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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
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]
Número total de Autores: 7
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: Climate Dynamics; v. 46, n. 3-4, p. 1065-1074, FEB 2016.
Citações Web of Science: 12
Resumo

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)

Processo FAPESP: 11/50151-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Linha de fomento: Auxílio à Pesquisa - Temático