Untangling solar wind drivers of the outer radiation belt with information theory

Thursday, 8 March 2018
Lakehouse (Hotel Quinta da Marinha)
Simon Wing, Johns Hopkins University, Baltimore, MD, United States, Jay Johnson, Andrews University, Berrien Springs, MI, United States, Enrico Camporeale, Center for Mathematics and Computer Science (CWI), Amsterdam, Netherlands and Geoffrey D Reeves, Los Alamos National Laboratory, 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 (MI), 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 (Vsw) to geosynchronous MeV electron flux (Je) peaks with a lag time (t) of 2 days. As previously reported, Je is anticorrelated with solar wind density (nsw) with a1 day. However, this lag time and anticorrelation can be attributed mainly to the Je(t + 2 days) correlation with Vsw(t) and nsw(t + 1 day) anticorrelation with Vsw(t). Analyses of solar wind driving of the magnetosphere need to consider the large lag times, up to 3 days, in the (Vsw, nsw) anticorrelation. Using CMI to remove the effects of Vsw, the response of Je to nsw is 30% smaller and has a lag time < 24 hr, suggesting that the MeV electron loss mechanism due to nsw or solar wind dynamic pressure has to start operating in < 24 hr. nsw transfers about 36% as much information as Vsw (the primary driver) to Je. Nonstationarity in the system dynamics are investigated using windowed TE. When the data is ordered according to high or low transfer entropy it is possible to understand details of the triangle distribution that has been identified between Je(t + 2 days) vs. Vsw(t).
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