气候变化领域集成服务门户(CCPortal): Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood

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DOI	10.1016/j.atmosres.2021.105907
	Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood
	Ma, Yuanyuan; Hu, Zhiyuan; Xie, Qian; Meng, Xianhong; Zhao, Lin; Dong, Wenjie
通讯作者	Hu, ZY (通讯作者)，Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China. ; Hu, ZY (通讯作者)，Sun Yat Sen Univ, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China. ; Meng, XH (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China.
发表日期	2022
ISSN	0169-8095
EISSN	1873-2895
卷号	265
英文摘要	The Tibetan Plateau (TP) plays a complicated impact on summer extreme precipitation in downstream areas like Yangtze Plain, and the convection-permitting modeling (CPM) over the TP has obvious added value for regional climate simulation. This study investigates whether the CPM over the TP can improve the simulation of a typical extreme Meiyu rainfall in Yangtze Plain and the possible mechanism. To address these issues, we conduct three experiments with the Weather Research and Forecasting (WRF) model using a combination of nesting feedback and different resolution topography. Results reveal that the CPM over the TP better reproduces the regional climate over the TP in terms of the precipitation and temperature. The more realistic representation of the regional climate over the TP can further improve the simulation of the spatial distribution of rainfall, the maximum center of rainfall and heavy rainfall processes of Meiyu rainfall in June 2011 but with a wet bias, which could be attribute to too much convective precipitation caused by the cumulus parameterizations. These improvements mostly benefit from the detailed representation of the complex topography over the TP, which contributes to capturing more reasonable eddy kinetic energy at 500 hPa. Consequently, middle atmospheric cold and downward wind bias over the TP as well as the bias of thermal and mechanical circulation fields (e.g., monsoon flow and South Asia High) are reduced. This work demonstrates the potential for the more realistic representation of atmosphere and land surface information over TP to improve the simulations and prediction of extreme Meiyu rainfall.
关键词	PRECIPITATION CHINA MONSOON PARAMETERIZATION RESOLUTION
英文关键词	Extreme rainfall; Meiyu; Convection-Permitting modeling; Tibetan Plateau
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000715056900001
来源期刊	ATMOSPHERIC RESEARCH
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254158
作者单位	[Ma, Yuanyuan; Meng, Xianhong; Zhao, Lin] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China; [Ma, Yuanyuan; Hu, Zhiyuan; Dong, Wenjie] Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China; [Ma, Yuanyuan; Hu, Zhiyuan; Dong, Wenjie] Sun Yat Sen Univ, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China; [Hu, Zhiyuan; Dong, Wenjie] Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China; [Xie, Qian] Lanzhou Univ, Coll Atmospher Sci, Key Lab Climate Resource Dev & Disaster Prevent G, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Ma, Yuanyuan,Hu, Zhiyuan,Xie, Qian,et al. Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood[J]. 中国科学院西北生态环境资源研究院,2022,265.
APA	Ma, Yuanyuan,Hu, Zhiyuan,Xie, Qian,Meng, Xianhong,Zhao, Lin,&Dong, Wenjie.(2022).Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood.ATMOSPHERIC RESEARCH,265.
MLA	Ma, Yuanyuan,et al."Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood".ATMOSPHERIC RESEARCH 265(2022).