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Title: Information theoretical approach to discovering solar wind drivers of the outer radiation belt

Journal Article · · Journal of Geophysical Research. Space Physics
DOI:https://doi.org/10.1002/2016JA022711· OSTI ID:1402657
 [1];  [2]; ORCiD logo [3]; ORCiD logo [4]
  1. The Johns Hopkins Univ. Applied Physics Lab., Laurel, MD (United States)
  2. Princeton Univ., Princeton, NJ (United States); Andrews Univ., Berrien Springs, MI (United States)
  3. Center for Mathematics and Computer Science (CWI), Amsterdam (The Netherlands)
  4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Abstract The solar wind‐magnetosphere system is nonlinear. The solar wind drivers of geosynchronous electrons with energy range of 1.8–3.5 MeV are investigated using mutual information, conditional mutual information (CMI), and transfer entropy (TE). These information theoretical tools can establish linear and nonlinear relationships as well as information transfer. The information transfer from solar wind velocity ( V sw ) to geosynchronous MeV electron flux ( J e ) peaks with a lag time of 2 days. As previously reported, J e is anticorrelated with solar wind density ( n sw ) with a lag of 1 day. However, this lag time and anticorrelation can be attributed at least partly to the J e ( t  + 2 days) correlation with V sw ( t ) and n sw ( t  + 1 day) anticorrelation with V sw ( t ). Analyses of solar wind driving of the magnetosphere need to consider the large lag times, up to 3 days, in the ( V sw , n sw ) anticorrelation. Using CMI to remove the effects of V sw , the response of J e to n sw is 30% smaller and has a lag time < 24 h, suggesting that the MeV electron loss mechanism due to n sw or solar wind dynamic pressure has to start operating in < 24 h. n sw transfers about 36% as much information as V sw (the primary driver) to J e . Nonstationarity in the system dynamics is investigated using windowed TE. When the data are ordered according to transfer entropy value, it is possible to understand details of the triangle distribution that has been identified between J e ( t  + 2 days) versus V sw ( t ).

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
National Aeronautics and Space Administration (NASA); USDOE
Grant/Contract Number:
AC52-06NA25396; AGS‐1058456; DE‐AC02‐09CH11466
OSTI ID:
1402657
Alternate ID(s):
OSTI ID: 1402205
Report Number(s):
LA-UR-17-28042; TRN: US1703021
Journal Information:
Journal of Geophysical Research. Space Physics, Vol. 121, Issue 10; ISSN 2169-9380
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 67 works
Citation information provided by
Web of Science

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Cited By (9)

Systematic Analysis of Machine Learning and Feature Selection Techniques for Prediction of the Kp Index journal October 2019
Solar Wind Streams of Different Types and High-Latitude Substorms journal January 2019
Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to Dst journal January 2018
Recent Advances in the Study of Upward Field-aligned Currents Generated Near the Earth's Magnetopause Boundary book January 2018
Space Weather Effects in the Earth’s Radiation Belts journal December 2017
Information Theoretic Approach to Discovering Causalities in the Solar Cycle journal February 2018
Applications of Information Theory in Solar and Space Physics journal February 2019
Space Weather Effects in the Earth’s Radiation Belts book January 2017
The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting text January 2019

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