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

Authors

Georgios Balasis, National Observatory of AthensFollow
Michael A. Balikhin, University of SheffieldFollow
Sandra C. Chapman, University of WarwickFollow
Giuseppe Consolini, Istituto Nazionale di Astrofisica, Rome
Ioannis A. Daglis, National and Kapodistrian University of AthensFollow
Reik V. Donner, Hochschule Magdeburg-StendalFollow
Jürgen Kurths, Potsdam Institut fur KlimafolgenforschungFollow
Milan Paluš, Academy of Sciences of the Czech RepublicFollow
Jakob Runge, Deutsches Zentrum für Luft- und Raumfahrt (DLR)Follow
Bruce T. Tsurutani, California Institute of TechnologyFollow
Dimitris Vassiliadis, NOAA's National Environmental Satellite, Data, and Information Service
Simon Wing, Johns Hopkins UniversityFollow
Jesper W. Gjerloev, Johns Hopkins UniversityFollow
Jay Johnson, Andrews UniversityFollow
Massimo Materassi, Istituto dei Sistemi ComplessiFollow
Tommaso Alberti, Istituto Nazionale di Geofisica e VulcanologiaFollow
Constantinos Papadimitriou, National Observatory of AthensFollow
Pouya Manshour, Academy of Sciences of the Czech RepublicFollow
Adamantia Zoe Boutsi, National Observatory of AthensFollow
Mirko Stumpo, Istituto Nazionale di AstrofisicaFollow

Document Type

Article

Publication Date

7-12-2023

Keywords

Complex systems, Magnetic storms, Magnetospheric substorms, Nonlinear dynamics, Solar wind – magnetosphere – ionosphere coupling, Space weather

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.

Journal Title

Space Science Reviews

Volume

219

Issue

5

DOI

https://doi.org/10.1007/s11214-023-00979-7

First Department

Engineering

Recommended Citation

Balasis, Georgios; Balikhin, Michael A.; Chapman, Sandra C.; Consolini, Giuseppe; Daglis, Ioannis A.; Donner, Reik V.; Kurths, Jürgen; Paluš, Milan; Runge, Jakob; Tsurutani, Bruce T.; Vassiliadis, Dimitris; Wing, Simon; Gjerloev, Jesper W.; Johnson, Jay; Materassi, Massimo; Alberti, Tommaso; Papadimitriou, Constantinos; Manshour, Pouya; Boutsi, Adamantia Zoe; and Stumpo, Mirko, "Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges" (2023). Faculty Publications. 5000.
https://digitalcommons.andrews.edu/pubs/5000

Acknowledgements

Retrieved via Open Access from https://link.springer.com/article/10.1007/s11214-023-00979-7