| DOI: | 10.5194/hess-21-5823-2017
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| Scopus记录号: | 2-s2.0-85034947545
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| 论文题名: | Simple scaling of extreme precipitation in North America |
| 作者: | Innocenti S; , Mailhot A; , Frigon A
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| 刊名: | Hydrology and Earth System Sciences
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| ISSN: | 10275606
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| 出版年: | 2017
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| 卷: | 21, 期:11 | | 起始页码: | 5823
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| 结束页码: | 5846
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| 语种: | 英语
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| Scopus关键词: | Precipitation (meteorology)
; Rain
; Risk analysis
; Risk assessment
; Annual maximum series
; Extreme precipitation
; Generalized extreme value (GEV) distributions
; Infrastructure design
; Intensity-duration-frequency curves
; Precipitation intensity distribution
; Precipitation scaling
; Temporal and spatial scale
; Probability distributions
; climate effect
; extreme event
; frequency analysis
; parameterization
; precipitation assessment
; precipitation intensity
; probability
; spatial distribution
; spatiotemporal analysis
; North America
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| 英文摘要: | Extreme precipitation is highly variable in space and time. It is therefore important to characterize precipitation intensity distributions on several temporal and spatial scales. This is a key issue in infrastructure design and risk analysis, for which intensity-duration-frequency (IDF) curves are the standard tools used for describing the relationships among extreme rainfall intensities, their frequencies, and their durations. Simple scaling (SS) models, characterizing the relationships among extreme probability distributions at several durations, represent a powerful means for improving IDF estimates. This study tested SS models for approximately 2700 stations in North America. Annual maximum series (AMS) over various duration intervals from 15ĝ€min to 7 days were considered. The range of validity, magnitude, and spatial variability of the estimated scaling exponents were investigated. Results provide additional guidance for the influence of both local geographical characteristics, such as topography, and regional climatic features on precipitation scaling. Generalized extreme-value (GEV) distributions based on SS models were also examined. Results demonstrate an improvement of GEV parameter estimates, especially for the shape parameter, when data from different durations were pooled under the SS hypothesis. © 2017 Author(s). This work is distributed under the Creative Commons Attribution 3.0 License. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/78989
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Centre EAU-Terre-Environnement, INRS, 490 de la Couronne, Québec, Canada; Consortium Ouranos, 550 Sherbrooke Ouest, Montrèal, Canada
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| Recommended Citation: | |
Innocenti S,, Mailhot A,, Frigon A. Simple scaling of extreme precipitation in North America[J]. Hydrology and Earth System Sciences,2017-01-01,21(11)
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