Disentangling nonlinear geomagnetic variability during magnetic storms and quiescence by timescale dependent recurrence properties

• Main Authors: Alberti Tommaso, Lekscha Jaqueline, Consolini Giuseppe, De Michelis Paola, Donner Reik V.
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: Journal of Space Weather and Space Climate
• Subjects: earth’s magnetospheric dynamics; geomagnetic storms and substorms; empirical mode decomposition; recurrence analysis; geomagnetic indices
• Online Access: https://www.swsc-journal.org/articles/swsc/full_html/2020/01/swsc190069/swsc190069.html

Understanding the complex behavior of the near-Earth electromagnetic environment is one of the main challenges of Space Weather studies. This includes both the correct characterization of the different physical mechanisms responsible for its configuration and dynamics as well as the efforts which are needed for a correct forecasting of several phenomena. By using a nonlinear multi-scale dynamical systems approach, we provide here new insights into the scale-to-scale dynamical behavior of both quiet and disturbed periods of geomagnetic activity. The results show that a scale-dependent dynamical transition occurs when moving from short to long timescales, i.e., from fast to slow dynamical processes, the latter being characterized by a more regular behavior, while more dynamical anomalies are found in the behavior of the fast component. This suggests that different physical processes are typical for both dynamical regimes: the fast component, being characterized by a more chaotic and less predictable behavior, can be related to the internal dynamical state of the near-Earth electromagnetic environment, while the slow component seems to be less chaotic and associated with the directly driven processes related to the interplanetary medium variability. Moreover, a clear difference has been found between quiet and disturbed periods, the former being more complex than the latter. These findings support the view that, for a correct forecasting in the framework of Space Weather studies, more attention needs to be devoted to the identification of proxies describing the internal dynamical state of the near-Earth electromagnetic environment.