Characterizing the evolution of climate networks

L Tupikina, K Rehfeld, N Molkenthin, V Stolbova, N Marwan, J Kurths

Research output: Contribution to journalArticle

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Abstract

Complex network theory has been successfully applied to understand the structural and functional topology of many dynamical systems from nature, society and technology. Many properties of these systems change over time, and, consequently, networks reconstructed from them will, too. However, although static and temporally changing networks have been studied extensively, methods to quantify their robustness as they evolve in time are lacking. In this paper we develop a theory to investigate how networks are changing within time based on the quantitative analysis of dissimilarities in the network structure.

Our main result is the common component evolution function (CCEF) which characterizes network development over time. To test our approach we apply it to several model systems, Erdős–Rényi networks, analytically derived flow-based networks, and transient simulations from the START model for which we control the change of single parameters over time. Then we construct annual climate networks from NCEP/NCAR reanalysis data for the Asian monsoon domain for the time period of 1970–2011 CE and use the CCEF to characterize the temporal evolution in this region. While this real-world CCEF displays a high degree of network persistence over large time lags, there are distinct time periods when common links break down. This phasing of these events coincides with years of strong El Niño/Southern Oscillation phenomena, confirming previous studies. The proposed method can be applied for any type of evolving network where the link but not the node set is changing, and may be particularly useful to characterize nonstationary evolving systems using complex networks.
Original languageEnglish
Pages (from-to)705-711
Number of pages7
JournalNonlinear Processes in Geophysics
Volume21
Issue number3
DOIs
Publication statusPublished - 25 Jun 2014

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climate
Complex networks
Circuit theory
Dynamical systems
Topology
Chemical analysis
Southern Oscillation
temporal evolution
quantitative analysis
topology
monsoon
persistence
monsoons
complex systems
dynamical systems
time lag
breakdown
simulation

Cite this

Tupikina, L., Rehfeld, K., Molkenthin, N., Stolbova, V., Marwan, N., & Kurths, J. (2014). Characterizing the evolution of climate networks. Nonlinear Processes in Geophysics, 21(3), 705-711. https://doi.org/10.5194/npg-21-705-2014

Characterizing the evolution of climate networks. / Tupikina, L; Rehfeld, K; Molkenthin, N; Stolbova, V; Marwan, N; Kurths, J.

In: Nonlinear Processes in Geophysics, Vol. 21, No. 3, 25.06.2014, p. 705-711.

Research output: Contribution to journalArticle

Tupikina, L, Rehfeld, K, Molkenthin, N, Stolbova, V, Marwan, N & Kurths, J 2014, 'Characterizing the evolution of climate networks', Nonlinear Processes in Geophysics, vol. 21, no. 3, pp. 705-711. https://doi.org/10.5194/npg-21-705-2014
Tupikina L, Rehfeld K, Molkenthin N, Stolbova V, Marwan N, Kurths J. Characterizing the evolution of climate networks. Nonlinear Processes in Geophysics. 2014 Jun 25;21(3):705-711. https://doi.org/10.5194/npg-21-705-2014
Tupikina, L ; Rehfeld, K ; Molkenthin, N ; Stolbova, V ; Marwan, N ; Kurths, J. / Characterizing the evolution of climate networks. In: Nonlinear Processes in Geophysics. 2014 ; Vol. 21, No. 3. pp. 705-711.
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