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-EM07] Space Weather, Space Climate, and VarSITI

Sun. May 24, 2015 4:15 PM - 6:00 PM 302 (3F)

Convener:*Ryuho Kataoka(National Institute of Polar Research), Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University), Yoshizumi Miyoshi(Solar-Terrestrial Environement Laboratory, 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(Solar-Terrestrial Environment Laboratory, Nagoya University), Hiroko Miyahara(College of Art and Design, Musashino Art University), Takuji Nakamura(National Institute of Polar Research), Kazuo Shiokawa(Solar-Terrestrial Environment Laboratory, Nagoya University), Kiminori Itoh(Graduate School of Engineering, Yokohama National University), Chair:Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University)

5:15 PM - 5:30 PM

[PEM07-04] Introduction of long-term whole atmosphere-ionosphere simulation database and future update

*Hidekatsu JIN1, Yasunobu MIYOSHI2, Hitoshi FUJIWARA3, Hiroyuki SHINAGAWA1, Tomoko Matsuo4 (1.National Institute of Information and Communications Technology, 2.Kyushu University, 3.Seikei University, 4.National Oceanic and Atmospheric Administration)

Keywords:space weather, ionosphere, data assimilation, database, thermosphere, simulation

The origins of upper atmospheric variations do not only come from the solar activities and rotation, but also from the Earth's lower atmosphere. In order to now-cast and forecast the upper atmospheric disturbances and variations, we have developed a whole atmosphere-ionosphere coupled model called GAIA. The model incorporates the Japanese meteorological reanalysis (JRA) into its lower atmospheric part as well as the daily F10.7 index, in order to reproduce the effects of realistic forcing both from the lower atmosphere and solar irradiance. We have carried out such simulation for the period from 1996 to 2014. The result shows that the model can reproduce major features of the observed ionosphere and thermosphere, including solar activity and rotation dependences, seasonal variations, shorter periodic variations, and effects of lower atmospheric disturbances such as stratospheric sudden warming [Jin et al., 2012; Liu et al., 2013, 2014]. We will show the comparison of the database and observations. We also introduce future update of the model, especially improvement of model accuracy using data assimilation technique.