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  The effect of time series distance functions on functional climate networks

Ferreira, L. N., Ferreira, N. C. R., Macau, E. E. N., Donner, R. V. (2021): The effect of time series distance functions on functional climate networks. - European Physical Journal - Special Topics, 230, 14-15, 2973-2998.
https://doi.org/10.1140/epjs/s11734-021-00274-y

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Ferreira, Leonardo N.1, Author              
Ferreira, Nicole C. R.2, Author
Macau, Elbert E. N.2, Author
Donner, Reik V.1, Author              
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Complex network theory provides an important tool for the analysis of complex systems such as the Earth’s climate. In this context, functional climate networks can be constructed using a spatiotemporal climate dataset and a suitable time series distance function. The resulting coarse-grained view on climate variability consists of representing distinct areas on the globe (i.e., grid cells) by nodes and connecting pairs of nodes that present similar time series. One fundamental concern when constructing such a functional climate network is the definition of a metric that captures the mutual similarity between time series. Here we study systematically the effect of 29 time series distance functions on functional climate network construction based on global temperature data. We observe that the distance functions previously used in the literature commonly generate very similar networks while alternative ones result in rather distinct network structures and reveal different long-distance connection patterns. These patterns are highly important for the study of climate dynamics since they generally represent pathways for the long-distance transportation of energy and can be used to forecast climate variability on subseasonal to interannual or even decadal scales. Therefore, we propose the measures studied here as alternatives for the analysis of climate variability and to further exploit their complementary capability of capturing different aspects of the underlying dynamics that may help gaining a more holistic empirical understanding of the global climate system.

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 Dates: 2021-09-302021-10
 Publication Status: Finally published
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjs/s11734-021-00274-y
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
MDB-ID: Entry suspended
 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: 2973 - 2998 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617