Articles | Volume 21, issue 6
Nonlin. Processes Geophys., 21, 1127–1132, 2014

Special issue: Complex network approaches to analyzing and modeling nonlinear...

Nonlin. Processes Geophys., 21, 1127–1132, 2014
Research article
 | Highlight paper
27 Nov 2014
Research article  | Highlight paper | 27 Nov 2014

Correlations between climate network and relief data

T. K. D. Peron et al.

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Cited articles

Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., and Hwang, D.: Complex networks: Structure and dynamics, Phys. Rep., 424, 175–308, 2006.
Clauset, A., Newman, M. E., and Moore, C.: Finding community structure in very large networks, Phys. Rev. E, 70, 066111,, 2004.
Costa, L., Rodrigues, F., Travieso, G., and Boas, P.: Characterization of complex networks: A survey of measurements, Adv. Phys., 56, 167–242, 2007.
da Fontoura Costa, L., Oliveira Jr., O., Travieso, G., Rodrigues, F., Boas, P., Antiqueira, L., Viana, M., and Rocha, L.: Analyzing and modeling real-world phenomena with complex networks: a survey of applications, Adv. Phys., 60, 329–412, 2011.
Donges, J. F., Zou, Y., Marwan, N., and Kurths, J.: The backbone of the climate network, EPL-Europhys. Lett., 87, 48007,, 2009a.
Short summary
In the past few years, complex networks have been extensively applied to climate sciences, yielding the new field of climate networks. Here, we generalize climate network analysis by investigating the influence of altitudes in network topology. More precisely, we verified that nodes group into different communities corresponding to geographical areas with similar relief properties. This new approach may contribute to obtaining more complete climate network models.