干旱区生态环境知识资源中心(Arid): Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions

Arid

DOI	10.3390/atmos14020275
	Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions
	Pabaghi, Zeynab; Bazrafshan, Ommolbanin; Zamani, Hossein; Shekari, Marzieh; Singh, Vijay P. P.
通讯作者	Bazrafshan, O
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2023
卷号	14 期号:2
英文摘要	This study analyzed extreme precipitation events, using daily rainfall data for 1966-2015. A Mann-Kendall trend test was used to evaluate trends in extreme precipitation, copula functions were applied to compute the joint return periods of extreme events, and univariate and bivariate distributions were used to determine risk. The results showed that the decrease in consecutive wet days (CWD) was significant in the west and the northwest of Iran, while the consecutive dry days (CDD) index was increasing therein. The precipitation on more than the 90th percentile (P90) very wet days and annual number of days with precipitation less than the 90th percentile threshold (D90) indices followed similar patterns, with no significant trend in most parts of Iran, but at several stations in the north, west, and northwest, their decline was extreme. Furthermore, the increase of D10 (annual number of days with precipitation less than the 90th percentile threshold) and P10 (total precipitation of D10 of a year) was extreme in the wet regions of Iran, including the north, west, and northwest areas, and also part of the center. More than 50 percent of Iran experienced a low risk level, with a return period of extreme events (CWD, CDD) of more than 27.5 years, and the joint return periods of (D10, D90), (P10, P90), and (D10, P10) pairs were less than 100 years in most regions of Iran. Due to the increasing number of dry days in the north, west, and northwest of Iran, the drought risk increased. Based on the changes in extreme precipitation indices in recent years, the findings of this study will be useful for copula-based frequency analysis under a changing environment at regional and global scales.
英文关键词	extreme precipitation indices copula functions joint return period bivariate risk analysis
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000938219500001
WOS关键词	METEOROLOGICAL DROUGHT ; RAINFALL ; TRENDS ; PATTERNS ; IRAN ; TEMPERATURE ; INTENSITY
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395465
推荐引用方式 GB/T 7714	Pabaghi, Zeynab,Bazrafshan, Ommolbanin,Zamani, Hossein,et al. Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions[J],2023,14(2).
APA	Pabaghi, Zeynab,Bazrafshan, Ommolbanin,Zamani, Hossein,Shekari, Marzieh,&Singh, Vijay P. P..(2023).Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions.ATMOSPHERE,14(2).
MLA	Pabaghi, Zeynab,et al."Bivariate Analysis of Extreme Precipitation Using Copula Functions in Arid and Semi-Arid Regions".ATMOSPHERE 14.2(2023).