Articles | Volume 36, issue 4
https://doi.org/10.5194/angeo-36-945-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-36-945-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
ANGEO Communicates
| Highlight paper
| 
02 Jul 2018
ANGEO Communicates | Highlight paper |
| 02 Jul 2018
| 02 Jul 2018
Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to Dst
Jay R. Johnson
CORRESPONDING AUTHOR
Andrews University, Berrien Springs, MI, USA
Simon Wing
The Johns Hopkins University, Applied Physics Laboratory, Laurel, MD, USA
Enrico Camporeale
Center for Mathematics and Computer Science (CWI), Amsterdam, the Netherlands
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Cited
21 citations as recorded by crossref.
- Untangling the Solar Wind and Magnetospheric Drivers of the Radiation Belt Electrons S. Wing et al. 10.1029/2021JA030246
- Quantifying the non-linear dependence of energetic electron fluxes in the Earth's radiation belts with radial diffusion drivers A. Osmane et al. 10.5194/angeo-40-37-2022
- Information Horizon of Solar Active Regions J. Johnson et al. 10.3847/2041-8213/acc58e
- Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges G. Balasis et al. 10.1007/s11214-023-00979-7
- Tsallis Entropy and Mutability to Characterize Seismic Sequences: The Case of 2007–2014 Northern Chile Earthquakes D. Pasten et al. 10.3390/e25101417
- The (un)predictable magnetosphere: the role of the internal dynamics T. Alberti 10.1017/S0022377822000137
- Preface: Information theory and machine learning for geospace research S. Wing & G. Balasis 10.1016/j.asr.2024.09.007
- Probabilistic prediction of geomagnetic storms and theKpindex S. Chakraborty & S. Morley 10.1051/swsc/2020037
- Dynamical Properties of Peak and Time‐Integrated Geomagnetic Events Inferred From Sample Entropy D. Mourenas et al. 10.1029/2019JA027599
- Driving Parameters for Multi‐MeV Electrons Flux Variations in Outer Radiation Belt G. Behailu et al. 10.1029/2021JA029625
- A survey of geomagnetic and plasma time lags in the solar-wind-driven magnetosphere of earth J. Borovsky 10.1016/j.jastp.2020.105376
- Applications of Information Theory in Solar and Space Physics S. Wing & J. Johnson 10.3390/e21020140
- Quantifying Contributions of External Drivers to the Global Ionospheric State X. Meng & O. Verkhoglyadova 10.1029/2021SW002752
- Information-theory-based System-level Babcock–Leighton Flux Transport Model–Data Comparisons S. Wing et al. 10.3847/2041-8213/ad94db
- Information Theoretical Approach to Understanding Flare Waiting Times J. Snelling et al. 10.3847/1538-4357/aba7b9
- Clustering Behavior in Solar Flare Dynamics E. Rivera et al. 10.3847/2041-8213/ac8de9
- How noise thresholds affect the information content of stellar flare sequences E. Rivera et al. 10.1051/0004-6361/202245309
- Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory G. Balasis et al. 10.3390/atmos14050890
- Relativistic electron (E>2MeV) flux driving parameters over geostationary orbit using 30 years of data G. B. et al. 10.1016/j.asr.2024.02.045
- Common solar wind drivers behind magnetic storm–magnetospheric substorm dependency J. Runge et al. 10.1038/s41598-018-35250-5
- Randomness in Sunspot Number: A Clue to Predict Solar Cycle 25 B. Kakad et al. 10.1007/s11207-020-01655-7
21 citations as recorded by crossref.
- Untangling the Solar Wind and Magnetospheric Drivers of the Radiation Belt Electrons S. Wing et al. 10.1029/2021JA030246
- Quantifying the non-linear dependence of energetic electron fluxes in the Earth's radiation belts with radial diffusion drivers A. Osmane et al. 10.5194/angeo-40-37-2022
- Information Horizon of Solar Active Regions J. Johnson et al. 10.3847/2041-8213/acc58e
- Complex Systems Methods Characterizing Nonlinear Processes in the Near-Earth Electromagnetic Environment: Recent Advances and Open Challenges G. Balasis et al. 10.1007/s11214-023-00979-7
- Tsallis Entropy and Mutability to Characterize Seismic Sequences: The Case of 2007–2014 Northern Chile Earthquakes D. Pasten et al. 10.3390/e25101417
- The (un)predictable magnetosphere: the role of the internal dynamics T. Alberti 10.1017/S0022377822000137
- Preface: Information theory and machine learning for geospace research S. Wing & G. Balasis 10.1016/j.asr.2024.09.007
- Probabilistic prediction of geomagnetic storms and theKpindex S. Chakraborty & S. Morley 10.1051/swsc/2020037
- Dynamical Properties of Peak and Time‐Integrated Geomagnetic Events Inferred From Sample Entropy D. Mourenas et al. 10.1029/2019JA027599
- Driving Parameters for Multi‐MeV Electrons Flux Variations in Outer Radiation Belt G. Behailu et al. 10.1029/2021JA029625
- A survey of geomagnetic and plasma time lags in the solar-wind-driven magnetosphere of earth J. Borovsky 10.1016/j.jastp.2020.105376
- Applications of Information Theory in Solar and Space Physics S. Wing & J. Johnson 10.3390/e21020140
- Quantifying Contributions of External Drivers to the Global Ionospheric State X. Meng & O. Verkhoglyadova 10.1029/2021SW002752
- Information-theory-based System-level Babcock–Leighton Flux Transport Model–Data Comparisons S. Wing et al. 10.3847/2041-8213/ad94db
- Information Theoretical Approach to Understanding Flare Waiting Times J. Snelling et al. 10.3847/1538-4357/aba7b9
- Clustering Behavior in Solar Flare Dynamics E. Rivera et al. 10.3847/2041-8213/ac8de9
- How noise thresholds affect the information content of stellar flare sequences E. Rivera et al. 10.1051/0004-6361/202245309
- Investigation of Dynamical Complexity in Swarm-Derived Geomagnetic Activity Indices Using Information Theory G. Balasis et al. 10.3390/atmos14050890
- Relativistic electron (E>2MeV) flux driving parameters over geostationary orbit using 30 years of data G. B. et al. 10.1016/j.asr.2024.02.045
- Common solar wind drivers behind magnetic storm–magnetospheric substorm dependency J. Runge et al. 10.1038/s41598-018-35250-5
- Randomness in Sunspot Number: A Clue to Predict Solar Cycle 25 B. Kakad et al. 10.1007/s11207-020-01655-7
Latest update: 25 Dec 2024
Short summary
The magnetospheric response to the solar wind is nonlinear. Information theoretical tools are able to characterize the nonlinearities in the system. We show that nonlinear significance of Dst peaks at lags of 3–12 hours which can be attributed to VBs, which also exhibits similar behavior. However, the nonlinear significance that peaks at lags of 25, 50, and 90 hours can be attributed to internal dynamics, which may be related to the relaxation of the ring current.
The magnetospheric response to the solar wind is nonlinear. Information theoretical tools are...
