ENA data assimilation for modeling the ring current in the Earth's magnetosphere
Dr. NAKANO, Shin'ya
The Institute of Statistical Mathematics
4-6-7 Minami-Azabu, Minato City,
Tokyo 106-8569, JAPAN
Data assimilation is a technique which combines information of observations and our knowledge about physical laws described by a simulation model, and it offers a general framework for providing a best estimate of a state of dynamical systems.
Data assimilation techniques have been originally developed for applications in meteorology, and those framework are now widely used in various fields of geophysics.
We are developing a data assimilation scheme which incorporates ENA measurements from the IMAGE satellite into a kinetic ring current model in order to obtain a realistic estimate of the temporal evolution of the Earth's ring current. It has been basically difficult to model a temporal variation of the global ring current distribution due to the lack of observations. However, the assimilation of the global ENA data allows us to obtain a quantitatively realistic physical model of the ring current. In this presentation, our data assimilation scheme is introduced, and some results and implications are discussed.
Created 2008-01-17 10:34:25 by Mats HolmstrÃ¶m Last changed 2008-01-18 13:48:17 by Mats HolmstrÃ¶m