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  Spatial coherence patterns of extreme winter precipitation in the U.S.

Banerjee, A., Kemter, M., Goswami, B., Merz, B., Kurths, J., Marwan, N. (2023): Spatial coherence patterns of extreme winter precipitation in the U.S. - Theoretical and Applied Climatology, 152, 385-395.
https://doi.org/10.1007/s00704-023-04393-5

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Banerjee, Abhirup1, Autor              
Kemter, Matthias1, Autor              
Goswami, Bedartha2, Autor
Merz, Bruno2, Autor
Kurths, Jürgen1, Autor              
Marwan, Norbert1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Extreme precipitation events have a significant impact on life and property. The U.S. experiences huge economic losses due to severe floods caused by extreme precipitation. With the complex terrain of the region, it becomes increasingly important to understand the spatial variability of extreme precipitation to conduct a proper risk assessment of natural hazards such as floods. In this work, we use a complex network-based approach to identify distinct regions exhibiting spatially coherent precipitation patterns due to various underlying climate mechanisms. To quantify interactions between event series of different locations, we use a nonlinear similarity measure, called the edit-distance method, which considers not only the occurrence of the extreme events but also their intensity, while measuring similarity between two event series. Using network measures, namely, degree and betweenness centrality, we are able to identify the specific regions affected by the landfall of atmospheric rivers in addition to those where the extreme precipitation due to storm track activity is modulated by different mountain ranges such as the Rockies and the Appalachians. Our approach provides a comprehensive picture of the spatial patterns of extreme winter precipitation in the U.S. due to various climate processes despite its vast, complex topography.

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Sprache(n): eng - Englisch
 Datum: 2023-03-082023-04
 Publikationsstatus: Final veröffentlicht
 Seiten: 11
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1007/s00704-023-04393-5
MDB-ID: pending
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Weather
Regional keyword: North America
OATYPE: Hybrid - DEAL Springer Nature
 Art des Abschluß: -

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Titel: Theoretical and Applied Climatology
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 152 Artikelnummer: - Start- / Endseite: 385 - 395 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1708291
Publisher: Springer Nature