干旱区生态环境知识资源中心(Arid): Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas

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DOI	10.1002/joc.6305
	Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas
	Wang, Zhenni 1; Wen, Xin 1,2; Lei, Xiaohui 2; Tan, Qiaofeng 1; Fang, Guohua 1; Zhang, Xinyi 1
通讯作者	Wen, Xin
来源期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN	0899-8418
EISSN	1097-0088
出版年	2020
卷号	40 期号:3 页码:1838-1850
英文摘要	In statistical modelling of extreme precipitation, most of previous studies were proposed for some certain regions, the effects of diverse extreme distribution and threshold remain unclear on a global scale. In this study, we evaluated the performance of different extreme distribution and threshold across the global land areas, and proposed the optimal criteria in distribution and threshold determination for monthly extreme precipitation modelling. The performance of the generalized extreme value (GEV) distribution and generalized Pareto distribution (GPD) models were compared and the applicability of GPD models with thresholds determined by different percentiles in each grid was analysed. The results show that the GPD model is more suitable than the GEV model for monthly extreme precipitation, and the threshold over global land areas is likely to be associated with the spatial distribution of annual precipitation magnitude. The 97-99th percentile is most applicable to arid regions (e.g., the northern edge of North America, central Asia, North Africa, southwest Asia, central South America). The 93-96th percentile is most applicable to semi-arid and semi-humid regions (e.g., eastern North America, a strip region in northern Eurasia, and inland semi-arid areas in Asia). The 90-92 percentile is most applicable to humid regions (e.g., central and southern North America, most areas in South America, Eurasia [except central Eurasia], southern and central Africa).
英文关键词	extreme precipitation events generalized extreme value generalized Pareto distribution global scale threshold
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000489799900001
WOS关键词	GENERALIZED PARETO DISTRIBUTION ; RAINFALL ; TRENDS ; TEMPERATURE ; EXCEEDANCES ; FREQUENCY ; EVENTS ; HAZARD
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216393
作者单位	1.Hohai Univ, Coll Water Conservancy & Hydropower Engn, 1 Xikang Rd, Nanjing, Jiangsu, Peoples R China; 2.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhenni,Wen, Xin,Lei, Xiaohui,et al. Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas[J]. 河海大学,2020,40(3):1838-1850.
APA	Wang, Zhenni,Wen, Xin,Lei, Xiaohui,Tan, Qiaofeng,Fang, Guohua,&Zhang, Xinyi.(2020).Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas.INTERNATIONAL JOURNAL OF CLIMATOLOGY,40(3),1838-1850.
MLA	Wang, Zhenni,et al."Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas".INTERNATIONAL JOURNAL OF CLIMATOLOGY 40.3(2020):1838-1850.