Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/13657
Authors: Alberti, Tommaso* 
Lekscha, Jaqueline* 
Consolini, Giuseppe* 
De Michelis, Paola* 
Donner, Reik* 
Title: Disentangling nonlinear geomagnetic variability during magnetic storms and quiescence by timescale dependent recurrence properties
Journal: Journal of Space Weather and Space Climate 
Series/Report no.: /10 (2020)
Issue Date: 2020
DOI: 10.1051/swsc/2020026
Keywords: Earth's magnetospheric dynamics
geomagnetic storms and substorms
empirical mode decomposition
geomagnetic indices
Subject Classification04.05. Geomagnetism
01.03. Magnetosphere 
Abstract: 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.
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