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Discerning connectivity from dynamics in climate networks

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    0365726 - ÚI 2012 RIV DE eng J - Journal Article
    Paluš, Milan - Hartman, David - Hlinka, Jaroslav - Vejmelka, Martin
    Discerning connectivity from dynamics in climate networks.
    Nonlinear Processes in Geophysics. Roč. 18, č. 5 (2011), s. 751-763. ISSN 1023-5809. E-ISSN 1607-7946
    R&D Projects: GA ČR GCP103/11/J068
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : complex networks * climate dynamics * connectivity * North Atlantic Oscillation * solar activity
    Subject RIV: BB - Applied Statistics, Operational Research
    Impact factor: 1.597, year: 2011

    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.
    Permanent Link: http://hdl.handle.net/11104/0200899

     
     
Number of the records: 1  

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