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Evolving Climate Networks

We propose a method to reconstruct and analyse an evolving complex network from data generated by a spatio-temporal dynamical system. We study reanalysis surface air temperature data by different complex network measures. This approach reveals a rich internal structure in complex climate networks and allows to study the stability of the climate network and the impacts of teleconnections (e.g., El Niño/ Southern Oscillation). Moreover, the betweenness analyis uncovers peculiar wave-like structures of high information flow, that can be related to global surface ocean currents.