• Treffer 3 von 5
Zurück zur Trefferliste

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

  • 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 ofSynchronous 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.zeige mehrzeige weniger

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Verfasserangaben:Aljoscha RheinwaltORCiDGND, Niklas BoersORCiDGND, Norbert MarwanORCiDGND, Jürgen KurthsORCiDGND, Peter Hoffmann, Friedrich-Wilhelm Gerstengarbe, Peter Werner
DOI:https://doi.org/10.1007/s00382-015-2632-z
ISSN:0930-7575
ISSN:1432-0894
Titel des übergeordneten Werks (Englisch):Climate dynamics : observational, theoretical and computational research on the climate system
Verlag:Springer
Verlagsort:New York
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2016
Erscheinungsjahr:2016
Datum der Freischaltung:22.03.2020
Freies Schlagwort / Tag:Anisotropy; Complex networks; Dominant link directions; Event synchronization; Isochrones; Precipitation events; Rainfall
Band:46
Seitenanzahl:10
Erste Seite:1065
Letzte Seite:1074
Fördernde Institution:Deutsche Forschungsgemeinschaft (DFG) [MA 4759/4-1]; International Research Training Group (IRTG) [1740/TRP 2011/50151-0]; DFG and the Foundation for Research Support of the State of Sao Paulo (FAPESP)
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
Peer Review:Referiert
Name der Einrichtung zum Zeitpunkt der Publikation:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.