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| Titel |
Evaluating the Accuracy of Plasmasphere Data Assimilation from Ground-Based Observations |
| VerfasserIn |
Anders M. Jorgensen, János Lichtenberger, Jared Duffy, Reiner Friedel, Mark Clilverd, Balázs Heilig, Massimo Vellante, Tero Raita, Craig Rodger, Andrew Collier, Jan Reda, Robert Holzworth, Daniel Ober, Athanasios Boudouridis, Eftyhia Zesta, Peter J. Chi |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250078172
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| Zusammenfassung |
| VLF and magnetometer observations can be used to remotely sense the plasmasphere. VLF whistler waves can be used to measure the electron density and magnetic Field Line Resonance (FLR) measurements can be used to measure the mass density. In principle it is then possible to remotely map the plasmasphere with a network of ground-based stations which are also less expensive and more permanent than satellites. The PLASMON project, funded by the EU FP-7 program, is in the process of doing just this. A large number of ground-based observations will be input into a data assimilative framework which models the plasmasphere structure and dynamics. The data assimilation framework combines the Ensemble Kalman Filter with the Dynamic Global Core Plasma Model. Here we simulate the observations from these networks, with appropriate uncertainties, and use them to drive the data assimilation framework to recover the plasmaspheric configuration. We will discuss the level of accuracy that can be achieved. |
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