosol–cloud interaction (ACI) is first implemented in the atmospheric chemistry system...
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