DOI: 10.1007/s00382-015-2632-z
Scopus记录号: 2-s2.0-84957440894
论文题名: Non-linear time series analysis of precipitation events using regional climate networks for Germany
作者: Rheinwalt A. ; Boers N. ; Marwan N. ; Kurths J. ; Hoffmann P. ; Gerstengarbe F.-W. ; Werner P.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-03-04 起始页码: 1065
结束页码: 1074
语种: 英语
英文关键词: Anisotropy
; Complex networks
; Dominant link directions
; Event synchronization
; Isochrones
; Precipitation events
; Rainfall
英文摘要: Synchronous occurrences of heavy rainfall events and the study of their relation in time and space are of large socio-economical relevance, for instance for the agricultural and insurance sectors, but also for the general well-being of the population. In this study, the spatial synchronization structure is analyzed as a regional climate network constructed from precipitation event series. The similarity between event series is determined by the number of synchronous occurrences. We propose a novel standardization of this number that results in synchronization scores which are not biased by the number of events in the respective time series. Additionally, we introduce a new version of the network measure directionality that measures the spatial directionality of weighted links by also taking account of the effects of the spatial embedding of the network. This measure provides an estimate of heavy precipitation isochrones by pointing out directions along which rainfall events synchronize. We propose a climatological interpretation of this measure in terms of propagating fronts or event traces and confirm it for Germany by comparing our results to known atmospheric circulation patterns. © 2015, Springer-Verlag Berlin Heidelberg. 资助项目: DFG, Fundação de Amparo à Pesquisa do Estado de São Paulo
; FAPESP, Fundação de Amparo à Pesquisa do Estado de São Paulo
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53849
Appears in Collections: 过去全球变化的重建
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作者单位: Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, Potsdam, Germany; Humboldt-Universitaet zu Berlin, Berlin, Germany; Potsdam University, Potsdam, Germany; Nizhny Novgorod State University, Nizhny Novgorod, Russian Federation; University of Aberdeen, Aberdeen, United Kingdom
Recommended Citation:
Rheinwalt A.,Boers N.,Marwan N.,et al. Non-linear time series analysis of precipitation events using regional climate networks for Germany[J]. Climate Dynamics,2016-01-01,46(2017-03-04)