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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Correlations between climate network and relief data

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Author(s):
Peron, T. K. D. [1] ; Comin, C. H. [1] ; Amancio, D. R. [2] ; Costa, L. da F. [1] ; Rodrigues, F. A. [2] ; Kurths, J. [3, 4, 5]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Inst Phys, Sao Carlos, SP - Brazil
[2] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
[3] Potsdam Inst Climate Impact Res PIK, D-14473 Potsdam - Germany
[4] Humboldt Univ, Dept Phys, D-12489 Berlin - Germany
[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 3UE - Scotland
Total Affiliations: 5
Document type: Journal article
Source: Nonlinear Processes in Geophysics; v. 21, n. 6, p. 1127-1132, 2014.
Web of Science Citations: 7
Abstract

In the last few years, the scientific community has witnessed an ongoing trend of using ideas developed in the study of complex networks to analyze climate dynamics. This powerful combination, usually called climate networks, can be used to uncover non-trivial patterns of weather changes throughout the years. Here we investigate the temperature network of the North American region and show that two network characteristics, namely degree and clustering, have marked differences between the eastern and western regions. We show that such differences are a reflection of the presence of a large network community on the western side of the continent. Moreover, we provide evidence that this large community is a consequence of the peculiar characteristics of the western relief of North America. (AU)

FAPESP's process: 11/22639-8 - Unveiling the relationship between structure and dynamics on modular networks
Grantee:Cesar Henrique Comin
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 12/22160-7 - Synchronization of Kuramoto Oscillators in Complex Networks
Grantee:Thomas Kaue Dal Maso Peron
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 10/19440-2 - Characterization, analysis, simulation and classification of complex networks
Grantee:Francisco Aparecido Rodrigues
Support Opportunities: Regular Research Grants
FAPESP's process: 13/06717-4 - Modeling human knowledge and behavior with complex networks
Grantee:Diego Raphael Amancio
Support Opportunities: Scholarships in Brazil - Post-Doctoral