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  Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges

Balasis, G., Balikhin, M. A., Chapman, S. C., Consolini, G., Daglis, I. A., Donner, R. V., Kurths, J., Paluš, M., Runge, J., Tsurutani, B. T., Vassiliadis, D., Wing, S., Gjerloev, J. W., Johnson, J., Materassi, M., Alberti, T., Papadimitriou, C., Manshour, P., Boutsi, A. Z., Stumpo, M. (2023): Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges. - Space Science Reviews, 219, 38.
https://doi.org/10.1007/s11214-023-00979-7

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 Creators:
Balasis, Georgios1, Author
Balikhin, Michael A.1, Author
Chapman, Sandra C.1, Author
Consolini, Giuseppe1, Author
Daglis, Ioannis A.1, Author
Donner, Reik V.2, Author              
Kurths, Jürgen2, Author              
Paluš, Milan1, Author
Runge, Jakob1, Author
Tsurutani, Bruce T.1, Author
Vassiliadis, Dimitris1, Author
Wing, Simon1, Author
Gjerloev, Jesper W.1, Author
Johnson, Jay1, Author
Materassi, Massimo1, Author
Alberti, Tommaso1, Author
Papadimitriou, Constantinos1, Author
Manshour, Pouya1, Author
Boutsi, Adamantia Zoe1, Author
Stumpo, Mirko1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Learning from successful applications of methods originating in statistical mechanics, complex systems science, or information theory in one scientific field (e.g., atmospheric physics or climatology) can provide important insights or conceptual ideas for other areas (e.g., space sciences) or even stimulate new research questions and approaches. For instance, quantification and attribution of dynamical complexity in output time series of nonlinear dynamical systems is a key challenge across scientific disciplines. Especially in the field of space physics, an early and accurate detection of characteristic dissimilarity between normal and abnormal states (e.g., pre-storm activity vs. magnetic storms) has the potential to vastly improve space weather diagnosis and, consequently, the mitigation of space weather hazards. This review provides a systematic overview on existing nonlinear dynamical systems-based methodologies along with key results of their previous applications in a space physics context, which particularly illustrates how complementary modern complex systems approaches have recently shaped our understanding of nonlinear magnetospheric variability. The rising number of corresponding studies demonstrates that the multiplicity of nonlinear time series analysis methods developed during the last decades offers great potentials for uncovering relevant yet complex processes interlinking different geospace subsystems, variables and spatiotemporal scales.

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Language(s): eng - English
 Dates: 2023-07-122023-07-12
 Publication Status: Finally published
 Pages: 82
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11214-023-00979-7
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD1 - Earth System Analysis
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Planetary Boundaries
Model / method: Nonlinear Data Analysis
OATYPE: Hybrid Open Access
 Degree: -

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Title: Space Science Reviews
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 219 Sequence Number: 38 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals458
Publisher: Springer