Discerning connectivity from dynamics in climate networks

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 t...

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Bibliographic Details
Published in:Nonlinear Processes in Geophysics
Main Authors: Paluš, M. (Milan), Hartman, D. (David), Hlinka, J. (Jaroslav), Vejmelka, M. (Martin)
Format: Article in Journal/Newspaper
Language:English
Published: 2011
Subjects:
complex networks
climate dynamics
connectivity
North Atlantic Oscillation
solar activity
North Atlantic
North Atlantic oscillation
Online Access:https://doi.org/10.5194/npg-18-751-2011
http://hdl.handle.net/11104/0200899
Description
Summary: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.

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