气候变化领域集成服务门户(CCPortal): Aerosol-cloud interaction in the atmospheric chemistry modelGRAPES_Meso5.1/CUACE and its impacts on mesoscale numericalweather prediction under haze pollution conditions in Jing-Jin-Ji in China

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DOI	10.5194/acp-22-15207-2022
	Aerosol-cloud interaction in the atmospheric chemistry modelGRAPES_Meso5.1/CUACE and its impacts on mesoscale numericalweather prediction under haze pollution conditions in Jing-Jin-Ji in China
	Zhang, Wenjie; Wang, Hong; Zhang, Xiaoye; Huang, Liping; Peng, Yue; Liu, Zhaodong; Zhang, Xiao; Che, Huizheng
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	15207
结束页码	15221
卷号	22 期号:23 页码:15
英文摘要	The representation of aerosol-cloud interaction (ACI) and its impacts in the current climate or weather model remains a challenge, especially for severely polluted regions with high aerosol concentration, which is even more important and worthy of study. Here, ACI is first implemented in the atmospheric chemistry model GRAPES_Meso5.1/CUACE by allowing for real-time aerosol activation in the Thompson cloud microphysics scheme. Two experiments are conducted focusing on a haze pollution case with coexisting high aerosol and stratus cloud over the Jing-Jin-Ji region in China to investigate the impact of ACI on the mesoscale numerical weather prediction (NWP). Study results show that ACI increases cloud droplet number concentration, water mixing ratio, liquid water path (CLWP), and optical thickness (COT), as a result improving the underestimated CLWP and COT (reducing the mean bias by 21 % and 37 %, respectively) over a certain subarea by the model without ACI. A cooling in temperature in the daytime below 950 hPa occurs due to ACI, which can reduce the mean bias of 2 m temperature in the daytime by up to 14 % (& SIM; 0.6 & LCIRC;C) in the subarea with the greatest change in CLWP and COT. The 24 h cumulative precipitation in this subarea corresponding to moderate-rainfall events increases, which can reduce the mean bias by 18 %, depending on the enhanced melting of the snow by more cloud droplets. In other areas or periods with a slight change in CLWP and COT, the impact of ACI on NWP is not significant, suggesting the inhomogeneity of ACI. This study demonstrates the critical role of ACI in the current NWP model over the severely polluted region and the complexity of the ACI effect.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000892587400001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273321
作者单位	Chinese Academy of Meteorological Sciences (CAMS); Chinese Academy of Sciences; Chinese Academy of Meteorological Sciences (CAMS); Yunnan University; Fudan University; China Meteorological Administration; Fudan University
推荐引用方式 GB/T 7714	Zhang, Wenjie,Wang, Hong,Zhang, Xiaoye,et al. Aerosol-cloud interaction in the atmospheric chemistry modelGRAPES_Meso5.1/CUACE and its impacts on mesoscale numericalweather prediction under haze pollution conditions in Jing-Jin-Ji in China[J],2022,22(23):15.
APA	Zhang, Wenjie.,Wang, Hong.,Zhang, Xiaoye.,Huang, Liping.,Peng, Yue.,...&Che, Huizheng.(2022).Aerosol-cloud interaction in the atmospheric chemistry modelGRAPES_Meso5.1/CUACE and its impacts on mesoscale numericalweather prediction under haze pollution conditions in Jing-Jin-Ji in China.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(23),15.
MLA	Zhang, Wenjie,et al."Aerosol-cloud interaction in the atmospheric chemistry modelGRAPES_Meso5.1/CUACE and its impacts on mesoscale numericalweather prediction under haze pollution conditions in Jing-Jin-Ji in China".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.23(2022):15.