Literature DB >> 30451956

Common solar wind drivers behind magnetic storm-magnetospheric substorm dependency.

Jakob Runge1,2,3, Georgios Balasis4, Ioannis A Daglis4,5, Constantinos Papadimitriou4, Reik V Donner6,7.   

Abstract

The dynamical relationship between magnetic storms and magnetospheric substorms is one of the most controversial issues of contemporary space research. Here, we address this issue through a causal inference approach to two corresponding indices in conjunction with several relevant solar wind variables. We find that the vertical component of the interplanetary magnetic field is the strongest and common driver of both storms and substorms. Further, our results suggest, at least based on the analyzed indices, that there is no statistical evidence for a direct or indirect dependency between substorms and storms and their statistical association can be explained by the common solar drivers. Given the powerful statistical tests we performed (by simultaneously taking into account time series of indices and solar wind variables), a physical mechanism through which substorms directly or indirectly drive storms or vice versa is, therefore, unlikely.

Entities:  

Year:  2018        PMID: 30451956      PMCID: PMC6242910          DOI: 10.1038/s41598-018-35250-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  12 in total

1.  Multifractal structure of auroral electrojet index data.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-05-20       Impact factor: 9.161

2.  Estimating mutual information.

Authors:  Alexander Kraskov; Harald Stögbauer; Peter Grassberger
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-23

3.  Quantifying information transfer and mediation along causal pathways in complex systems.

Authors:  Jakob Runge
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-12-28

4.  On studentising and blocklength selection for the bootstrap on time series.

Authors:  M Peifer; B Schelter; B Guschlbauer; B Hellwig; C H Lücking; J Timmer
Journal:  Biom J       Date:  2005-06       Impact factor: 2.207

5.  Partial mutual information for coupling analysis of multivariate time series.

Authors:  Stefan Frenzel; Bernd Pompe
Journal:  Phys Rev Lett       Date:  2007-11-14       Impact factor: 9.161

6.  Block-bootstrapping for noisy data.

Authors:  Malenka Mader; Wolfgang Mader; Linda Sommerlade; Jens Timmer; Björn Schelter
Journal:  J Neurosci Methods       Date:  2013-08-08       Impact factor: 2.390

7.  Optimal model-free prediction from multivariate time series.

Authors:  Jakob Runge; Reik V Donner; Jürgen Kurths
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-05-13

8.  Causal network reconstruction from time series: From theoretical assumptions to practical estimation.

Authors:  J Runge
Journal:  Chaos       Date:  2018-07       Impact factor: 3.642

9.  Escaping the curse of dimensionality in estimating multivariate transfer entropy.

Authors:  Jakob Runge; Jobst Heitzig; Vladimir Petoukhov; Jürgen Kurths
Journal:  Phys Rev Lett       Date:  2012-06-21       Impact factor: 9.161

10.  Identifying causal gateways and mediators in complex spatio-temporal systems.

Authors:  Jakob Runge; Vladimir Petoukhov; Jonathan F Donges; Jaroslav Hlinka; Nikola Jajcay; Martin Vejmelka; David Hartman; Norbert Marwan; Milan Paluš; Jürgen Kurths
Journal:  Nat Commun       Date:  2015-10-07       Impact factor: 14.919

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  5 in total

1.  Detecting and quantifying causal associations in large nonlinear time series datasets.

Authors:  Jakob Runge; Peer Nowack; Marlene Kretschmer; Seth Flaxman; Dino Sejdinovic
Journal:  Sci Adv       Date:  2019-11-27       Impact factor: 14.136

2.  Measuring Information Coupling between the Solar Wind and the Magnetosphere-Ionosphere System.

Authors:  Mirko Stumpo; Giuseppe Consolini; Tommaso Alberti; Virgilio Quattrociocchi
Journal:  Entropy (Basel)       Date:  2020-02-28       Impact factor: 2.524

3.  Dynamical Complexity of the 2015 St. Patrick's Day Magnetic Storm at Swarm Altitudes Using Entropy Measures.

Authors:  Constantinos Papadimitriou; Georgios Balasis; Adamantia Zoe Boutsi; Ioannis A Daglis; Omiros Giannakis; Anastasios Anastasiadis; Paola De Michelis; Giuseppe Consolini
Journal:  Entropy (Basel)       Date:  2020-05-19       Impact factor: 2.524

Review 4.  Applications of Information Theory in Solar and Space Physics.

Authors:  Simon Wing; Jay R Johnson
Journal:  Entropy (Basel)       Date:  2019-02-01       Impact factor: 2.524

5.  Causality and Information Transfer Between the Solar Wind and the Magnetosphere-Ionosphere System.

Authors:  Pouya Manshour; Georgios Balasis; Giuseppe Consolini; Constantinos Papadimitriou; Milan Paluš
Journal:  Entropy (Basel)       Date:  2021-03-25       Impact factor: 2.524

  5 in total

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