Development of a high-resolution whole atmosphere-ionosphere model to reproduce ionospheric phenomena with spatial scale of several 100km
Project/Area Number |
24740336
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Space and upper atmospheric physics
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Research Institution | National Institute of Information and Communications Technology |
Principal Investigator |
Jin Hidekatsu 国立研究開発法人情報通信研究機構, 電磁波計測研究所宇宙環境インフォマティクス研究室, 主任研究員 (60466240)
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Project Period (FY) |
2012-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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Keywords | 超高層大気 / シミュレーション / 中層大気 / 電離圏 / 宇宙天気 / 計算科学 / 成層圏突然昇温 / 熱圏 / 大気結合 / データ同化 |
Outline of Final Research Achievements |
We have developed a whole atmosphere-ionosphere coupled model, GAIA. In this study, we improve the resolution and numerical treatment of the model in order to utilize it for numerical prediction of the upper atmosphere, especially improving the numerical scheme for the dynamics of and thermal diffusion of ionospheric plasma along geomagnetic field lines. We also carry out a long-term simulation of GAIA, and compare its output with observations and other model outputs. The improved model can reproduce finer ionospheric structures with spatial scale of several 100km, so it can be used for the analysis of such small scale ionospheric phenomena.
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Report
(5 results)
Research Products
(50 results)
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[Journal Article] Extreme ion heating in the dayside ionosphere in response to the arrival of a coronal mass ejection on 12 March 20122014
Author(s)
Fujiwara, H., Nozawa, S., Ogawa, Y., Kataoka, R., Miyoshi, Y., Jin, H., and Shina-gawa, H.
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Journal Title
Annales Geophysicae
Volume: 32
Issue: 7
Pages: 831-839
DOI
Related Report
Peer Reviewed
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