HR: 16:15h
AN: SM54A-02    [Abstracts]
TI: A statistical comparison of the AMIE derived and DMSP-IES particle drift velocities.
AU: * Kihn, E A
EM: Eric.A.Kihn@noaa.gov
AF: NOAA National Geophysical Data Center, 325 Broadway E/GC2, Boulder, CO 80305 United States
AU: Ridley, A J
EM: ridley@umich.edu
AF: University of Michigan CSEM, North Campus, Ann Arbor, MI 48109 United States
AU: Redmon, R
EM: Rob.Redmon@noaa.gov
AF: University of Colorado CIRES, 325 Broadway E/GC2, Boulder, CO 80305 United States
AB: The assimilative mapping of ionospheric electrodynamics (AMIE) technique utilizes a wide range of electrodynamics measurements to determine high latitude maps of the electric potential, electron particle precipitation (average energy and total energy flux), and ionospheric conductance (Hall and Pedersen). AMIE does this by conducting least squares fit to the difference between the data and a background model. This fit is then added to the background model. This allows for a very stable technique with even minimal amounts of data. The background models are typically statistical models that are driven by the solar wind and interplanetary magnetic field or the hemispheric power index. This study presents results of a statistical validation of the AMIE technique with respect to determined electric fields Specifically, we compare the AMIE derived particle drift velocities to DMSP-IES measurements during extended periods in 1998. We present the results of the comparison binned by MLT, IMF, and latitude and do statistical comparisons. This result is applicable to those using AMIE to describe the ionosphere in particular when coupled to MHD magnetospheric representations for example.
DE: 2704 Auroral phenomena (2407)
DE: 2712 Electric fields (2411)
DE: 2716 Energetic particles, precipitating
DE: 2722 Forecasting
SC: SPA-Magnetospheric Physics [SM]
MN: 2004 AGU Fall Meeting