日本地球惑星科学連合2016年大会

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インターナショナルセッション(口頭発表)

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM07] Dynamics in magnetosphere and ionosphere

2016年5月25日(水) 09:00 〜 10:30 103 (1F)

コンビーナ:*三好 由純(名古屋大学宇宙地球環境研究所)、田中 良昌(国立極地研究所)、中溝 葵(情報通信研究機構 電磁波計測研究所)、尾崎 光紀(金沢大学理工研究域電子情報学系)、中野 慎也(情報・システム研究機構 統計数理研究所)、堀 智昭(名古屋大学宇宙地球環境研究所)、座長:田中 良昌(国立極地研究所)

10:15 〜 10:30

[PEM07-18] Data assimilation of low-altitude magnetic perturbations into a global magnetosphere model

*Dmitri Kondrashov1Slava Merkin2 (1.University of California, Los Angeles、2.Johns Hopkins University Applied Physics Laboratory)

The ionosphere is the only region of the terrestrial magnetosphere-ionosphere system where in situ observations with high temporal resolution and approaching global spatial scale are possible. Ionospheric measurements of magnetic fields with such spatio-temporal coverage have become available from the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE), combining data from the Iridium satellites. Motivated by the emergence of this dataset, we report here on the first results of assimilation of low-altitude ionospheric magnetic perturbations into the Lyon-Fedder-Mobarry (LFM) global magnetospheric model coupled with the Rice Convection Model (RCM). Our assimilation approach relies on the assumption of a quasi-steady, linear approximate relation between equatorial magnetospheric pressure and ionospheric field-aligned currents. This approximation is implemented numerically by perturbing the coupled LFM-RCM model and considering only large-scale modes from the Fourier decomposition of the ionospheric magnetic field and equatorial magnetospheric pressure. This methodology was validated by using model-based assimilation tests of the so-called ”fraternal-twins” type. In this approach, the LFM-RCM model with one set of parameters is used to generate synthetic observations, while a model version with a different parameters is used to assimilate the ionospheric observations and calculate the magnetospheric pressure corrections which are then applied to reproduce the synthetic observations. The model with assimilated synthetic data responded correctly by modifying ionospheric currents and magnetic perturbations in the expected way. We thus found the approach proposed herein
to be promising for future assimilation of real data.