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Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges
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SYSNO ASEP 0573720 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges Tvůrce(i) Balasis, G. (GR)
Balikhin, M. A. (GB)
Chapman, S. (GB)
Consolini, G. (IT)
Daglis, I. A. (GR)
Donner, R.V. (DE)
Kurths, J. (DE)
Paluš, Milan (UIVT-O) RID, SAI, ORCID
Runge, J. (DE)
Tsurutani, B. T. (US)
Vassiliadis, D. (US)
Wing, S. (US)
Gjerloev, J. W. (US)
Johnson, J. (US)
Materassi, M. (IT)
Alberti, T. (IT)
Papadimitriou, V. C. (GR)
Manshour, Pouya (UIVT-O) ORCID, RID, SAI
Boutsi, A. Z. (GR)
Stumpo, M. (IT)Číslo článku 38 Zdroj.dok. Space Science Reviews. - : Springer - ISSN 0038-6308
Roč. 291, č. 5 (2023)Poč.str. 82 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. DE - Německo Klíč. 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) Způsob publikování Open access Institucionální podpora UIVT-O - RVO:67985807 UT WOS 001027232200001 EID SCOPUS 85165225728 DOI 10.1007/s11214-023-00979-7 Anotace 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. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2024 Elektronická adresa https://dx.doi.org/10.1007/s11214-023-00979-7
Počet záznamů: 1