Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Non-linear time series analysis of precipitation events using regional climate networks for Germany

Full text
Author(s):
Rheinwalt, Aljoscha [1, 2, 3] ; Boers, Niklas [1, 3] ; Marwan, Norbert [3] ; Kurths, Juergen [1, 3, 4, 5] ; Hoffmann, Peter [3] ; Gerstengarbe, Friedrich-Wilhelm [3] ; Werner, Peter [3]
Total Authors: 7
Affiliation:
[1] Humboldt Univ, D-10099 Berlin - Germany
[2] Univ Potsdam, Potsdam - Germany
[3] Potsdam Inst Climate Impact Res, POB 60 12 03, D-14412 Potsdam - Germany
[4] Nizhnii Novgorod State Univ, Nizhnii Novgorod - Russia
[5] Univ Aberdeen, Aberdeen - Scotland
Total Affiliations: 5
Document type: Journal article
Source: Climate Dynamics; v. 46, n. 3-4, p. 1065-1074, FEB 2016.
Web of Science Citations: 12
Abstract

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. (AU)

FAPESP's process: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants