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

0573720 - ÚI 2024 RIV DE eng J - Článek v odborném periodiku
Balasis, G. - Balikhin, M. A. - Chapman, S. - Consolini, G. - Daglis, I. A. - Donner, R.V. - Kurths, J. - Paluš, Milan - Runge, J. - Tsurutani, B. T. - Vassiliadis, D. - Wing, S. - Gjerloev, J. W. - Johnson, J. - Materassi, M. - Alberti, T. - Papadimitriou, V. C. - Manshour, Pouya - Boutsi, A. Z. - Stumpo, M.
Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges.
Space Science Reviews. Roč. 291, č. 5 (2023), č. článku 38. ISSN 0038-6308. E-ISSN 1572-9672
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: Solar wind * magnetosphere * ionosphere coupling * Magnetic storms * Magnetospheric substorms * Space weather * Nonlinear dynamics * Complex systems
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 10.3, rok: 2022
Způsob publikování: Open access
https://dx.doi.org/10.1007/s11214-023-00979-7

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.
Trvalý link: https://hdl.handle.net/11104/0344102