Temporal organization of magnetospheric fluctuations unveiled by recurrence patterns in the Dst index.

@article{Donner2018TemporalOO,
  title={Temporal organization of magnetospheric fluctuations unveiled by recurrence patterns in the Dst index.},
  author={Reik V. Donner and Veronika Stolbova and Georgios Balasis and Jonathan F. Donges and Marina Georgiou and Stelios M. Potirakis and J{\"u}rgen Kurths},
  journal={Chaos},
  year={2018},
  volume={28 8},
  pages={
          085716
        }
}
Magnetic storms constitute the most remarkable large-scale phenomena of nonlinear magnetospheric dynamics. Studying the dynamical organization of macroscopic variability in terms of geomagnetic activity index data by means of complexity measures provides a promising approach for identifying the underlying processes and associated time scales. Here, we apply a suite of characteristics from recurrence quantification analysis (RQA) and recurrence network analysis (RNA) in order to unveil some key… Expand
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