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Discerning connectivity from dynamics in climate networks

SYSNO ASEP	0365726
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Discerning connectivity from dynamics in climate networks
Author(s)	Paluš, Milan (UIVT-O)_{RID, SAI, ORCID} Hartman, David (UIVT-O)_{RID, SAI, ORCID} Hlinka, Jaroslav (UIVT-O)_{RID, SAI, ORCID} Vejmelka, Martin (UIVT-O)_{SAI, RID, ORCID}
Source Title	Nonlinear Processes in Geophysics - ISSN 1023-5809 Roč. 18, č. 5 (2011), s. 751-763
Number of pages	13 s.
Language	eng - English
Country	DE - Germany
Keywords	complex networks ; climate dynamics ; connectivity ; North Atlantic Oscillation ; solar activity
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	GCP103/11/J068 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000296743300020
EID SCOPUS	80055044942
DOI	10.5194/npg-18-751-2011
Annotation	The bias due to dynamical memory (serial correlations) in an association/dependence measure (absolute cross-correlation) is demonstrated in model data and identified in time series of meteorological variables used for construction of climate networks. Accounting for such bias in inferring links of the climate network markedly changes the network topology and allows to observe previously hidden phenomena in climate network evolution.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2012

Number of the records: 1