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  Exploring meteorological droughts' spatial patterns across Europe through complex network theory

Giaquinto, D., Marzocchi, W., Kurths, J. (2023): Exploring meteorological droughts' spatial patterns across Europe through complex network theory. - Nonlinear Processes in Geophysics, 30, 2, 167-181.
https://doi.org/10.5194/npg-30-167-2023

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_28601 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_28601_1
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 Urheber:
Giaquinto, Domenico1, Autor
Marzocchi, Warner1, Autor
Kurths, Jürgen2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: In this paper we investigate the spatial patterns and features of meteorological droughts in Europe using concepts and methods derived from complex network theory. Using event synchronization analysis, we uncover robust meteorological drought continental networks based on the co-occurrence of these events at different locations within a season from 1981 to 2020 and compare the results for four accumulation periods of rainfall. Each continental network is then further examined to unveil regional clusters which are characterized in terms of droughts' geographical propagation and source–sink systems. While introducing new methodologies in general climate network reconstruction from raw data, our approach brings out key aspects concerning drought spatial dynamics, which could potentially support droughts' forecast.

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Sprache(n): eng - Englisch
 Datum: 2023-06-152023-06-15
 Publikationsstatus: Final veröffentlicht
 Seiten: 15
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/npg-30-167-2023
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Weather
Research topic keyword: Health
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
 Art des Abschluß: -

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Titel: Nonlinear Processes in Geophysics
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 30 (2) Artikelnummer: - Start- / Endseite: 167 - 181 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals364
Publisher: Copernicus