Regional and inter-regional effects in evolving climate networks

J Hlinka, D Hartman, N Jajcay, M Vejmelka, R. Donner, N Marwan, J Kurths, M Palus

Research output: Contribution to journalArticle

13 Citations (Scopus)
5 Downloads (Pure)

Abstract

Complicated systems composed of many interacting subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is represented by an undirected graph composed of nodes standing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.
Original languageEnglish
Pages (from-to)451-462
Number of pages12
JournalNonlinear Processes in Geophysics
Volume21
Issue number2
DOIs
Publication statusPublished - 1 Apr 2014

Fingerprint

Network components
Complex networks
Principal component analysis
climate
connectivity
principal component analysis
principal components analysis
effect
intervals

Cite this

Hlinka, J., Hartman, D., Jajcay, N., Vejmelka, M., Donner, R., Marwan, N., ... Palus, M. (2014). Regional and inter-regional effects in evolving climate networks. Nonlinear Processes in Geophysics, 21(2), 451-462. https://doi.org/10.5194/npg-21-451-2014

Regional and inter-regional effects in evolving climate networks. / Hlinka, J; Hartman, D; Jajcay, N; Vejmelka, M; Donner, R.; Marwan, N; Kurths, J; Palus, M.

In: Nonlinear Processes in Geophysics, Vol. 21, No. 2, 01.04.2014, p. 451-462.

Research output: Contribution to journalArticle

Hlinka, J, Hartman, D, Jajcay, N, Vejmelka, M, Donner, R, Marwan, N, Kurths, J & Palus, M 2014, 'Regional and inter-regional effects in evolving climate networks', Nonlinear Processes in Geophysics, vol. 21, no. 2, pp. 451-462. https://doi.org/10.5194/npg-21-451-2014
Hlinka J, Hartman D, Jajcay N, Vejmelka M, Donner R, Marwan N et al. Regional and inter-regional effects in evolving climate networks. Nonlinear Processes in Geophysics. 2014 Apr 1;21(2):451-462. https://doi.org/10.5194/npg-21-451-2014
Hlinka, J ; Hartman, D ; Jajcay, N ; Vejmelka, M ; Donner, R. ; Marwan, N ; Kurths, J ; Palus, M. / Regional and inter-regional effects in evolving climate networks. In: Nonlinear Processes in Geophysics. 2014 ; Vol. 21, No. 2. pp. 451-462.
@article{193aaf574f1045f38b3965052fcf4c62,
title = "Regional and inter-regional effects in evolving climate networks",
abstract = "Complicated systems composed of many interacting subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is represented by an undirected graph composed of nodes standing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Ni{\~n}o episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Ni{\~n}o and La Ni{\~n}a episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.",
author = "J Hlinka and D Hartman and N Jajcay and M Vejmelka and R. Donner and N Marwan and J Kurths and M Palus",
year = "2014",
month = "4",
day = "1",
doi = "10.5194/npg-21-451-2014",
language = "English",
volume = "21",
pages = "451--462",
journal = "Nonlinear Processes in Geophysics",
issn = "1023-5809",
publisher = "European Geosciences Union",
number = "2",

}

TY - JOUR

T1 - Regional and inter-regional effects in evolving climate networks

AU - Hlinka, J

AU - Hartman, D

AU - Jajcay, N

AU - Vejmelka, M

AU - Donner, R.

AU - Marwan, N

AU - Kurths, J

AU - Palus, M

PY - 2014/4/1

Y1 - 2014/4/1

N2 - Complicated systems composed of many interacting subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is represented by an undirected graph composed of nodes standing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.

AB - Complicated systems composed of many interacting subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is represented by an undirected graph composed of nodes standing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality description of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.

U2 - 10.5194/npg-21-451-2014

DO - 10.5194/npg-21-451-2014

M3 - Article

VL - 21

SP - 451

EP - 462

JO - Nonlinear Processes in Geophysics

JF - Nonlinear Processes in Geophysics

SN - 1023-5809

IS - 2

ER -