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

Alberti, T., Lekscha, J., Consolini, G., De Michelis, P., Donner, R. V. (2020): Disentangling nonlinear geomagnetic variability during magnetic storms and quiescence by timescale dependent recurrence properties. - Journal of Space Weather and Space Climate, 10, 25.
https://doi.org/10.1051/swsc/2020026

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 Creators:
Alberti, Tommaso1, Author
Lekscha, Jaqueline2, Author              
Consolini, Giuseppe1, Author
De Michelis, Paola1, Author
Donner, Reik V.2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Free keywords: Earth’s magnetospheric dynamics / geomagnetic storms and substorms / empirical mode decomposition / recurrence analysis / geomagnetic indices
 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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 Dates: 2020-06-292020
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1051/swsc/2020026
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
MDB-ID: No data to archive
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Complex Networks
Research topic keyword: Atmosphere
Model / method: Nonlinear Data Analysis
Regional keyword: Global
Working Group: Development of advanced time series analysis techniques
 Degree: -

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Title: Journal of Space Weather and Space Climate
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 10 Sequence Number: 25 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_255
Publisher: EDP Sciences