Articles | Volume 18, issue 5
Nonlin. Processes Geophys., 18, 751–763, 2011
https://doi.org/10.5194/npg-18-751-2011

Special issue: Recent advances in data analysis and modeling of nonlinear...

Nonlin. Processes Geophys., 18, 751–763, 2011
https://doi.org/10.5194/npg-18-751-2011

Research article 24 Oct 2011

Research article | 24 Oct 2011

Discerning connectivity from dynamics in climate networks

M. Paluš, D. Hartman, J. Hlinka, and M. Vejmelka M. Paluš et al.
  • Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 2, 182 07 Prague 8, Czech Republic

Abstract. 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.