Complex systems methods characterizing nonlinear processes in the near-Earth electromagnetic environment: recent advances and open challenges

Balasis, G. orcid.org/0000-0001-7342-0557, Balikhin, M.A., Chapman, S.C. et al. (17 more authors) (2023) Complex systems methods characterizing nonlinear processes in the near-Earth electromagnetic environment: recent advances and open challenges. Space Science Reviews, 219 (5). 38. ISSN 0038-6308

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Balasis, G. ORCID logo https://orcid.org/0000-0001-7342-0557
  • 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.
Copyright, Publisher and Additional Information:

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Solar wind – magnetosphere – ionosphere coupling; Magnetic storms Magnetospheric substorms; Space weather; Nonlinear dynamics; Complex systems
Dates:
  • Published: 12 July 2023
  • Published (online): 12 July 2023
  • Accepted: 25 May 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jul 2023 13:19
Last Modified: 21 Aug 2023 10:39
Published Version: http://dx.doi.org/10.1007/s11214-023-00979-7
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s11214-023-00979-7
Open Archives Initiative ID (OAI ID):

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