HR: 15:10h
AN: SM43E-06    [Abstracts]
TI: Studying Radiation Belt Enhancements using an Adaptive Kalman Filter
AU: * Koller, J
EM: jkoller@lanl.gov
AF: Los Alamos National Lab, Space Science and Applications PO Box 1664, MS D466, Los Alamos, NM 87544, United States
AU: Reeves, G D
EM: reeves@lanl.gov
AF: Los Alamos National Lab, Space Science and Applications PO Box 1664, MS D466, Los Alamos, NM 87544, United States
AU: Chen, Y
EM: cheny@lanl.gov
AF: Los Alamos National Lab, Space Science and Applications PO Box 1664, MS D466, Los Alamos, NM 87544, United States
AU: Friedel, R H
EM: friedel@lanl.gov
AF: Los Alamos National Lab, Space Science and Applications PO Box 1664, MS D466, Los Alamos, NM 87544, United States
AB: The highly energetic electron environment in the inner magnetosphere undergoes dramatic changes caused by wave-particle interactions. Competing physical processes are at play and can either transport energetic electrons, accelerate them, or move them into the loss cone. Radiation belt enhancements through electron accelerations are usually significant during the recovery phase of a geomagnetic storm and can even reach higher flux levels than before the storm. We will present results from studying the radiation belt enhancements using our data assimilation framework that combines phase space density data from several satellites with predictions from a radiation belt diffusion code. This quantitative comparison of data and model output enables us to estimate where forecast and observations drift apart. In addition, our framework can automatically estimate the location of active acceleration regions and the overall efficiency of wave-particle interactions. We will use our recently developed residual method to quantitatively evaluate the effect of different physical processes on the forecast capability of our model. Specifically, we will look at the effect of adding an artificial source term in the shape of a Gaussian distribution to the radial diffusion equation. Our data assimilation framework will then estimate the most likely position of the energetic electron source region, its width and amplitude as a function of L* and time.
DE: 2774 Radiation belts
DE: 7954 Magnetic storms (2788)
DE: 7959 Models
DE: 7984 Space radiation environment
SC: SPA-Magnetospheric Physics [SM]
MN: 2007 Fall Meeting