HR: 0800h
AN: SM41A-1101    [Abstracts]
TI: Radiation Belt Modeling and Data Assimilation with Salammbo
AU: * Koller, J
EM: jkoller@lanl.gov
AF: Los Alamos National Laboratory Space and Atmospheric Sciences, ISR-1, MS D466 P.O. Box 1663, Los Alamos, NM 87544 United States
AU: Friedel, R H
EM: friedel@lanl.gov
AF: Los Alamos National Laboratory Space and Atmospheric Sciences, ISR-1, MS D466 P.O. Box 1663, Los Alamos, NM 87544 United States
AU: Bourdarie, S
EM: Sebastien.Bourdarie@onecert.fr
AF: ONERA/DESP Radiation and Charge Effects Unit, BP 4025 - 2 Avenue Edouard Belin, Toulouse, 31055 France
AB: The dynamic processes in the radiation belt, especially relativistic electron acceleration and transport, are not fully understood. Currently, neither data-based statistical models nor physics based models alone can capture all of the observed dynamics. Here, we combine the extensive observational data of energetic electrons in the inner magnetosphere with a physical model of transport processes in the radiation belt using the diffusion code Salammbo. Initial data comes from the LANL GEO and GPS constellation and Polar. Based on data assimilation methods of numerical weather prediction (nudging, Cressman analysis, successive correction method, Kalman filter), the information from measurements is propagated not only in time but also in space into so-called data voids or holes. We present here details and problems about data assimilation methods as applied to sparse space physics data and discuss the results we obtained.
DE: 2716 Energetic particles, precipitating
DE: 2722 Forecasting
DE: 2753 Numerical modeling
DE: 2788 Storms and substorms
SC: SPA-Magnetospheric Physics [SM]
MN: 2004 AGU Fall Meeting