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  Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation

Wolf, F., Donner, R. V. (2021): Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation. - European Physical Journal - Special Topics, 230, 14-15, 3045-3063.
https://doi.org/10.1140/epjs/s11734-021-00166-1

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 Creators:
Wolf, Frederik1, Author              
Donner, Reik V.1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: In the past years, there has been an increasing number of applications of functional climate networks to studying the spatiotemporal organization of heavy rainfall events or similar types of extreme behavior in some climate variable of interest. Nearly all existing studies have employed the concept of event synchronization (ES) to statistically measure similarity in the timing of events at different grid points. Recently, it has been pointed out that this measure can however lead to biases in the presence of events that are heavily clustered in time. Here, we present an analysis of the effects of event declustering on the resulting functional climate network properties describing spatio- temporal patterns of heavy rainfall events during the South American monsoon season based on ES and a conceptually similar method, event coincidence analysis (ECA). As examples for widely employed local (per-node) network characteristics of different type, we study the degree, local clustering coefficient and average link distance patterns, as well as their mutual interdependency, for three different values of the link density. Our results demonstrate that the link density can markedly affect the resulting spatial patterns. Specifically, we find the qualitative inversion of the degree pattern with rising link density in one of the studied settings. To our best knowledge, such crossover behavior has not been described before in event synchrony based networks. In addition, declustering relieves differences between ES and ECA based network properties in some measures while not in others. This underlines the need for a careful choice of the methodological settings in functional climate network studies of extreme events and associated interpretation of the obtained results, especially when higher-order network properties are considered.

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Language(s): eng - English
 Dates: 2021-04-012021-06-252021-10
 Publication Status: Finally published
 Pages: 19
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PIKDOMAIN: RD4 - Complexity Science
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
MDB-ID: yes - 3173
Research topic keyword: Complex Networks
Research topic keyword: Extremes
Model / method: Nonlinear Data Analysis
Regional keyword: South America
Research topic keyword: Nonlinear Dynamics
DOI: 10.1140/epjs/s11734-021-00166-1
OATYPE: Hybrid - DEAL Springer Nature
 Degree: -

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Title: European Physical Journal - Special Topics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 230 (14-15) Sequence Number: - Start / End Page: 3045 - 3063 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer