An Approach for Exploring the Dynamics of the Plasmasphere Using Data Assimilation of IMAGE/EUV Data

Details An Approach for Exploring the Dynamics of the Plasmasphere Using Data Assimilation of IMAGE/EUV Data An Approach for Exploring the Dynamics of the Plasmasphere Using Data Assimilation of IMAGE/EUV Data

Dec 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufmsm33a2145n&link_type=abstract

American Geophysical Union, Fall Meeting 2011, abstract #SM33A-2145

Physics

[2730] Magnetospheric Physics / Magnetosphere: Inner, [2736] Magnetospheric Physics / Magnetosphere/Ionosphere Interactions, [2753] Magnetospheric Physics / Numerical Modeling, [2768] Magnetospheric Physics / Plasmasphere

Scientific paper

The plasmasphere is the region filled with cold dense plasma in the inner magnetosphere and the dynamics of the plasmaspheric plasma is mainly controlled by the electric field imposed on this region. The electric field in the inner magnetosphere is significantly influenced by the interaction between the ionosphere and the magnetosphere, and thus the interacting processes between the ionosphere and the magnetosphere would make significant effects on the dynamics of the plasmasphere. In order to understand the dynamics of the plasmasphere as a result of the coupling processes among the ionosphere, the magnetosphere, and the plasmasphere, we employ a data assimilation approach combining the extreme ultra-violet (EUV) data from the IMAGE satellite with a physical model of the plasmasphere. The IMAGE/EUV data provides the information about the global structure of the plasmasphere. The physical model describes the temporal evolution of the spatial structure of the plasmasphere under a given electric potential distribution, and thus it provides the relationship between the the structure of the plasmasphere and the electric potential distribution. Combining the EUV imaging data and the physical model of the plasmasphere using the data assimilation technique, we estimate the spatial distribution of the electric potential as well as that of the plasmaspheric plasma. The framework of this EUV data assimilation is similar to that of the energetic neutral atom (ENA) data assimilation in our previous study, which provides the estimates of the temporal and spatial variations of the ring current. We will provide the overview of our approach and demonstrate some examples of the estimates obtaind by this approach.

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