DOI: 10.1002/joc.6305
论文题名: Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas
作者: Wang Z. ; Wen X. ; Lei X. ; Tan Q. ; Fang G. ; Zhang X.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2020
卷: 40, 期: 3 语种: 英语
英文关键词: extreme precipitation events
; generalized extreme value
; generalized Pareto distribution
; global scale
; threshold
Scopus关键词: Arid regions
; Pareto principle
; Extreme precipitation events
; Generalized extreme value
; Generalized Pareto Distributions
; Global scale
; threshold
; Precipitation (meteorology)
; arid region
; climate change
; climate modeling
; extreme event
; global climate
; land cover
; precipitation intensity
; statistical distribution
; threshold
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). © 2019 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158675
Appears in Collections: 气候变化与战略
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作者单位: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Recommended Citation:
Wang Z.,Wen X.,Lei X.,et al. Effects of different statistical distribution and threshold criteria in extreme precipitation modelling over global land areas[J]. International Journal of Climatology,2020-01-01,40(3)