How sensitive is reanalysis, using the UCLA 1-D VERB code, to boundary conditions and changes in the loss model?

Physics

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[2753] Magnetospheric Physics / Numerical Modeling, [2774] Magnetospheric Physics / Radiation Belts

Scientific paper

We present reanalysis of assimilated data using the UCLA 1-D VERB code at higher L* than previously used. Moving the outer boundary to L* = 10 may improve the reanalysis since more data is blended with the radiation belt model. Simulations show that in the heart of the radiation belts, L* < 6, the effect of the boundary condition is negligible. We also analyze the sensitivity of the code to changes in the loss model, and how sensitive the code is to the initial condition, showing that the results of the data assimilation using the Kalman filter can reliably reproduce phase space density in the heart of the radiation belts. This work demonstrates that the reanalysis using the UCLA 1-D VERB code can be used with other data sources such as THEMIS, CRRES, and POLAR at higher L*. By assimilating more data, the reanalysis can be improved to more accurately reproduce the radiation belt, especially during geomagnetically disturbed times when basic physical models in general are oversimplified.

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