DOI: 10.1175/JCLI-D-12-00836.1
Scopus记录号: 2-s2.0-84885336858
论文题名: Clustering of maxima: Spatial dependencies among heavy rainfall in france
作者: Bernard E. ; Naveau P. ; Vrac M. ; Mestre O.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 20 起始页码: 7929
结束页码: 7937
语种: 英语
Scopus关键词: Climatological datasets
; k-Means algorithm
; Multivariate extremes
; Spatial clustering
; Spatial dependencies
; Spatial temporals
; Statistical climatologies
; Statistical techniques
; Climate models
; Climatology
; Algorithms
; algorithm
; cluster analysis
; data set
; geostatistics
; precipitation assessment
; probability
; rainfall
; spatiotemporal analysis
; France
英文摘要: One of the main objectives of statistical climatology is to extract relevant information hidden in complex spatial-temporal climatological datasets. To identify spatial patterns, most well-known statistical techniques are based on the concept of intra- and intercluster variances (like the k-means algorithm or EOFs). As analyzing quantitative extremes like heavy rainfall has become more and more prevalent for climatologists and hydrologists during these last decades, finding spatial patterns with methods based on deviations from the mean (i.e., variances) may not be the most appropriate strategy in this context of studying such extremes. For practitioners, simple and fast clustering tools tailored for extremes have been lacking. A possible avenue to bridging this methodological gap resides in taking advantage of multivariate extreme value theory, a welldeveloped research field in probability, and to adapt it to the context of spatial clustering. In this paper, a novel algorithm based on this plan is proposed and studied. The approach is compared and discussed with respect to the classical k-means algorithm throughout the analysis of weekly maxima of hourly precipitation recorded in France (fall season, 92 stations, 1993-2011). © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51605
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratoire des Sciences du Climat et de l'Environnement, CNRS-CEA-UVSQ, Orme des Merisiers, 61190, Gif-sur-Yvette, France; Direction de la Production, Météo-France, Toulouse, France
Recommended Citation:
Bernard E.,Naveau P.,Vrac M.,et al. Clustering of maxima: Spatial dependencies among heavy rainfall in france[J]. Journal of Climate,2013-01-01,26(20)