HR: 11:50h
AN: SM12B-06    [Abstracts]
TI: Radiation Belt Diffusion Parameter Estimation With an Adaptive Kalman Filter
AU: * Koller, J
EM: jkoller@lanl.gov
AF: Los Alamos National Lab, PO Box 1663, MS D466, Los Alamos, NM 87545 United States
AU: Friedel, R H
EM: friedel@lanl.gov
AF: Los Alamos National Lab, PO Box 1663, MS D466, Los Alamos, NM 87545 United States
AB: The highly energetic electron environment in the inner magnetosphere has received a lot of attention. The physical processes that determine the dynamics (acceleration, loss, and transport) of relativistic electrons are necessary to understand because dynamic variations in this environment can negatively impact the space hardware that our society increasingly depends on. We use the techniques of data assimilation and apply them to radial diffusion of electrons in the radiation belts. Specifically, the unscented Kalman filter, which is a newly developed method, can recursively determine the diffusion coefficients with an augmented state vector approach. We apply this method in an identical twin experiment to virtual geomagnetic storms and discuss how this could potentially pin-down time-dependent diffusion parameters. We will also investigate the role of data sampling frequencies versus data uncertainty and answer the question if we simply need more data or if we need higher data quality in order to better determine the diffusion parameters and the underlying physical processes.
DE: 2753 Numerical modeling
DE: 2774 Radiation belts
DE: 7954 Magnetic storms (2788)
DE: 7959 Models
SC: SPA-Magnetospheric Physics [SM]
MN: Fall Meeting 2005