Japan Geoscience Union Meeting 2015

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Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI37] Earth and planetary informatics with huge data management

Wed. May 27, 2015 3:15 PM - 4:00 PM 203 (2F)

Convener:*Eizi TOYODA(Numerical Prediction Division, Japan Meteorological Agency), Mayumi Wakabayashi(Kiso-Jiban Consultants Co.,Ltd), Susumu Nonogaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Eizi TOYODA(Numerical Prediction Division, Japan Meteorological Agency), Ken T. Murata(National Institute of Information and Communications Technology), Junya Terazono(The University of Aizu), Tomoaki Hori(Nagoya University Solar Terrestrial Environment Laboratory Geospace Research Center), Kazuo Ohtake(Japan Meteorological Agency), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Chair:Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Ken T. Murata(National Institute of Information and Communications Technology)

3:30 PM - 3:45 PM

[MGI37-02] Overview of ionospheric total electron content (TEC) derivation system using dense GNSS receiver networks

*Michi NISHIOKA1, Takuya TSUGAWA1, Kazunori YAMAMOTO1, Takashi MARUYAMA1, Mamoru ISHII1 (1.National Institute of Information and Communications Technology)

Keywords:GNSS observation, the ionosphere, prediction model, total electron content, realtime monitoring

We are developing a database of ionospheric total electron content (TEC) using dense GNSS receiver networks on the NICT Science Cloud system. We have automatically collected more than 7000 ground-based GNSS receivers' data in the world, and converted into two-dimensional TEC maps. High-resolution TEC maps are available in Japan, North America, and Europe, where GNSS receivers are densely deployed. These TEC maps and global TEC maps are available through the web site, http://seg-web.nict.go.jp/GPS/DRAWING-TEC. These high-resolution TEC maps make it possible to get a full view of 100-1000 kmscale ionospheric disturbances.
TEC maps over Japan are made using more than 1200 GNSS receivers' data. The database consists of two versions, that is, quasi real-time and final versions. The quasi real-time and final versions provide TEC maps with a time lag of less than four hours and four days, respectively. Now we are developing a real-time version, which can provide TEC data with a time lag of less than one minute. Moreover, we also develop TEC models to forecast TEC in Japan using Artificial Neural Network (ANN). The input parameters of ANN are proxies of the season, the solar activity, the solar wind activity, and the geomagnetic activity. For the learning process, we used absolute TEC data for about 20 years. Using the constructed ANN model, we achieved one-day TEC prediction over Japan.