Solar Wind-Driven Radiation Belt Response Functions at Sub-Daily Time Scales Using SAMPEX Orbit-Averaged Electron Fluxes

Details Solar Wind-Driven Radiation Belt Response Functions at Sub-Daily Time Scales Using SAMPEX Orbit-Averaged Electron Fluxes Solar Wind-Driven Radiation Belt Response Functions at Sub-Daily Time Scales Using SAMPEX Orbit-Averaged Electron Fluxes

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsm52a..10r&link_type=abstract

American Geophysical Union, Spring Meeting 2002, abstract #SM52A-10

Physics

2720 Energetic Particles, Trapped, 2722 Forecasting, 2784 Solar Wind/Magnetosphere Interactions, 2794 Instruments And Techniques

Scientific paper

Comprehensive studies of radiation belt dynamics using linear prediction filters (LPFs) were first published by Nagai (1988) and Baker et al. (1990). These studies focused primarily on short-term predictions of daily averaged radiation flux at geostationary orbit using either global magnetospheric indices, or the speed of the solar wind impinging the Earth's magnetosphere. Using daily solar wind data from the NSSDC's OMNI database and SAMPEX 2-6MeV omni-directional electron fluxes at various magnetic L-shells, Vassiliadis et al. (2002) combined linear response functions across L-shells to provide a novel means of visualizing the dynamic response of relativistic radiation belt electrons to solar wind input. Several physical interpretations and implications were gleaned from the results, including a demonstration of strong seasonal and solar cycle dependent variations in the global response function, as well as the existence of an immediate and short-lived, quasi-adiabatic peak in the response functions just outside of the slot region, but inside the heart of the outer electron belt. Our recent studies have demonstrated the ability of autoregressive (AR) filters to remove autocorrelations associated primarily with the diurnal variation observed in radiation belt data sets. Here we extend prior work by the previously mentioned authors by effectively removing diurnal variations in SAMPEX orbit-averaged electron data, and analyzing the linear prediction filters at sub-daily time scales. Several interesting new features become visible only at this higher time resolution, including a substantial negative response in the hours immediately following a solar wind event for L-shells from approximately 4.5-8, as well as significant temporal structure to the quasi-adiabatic peak observed by Vassiliadis and colleagues. The main features observed at daily time scales become readily apparent when the filters are smoothed appropriately.

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