Japan Geoscience Union Meeting 2015

Presentation information

International Session (Oral)

Symbol P (Space and Planetary Sciences) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM08] Progress in Physics of the Inner Magnetosphere

Tue. May 26, 2015 4:15 PM - 6:00 PM 302 (3F)

Convener:*Danny Summers(Dept of Math and Stats,Memorial University of Newfoundland), Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Yoshizumi Miyoshi(Solar-Terrestrial Environement Laboratory, Nagoya University), Chair:Danny Summers(Dept of Math and Stats,Memorial University of Newfoundland)

4:35 PM - 4:50 PM

[PEM08-08] Data assimilation of ionospheric magnetic field perturbations into a global magnetospheric model.

*Dmitri KONDRASHOV1, Slava MERKIN2 (1.University of California, Los Angeles, 2.John Hopkins University, USA)

Keywords:data assimilation, ionosphere, MHD, magnetosphere

Ionosphere is tightly coupled with the magnetosphere and is the only region of geospace where in situ observations approaching global scale are possible. This capability is owing to the emergence of new datasets of key ionospheric measurements with global spatial and high-frequency temporal coverage, such as AMPERE (Active Magnetosphere and Planetary Electrodynamics Response Experiment) magnetic field data measured onboard Iridium satellites. We are reporting first results for assimilation of low-altitude ionospheric measurements of magnetic field perturbations into a Lyon-Fedder-Mobarry (LFM) global magnetospheric model coupled with Rice-Convection Model (RCM).

We adopt optimal interpolation approach and rely on quasi-steady, linear approximation between equatorial magnetospheric pressure and field-aligned currents in the ionosphere. This approximation is estimated numerically by perturbing the LFM-RCM model and by considering only large-scale modes from Fourier decomposition of the ionospheric magnetic field and equatorial magnetospheric pressure.

The developed methodology was validated by using so called "fraternal-twins" model-based assimilation tests. The numerical LFM-RCM model with one set of parameters is used to generate synthetic observations, while model with differing set of parameters is used for assimilation and to calculate magnetospheric pressure corrections to be applied in order to reproduce synthetic observations.