Japan Geoscience Union Meeting 2019

Presentation information

[J] Poster

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

[P-EM16] Physics and Chemistry in the Atmosphere and Ionosphere

Thu. May 30, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yuichi Otsuka(Institute for Space-Earth Environmental Research, Nagoya University), Takuya Tsugawa(National Institute of Information and Communications Technology), Seiji Kawamura(National Institute of Information and Communications Technology)

[PEM16-P14] Analysis of parameters controlling the occurrence and growth of equatorial plasma bubbles using GAIA

*Hiroyuki Shinagawa1, Hidekatsu Jin1, Yasunobu Miyoshi2, Hitoshi Fujiwara3, Tatsuhiro Yokoyama4, Yuichi Otsuka5 (1.National Institute of Information and Communications Technology, 2.Department of Earth and Planetary Sciences, Faculty of Sciences, Kyushu University, 3.Faculty of Science and Technology, Seikei University, 4.Kyoto University, 5.Institute for Space-Earth Environmental Research, Nagoya University)

Keywords:Ionosphere, Atmosphere, Model, Plasma bubble, Linear growth rate, Parameter

In our previous studies, the linear growth rates of the Rayleigh-Taylor (R-T) instability in the ionosphere were obtained with a whole atmosphere-ionosphere coupled model GAIA, and the growth rates were compared with observations [Shinagawa et al., 2018]. We found that a high growth rate of R-T instability tends to correspond to the actual equatorial plasma bubble (EPB) occurrence. The result suggests that the occurrence and growth of EPB are controlled both by atmospheric waves propagating from the lower atmosphere and by geomagnetic activities. However, dependence of various parameters such as electric fields, electron and neutral densities, and neutral wind velocities on the EPB occurrence and growth has not been quantitatively understood. We will discuss how those parameters affect the linear growth rates of the R-T instability using GAIA simulation data, and report the importance of the parameters in controlling the EPB occurrence and growth.