DOI: 10.5194/hess-18-5093-2014
Scopus记录号: 2-s2.0-84918519960
论文题名: Characterising the space-time structure of rainfall in the Sahel with a view to estimating IDAF curves
作者: Panthou G ; , Vischel T ; , Lebel T ; , Quantin G ; , Molinié G
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 12 起始页码: 5093
结束页码: 5107
语种: 英语
Scopus关键词: Catchments
; Gages
; Rain gages
; Areal reduction factors
; Dynamical scaling
; Extreme rainfall
; Rainfall distribution
; Scale invariance
; Spacetime structures
; Temporal resolution
; Time aggregation
; Rain
; catchment
; extreme event
; hydrological regime
; rainfall
; raingauge
; spatiotemporal analysis
; Sahel [Sub-Saharan Africa]
; West Africa
英文摘要: Intensity-duration-area-frequency (IDAF) curves are increasingly demanded for characterising the severity of storms and for designing hydraulic structures. Their computation requires inferring areal rainfall distributions over the range of space scales and timescales that are the most relevant for hydrological studies at catchment scale. In this study, IDAF curves are computed for the first time in West Africa, based on the data provided by the AMMA-CATCH Niger network, composed of 30 recording rain gauges having operated since 1990 over a 16 000 km2 area in south-western Niger. The IDAF curves are obtained by separately considering the time (intensity-duration-frequency, IDF) and space (areal reduction factor, ARF) components of the extreme rainfall distribution. Annual maximum intensities are extracted for resolutions between 1 and 24 h in time and from point (rain gauge) to 2500 km2 in space. The IDF model used is based on the concept of scale invariance (simple scaling) which allows the normalisation of the different temporal resolutions of maxima series to which a global generalised extreme value (GEV) is fitted. This parsimonious framework allows one to use the concept of dynamic scaling to describe the ARF. The results show that coupling a simple scaling in space and time with a dynamical scaling that relates to space and time allows one to satisfactorily model the effect of space-time aggregation on the distribution of extreme rainfall. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78048
Appears in Collections: 气候变化事实与影响
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作者单位: LTHE - UMR5564, Univ. Grenoble, CNRS, Grenoble, France
Recommended Citation:
Panthou G,, Vischel T,, Lebel T,et al. Characterising the space-time structure of rainfall in the Sahel with a view to estimating IDAF curves[J]. Hydrology and Earth System Sciences,2014-01-01,18(12)