JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM17] [EE] Recent Advances in Ionosphere Observation and Modeling for Monitoring and Forecast

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:Lin Charles(Department of Earth Science, National Cheng Kung University)、Yang-Yi Sun(九州大学理学研究院 地球惑星科学部門)、陣 英克(情報通信研究機構)、Jaeheung PARK(Korea Astronomy and Space Science Institute)

[PEM17-P07] Development of regional ionospheric map and ionospheric prediction over Southeast Asia

*Kornyanat Hozumi1Noraset Wichaipanich2Takashi Maruyama1Takuya Tsugawa1Mamoru Ishii1 (1.National Institute of Information and Communications Technology、2.Faculty of Engineering, Rajamangala University of Technology Thanyaburi, No. 39, Moo 1, Rangsit-Nakhonnayok Road, Thanyaburi district,Pathum Thani 12110, Thailand)

キーワード:Ionospheric map, SEALION, Artificial neural network (ANN)

Dates back to 2003, National Institute of Information and Communications Technology (NICT) initiated the ionospheric observation network in Southeast Asia, a so-called Southeast Asia low-latitude ionospheric network (SEALION). Since then, ionospheric data has been collected and researched for a decade for research purpose. Nowadays, ionospheric data users increase. One of the reasons is that ionospheric data will become a must use dataset for air transportation business in the near future. Even though NICT has much data, the data itself is not friendly to non-scientist users. Moreover, there is no effective tool for ionospheric prediction in Southeast Asia yet. Recently we have developed a regional ionospheric map, and a regional ionospheric prediction based on artificial neural network (ANN). This paper introduces progress, success, and problem in the development.