Electron data (0.1 to 1.7 MeV) from the Medium Electrons Aspectrometer on CRRES were used to train neural networks to predictdaily averages of energetic fluxes at 5 energies and 6 L-values usingthe daily sum of the Kp magnetic field index. The trained networks werethen used to process the entire Kp index from 1932 to 1996 (six completesolar cycles), providing daily estimates of the electron fluxes for theentire period. Superposed-epoch analysis of the six cycles shows thefluxes are minimum about six months after the solar sunspot minimum andmaximize about three years after sunspot maximum. The variation over thesolar cycle is about a factor of 2.3. Specific outputs from the studyinclude long-term averages of fluxes, peak flux vs. energy and L, andflux vs. frequency-of-occurrence tables. The outputs were then used togenerate a new model, ESA-SEE1, as an update to AE8. This studyindicates that AE8 has excessive fluxes above 1 MeV beyond L=5.5, withthe discrepancy being an order of magnitude at geosynchronous orbit. Thehigh energy electrons peak in L about 0.5 L lower than indicated by AE8
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