干旱区生态环境知识资源中心(Arid): Determining optimal probability distributions for gridded precipitation data based on L-moments

Arid

DOI	10.1016/j.scitotenv.2023.163528
	Determining optimal probability distributions for gridded precipitation data based on L-moments
	Li, Ming; Wang, Guiwen; Cao, Fuqiang; Zong, Shengwei; Chai, Xurong
通讯作者	Zong, SW
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2023
卷号	882
英文摘要	Understanding the probability distributions of precipitation is crucial for predicting climatic events and constructing hydraulic facilities. To overcome the inadequacy of precipitation data, regional frequency analysis was commonly used by trading space for time. However, with the increasing availability of gridded precipitation datasets with high spatial and temporal resolutions, the probability distributions of precipitation for these datasets have been less explored. We used L-moments and goodness-of -fit criteria to identify the probability distributions of annual, seasonal, and monthly precipitation for a 0.5 degrees x 0.5 degrees dataset across the Loess Plateau (LP). We examined five 3-parameter dis-tributions, namely General Extreme Value (GEV), Generalized Logistic (GLO), Generalized Pareto (GPA), Generalized Normal (GNO), and Pearson type III (PE3), and evaluated the accuracy of estimated rainfall using the leave-one-out method. We also presented pixel-wise fit-parameters and quantiles of precipitation as supplements. Our findings indi-cated that precipitation probability distributions vary by location and time scale, and the fitted probability distribution functions are reliable for estimating precipitation under various return periods. Specifically, for annual precipitation, GLO was prevalent in humid and semi-humid areas, GEV in semi-arid and arid areas, and PE3 in cold-arid areas. For sea-sonal precipitation, spring precipitation mainly conforms to GLO distribution, summer precipitation around the 400 mm isohyet prevalently follows GEV distribution, autumn precipitation primarily meets GPA and PE3 distributions, and win-ter precipitation in the northwest, south, and east of the LP mainly conforms to GPA, PE3 and GEV distributions, respec-tively. Regarding monthly precipitation, the common distribution functions are PE3 and GPA for the less-precipitation months, whereas the distribution functions of precipitation for more-precipitation months vary substantially across dif-ferent regions of the LP. Our study contributes to a better understanding of precipitation probability distributions in the LP and provides insights for future studies on gridded precipitation datasets using robust statistical methods.
英文关键词	Regional frequency analysis Grid scale Loess Plateau Leave -one -out method
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000989854200001
WOS关键词	REGIONAL FREQUENCY-ANALYSIS ; LOESS PLATEAU ; GLOBAL PRECIPITATION ; SPATIOTEMPORAL ANALYSIS ; CLIMATE VARIABILITY ; EXTREMES ; RAINFALL ; DROUGHT ; INDEX ; TEMPERATURE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398530
推荐引用方式 GB/T 7714	Li, Ming,Wang, Guiwen,Cao, Fuqiang,et al. Determining optimal probability distributions for gridded precipitation data based on L-moments[J],2023,882.
APA	Li, Ming,Wang, Guiwen,Cao, Fuqiang,Zong, Shengwei,&Chai, Xurong.(2023).Determining optimal probability distributions for gridded precipitation data based on L-moments.SCIENCE OF THE TOTAL ENVIRONMENT,882.
MLA	Li, Ming,et al."Determining optimal probability distributions for gridded precipitation data based on L-moments".SCIENCE OF THE TOTAL ENVIRONMENT 882(2023).