Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics

Liubov Tupikina, Nora Molkenthin, Cristóbal López, Emilio Hernández-García, Norbert Marwan, Jürgen Kurths

Research output: Contribution to journalArticle

12 Citations (Scopus)
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Abstract

Complex network theory provides an elegant and powerful framework to statistically investigate different types of systems such as society, brain or the structure of local and long-range dynamical interrelationships in the climate system. Network links in climate networks typically imply information, mass or energy exchange. However, the specific connection between oceanic or atmospheric flows and the climate network's structure is still unclear. We propose a theoretical approach for verifying relations between the correlation matrix and the climate network measures, generalizing previous studies and overcoming the restriction to stationary flows. Our methods are developed for correlations of a scalar quantity (temperature, for example) which satisfies an advection-diffusion dynamics in the presence of forcing and dissipation. Our approach reveals that correlation networks are not sensitive to steady sources and sinks and the profound impact of the signal decay rate on the network topology. We illustrate our results with calculations of degree and clustering for a meandering flow resembling a geophysical ocean jet.
Original languageEnglish
Article numbere0153703
Pages (from-to)1-12
Number of pages12
JournalPloS ONE
Volume11
Issue number4
DOIs
Publication statusPublished - 29 Apr 2016

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Circuit theory
Complex networks
Advection
Climate
Brain
Topology
climate
Temperature
energy transfer
Oceans and Seas
topology
Cluster Analysis
oceans
deterioration
brain
advection
temperature
methodology

Cite this

Tupikina, L., Molkenthin, N., López, C., Hernández-García, E., Marwan, N., & Kurths, J. (2016). Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics. PloS ONE, 11(4), 1-12. [e0153703]. https://doi.org/10.1371/journal.pone.0153703

Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics. / Tupikina, Liubov; Molkenthin, Nora; López, Cristóbal; Hernández-García, Emilio; Marwan, Norbert; Kurths, Jürgen.

In: PloS ONE, Vol. 11, No. 4, e0153703, 29.04.2016, p. 1-12.

Research output: Contribution to journalArticle

Tupikina, L, Molkenthin, N, López, C, Hernández-García, E, Marwan, N & Kurths, J 2016, 'Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics', PloS ONE, vol. 11, no. 4, e0153703, pp. 1-12. https://doi.org/10.1371/journal.pone.0153703
Tupikina L, Molkenthin N, López C, Hernández-García E, Marwan N, Kurths J. Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics. PloS ONE. 2016 Apr 29;11(4):1-12. e0153703. https://doi.org/10.1371/journal.pone.0153703
Tupikina, Liubov ; Molkenthin, Nora ; López, Cristóbal ; Hernández-García, Emilio ; Marwan, Norbert ; Kurths, Jürgen. / Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics. In: PloS ONE. 2016 ; Vol. 11, No. 4. pp. 1-12.
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