Japan Geoscience Union Meeting 2016

Presentation information

International Session (Poster)

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

[P-EM04] Space Weather, Space Climate, and VarSITI

Sun. May 22, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Ryuho Kataoka(National Institute of Polar Research), Antti Pulkkinen(NASA GSFC), Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Yoshizumi Miyoshi(Institute for Space-Earth Environmental Research, Nagoya University), Toshifumi Shimizu(Institute of Space and Astronautical Science, JAXA), Ayumi Asai(Unit for Synergetic Studies of Space, Kyoto University), Hidekatsu Jin(National Institude of Information and Communications Technology), Tatsuhiko Sato(Japan Atomic Energy Agency), Kanya Kusano(Institute for Space-Earth Environmental Research, Nagoya University), Hiroko Miyahara(College of Art and Design, Musashino Art University), Kiminori Itoh(Graduate School of Engineering, Yokohama National University), Kazuo Shiokawa(Institute for Space-Earth Environmental Research, Nagoya University), Takuji Nakamura(National Institute of Polar Research), Shigeo Yoden(Division of Earth and Planetary Sciences, Graduate School of Science, Kyoto University), Kiyoshi Ichimoto(Kwasan and Hida Observatories, Kyoto University), Mamoru Ishii(National Institute of Information and Communications Technology)

5:15 PM - 6:30 PM

[PEM04-P16] Occurrence probability of plasma bubbles deduced from GAIA simulation data

*Hiroyuki Shinagawa1, Hidekatsu Jin1, Yasunobu Miyoshi2, Hitoshi Fujiwara3, Tatsuhiro Yokoyama1, Yuichi Otsuka4 (1.National Institute of Information and Communications Technology, 2.Kyushu University, 3.Seikei University, 4.Nagoya University)

Keywords:plasma bubble, GAIA, linear growth rate, Rayleigh-Taylor instability, ionospheric disturbance

In the forecast of ionospheric disturbances, it is important to predict mesoscale ionospheric phenomena such as plasma bubbles, sporadic E layers (Es), and Storm Enhanced Density (SED), which have significant influences on radio communication and broadcast systems as well as global positioning systems. Prediction of those phenomena requires real-time observation and a high-resolution numerical model of the ionosphere and atmosphere. We have been developing a whole atmosphere-ionosphere coupled model, GAIA (Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy), which self-consistently solves the entire region from the lower atmosphere to the ionosphere. Although present version of GAIA does not have enough spatial resolution to reproduce individual plasma bubbles, it is possible to deduce the occurrence probabilities by estimating the linear growth rate of the ionospheric Rayleigh-Taylor instability in the GAIA simulation data. We have performed a long-term simulation using GAIA covering a period from 1996 to the present. Using the database we calculated the linear growth rate, and compared the result with plasma bubble observations. We found that a period in which large linear growth rates appeared in the simulation data tends to correspond to a period of plasma bubbles occurrence, suggesting a possibility of prediction of plasma bubble occurrence using GAIA simulation.