Physics
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsm53c..05j&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SM53C-05
Physics
[2722] Magnetospheric Physics / Forecasting, [2740] Magnetospheric Physics / Magnetospheric Configuration And Dynamics, [2768] Magnetospheric Physics / Plasmasphere, [7959] Space Weather / Models
Scientific paper
The plasmasphere is an important medium for propagation of the waves which contribute to the decay and acceleration of energetic particles in the radiation belts and ring current. Accurate knowledge of the plasmasphere evolution is thus an important element for accurately predicting the evolution of the energetic particle populations. A variety of routine measurements provide information about the plasmasphere, including ground-based and space-based magnetic field measurements, space based in-situ plasma density measurements, whistler wave measurements, TEC measurements from GPS receivers, and in some cases global EUV images. Combining these measurements with a physics-based model through a data assimilation scheme should, in principle, allow a better specification of the plasmasphere. Other information which can be used include information about the global magnetic and electric fields from a combination of measurements and models. In this paper we will discuss modeling the plasmasphere using ground-based field-line resonance measurements. The advantages of ground-based measurements over space-based measurements are the longevity of the magnetometer arrays, the potentially greater simultaneous coverage in local time and L-shell (as opposed to single-point satellite measurements), and the lower cost of maintaining the networks. In this paper we will explore using a network of ground-based magnetometers to constrain the evolution of the plasmasphere through a data assimilation scheme. We will use the Ober et al. [1997] plasmasphere model, a particle filter data assimilation scheme, and simulated field-line resonance measurements as well as measurements from the McMAC, MEASURE, SAMBA, and CARISMA, magnetometer arrays.
Chi Peter J.
Jorgensen Anders Moller
McCarthy Nathalie
Moldwin Mark
Ober Daniel M.
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