HR: 0830h
AN: SM51B-0526    [PDF]
TI: Adaptive Prediction of Radiation Belt Electrons with the Extended Kalman Filter
AU: * Rigler, E J
EM: jrigler@colorado.edu
AF: Laboratory for Atmospheric and Space Physics (LASP) University of Colorado, 1234 Innovation Drive, Boulder, CO 80303 United States
AU: Baker, D N
EM: daniel.baker@lasp.colorado.edu
AF: Laboratory for Atmospheric and Space Physics (LASP) University of Colorado, 1234 Innovation Drive, Boulder, CO 80303 United States
AU: Weigel, R S
EM: robert.weigel@lasp.colorado.edu
AF: Laboratory for Atmospheric and Space Physics (LASP) University of Colorado, 1234 Innovation Drive, Boulder, CO 80303 United States
AU: Vassiliadis, D
AF: Universities Space Research Association NASA / Goddard Space Flight Center, Code 692, Greenbelt, MD 20771 United States
AU: Klimas, A J
AF: NASA / Goddard Space Flight Center, Code 692, Greenbelt, MD 20771 United States
AB: We use an Extended Kalman Filter (EKF) in an adaptive system identification scheme to estimate the time-varying coefficients of multichannel linear prediction filters. This makes it possible to track the non-linear response of relativistic electrons to changing solar wind inputs using simple linear models. These non-time-stationary response profiles provide a unique, and potentially enlightening, view of the spatial distribution and temporal evolution of the solar wind-driven dynamics governing the Earth's radiation belts. Namely, one is able to more easily identify a variety of time-dependencies (from solar rotation to solar cycle scales) in the coupling efficiency between the solar wind and radiation belt electrons than can help confirm or refute existing physical theories.
DE: 2720 Energetic particles, trapped
DE: 2722 Forecasting
DE: 2740 Magnetospheric configuration and dynamics
DE: 2784 Solar wind/magnetosphere interactions
SC: SPA - Magnetospheric Physics [SM]
MN: 2003 Fall Meeting