Simulation on the solar cycle variation of the radiation belts - Evaluation on time variation of radial diffusion -

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2720 Energetic Particles, Trapped, 2730 Magnetosphere: Inner, 2753 Numerical Modeling, 2788 Storms And Substorms

Scientific paper

So far, we have performed the analysis to investigate solar cycle variations of the energetic electros in the radiation belts using the data set from the TIROS/NOAA satellites (1979-) and the EXOS-D satellite (1989-). It is confirmed that there exists the synchronized variation with the solar cycle in both the inner and outer radiation belts. It is also revealed that the spatial structure of the outer radiation belt changes during the solar cycle. As the result, there are phase differences in flux variation among the location of the outer belt. In order to investigate the control parameters for the long-term variation of the radiation belts, we have developed numerical code on the radial diffusion expressed by the Fokker-Planck equation. The model can cover the dynamics of whole radiation belts, and includes loss processes due to both Coulomb collisions with thermal plasma and wave-particle interaction with plasmasheric hiss. To examine the effect of the variation of the particle transport efficiency, we fix parameters such as wave amplitude, outer boundary condition and plasmapause location, except for the radial diffusion coefficients that are parameterized by Kp index. The model reproduces not only the solar cycle variation but also the semi-annual and recurrent variations of the flux in the inner portion of the outer belt. The evolution of the slot region is also reproduced despite constant plasma wave amplitude. The model, however, cannot reproduce the long-term variation of the flux around outer portion of the outer belt. This result means that the variations of the other parameters on source and losses are important for long-term variation of the outer belt besides the variation of the transport efficiency. Especially, it is important to examine the effect of internal acceleration process on the long-term variation.

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