日本地球惑星科学連合2019年大会

講演情報

[J] ポスター発表

セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI37] 情報地球惑星科学と大量データ処理

2019年5月26日(日) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:村田 健史(情報通信研究機構)、本田 理恵(高知大学自然科学系理工学部門)、野々垣 進(国立研究開発法人 産業技術総合研究所 地質情報研究部門 情報地質研究グループ)、堀之内 武(北海道大学地球環境科学研究院)

[MGI37-P04] 北極海のみらい観測航海MR18-05における予報・観測データの配信と可視化サービス

*照井 健志1杉村 剛1Liyanarachchi Waruna Arampath De Silva2末吉 惣一郎3猪上 淳1 (1.国立極地研究所、2.東京大学、3.日本海洋事業株式会社)

キーワード:北極海、船舶観測、IoT、予報データ、可視化、衛星通信

Understanding of the weather situation is the most important issue for observation cruse in the sea ice area. In particular, overviewed information of 1000 km scale is a good indication to determine a safe route and plan, and the weather forecast and observation data is required. However, limited satellite telecommunication line on the ship makes on-demand data delivery difficult. And more, if the compressed data would be sent via this line, a professional staff for decoding and visualizing the data must always be needed on the ship. In order to reduce these anxiety and burden, automatically system integrating these processes (delivery, decoding, and visualizing data) is needed. ADS (Arctic Data archive System) has been developed the new integrated system for the ship to delivery and visualize data, which is called VENUS (VEssele Navigator by Unitized Systems). This system has been implemented to R/V Mirai cruise in the Arctic Ocean since MR16-06. MR18-05 cruse was a winter observation in the Arctic Ocean, and we delivered 10 days weather forecast data produced byECMWF, and high resolution sea ice forecast model output from IcePOM developed in the University of Tokyo. Total size of delivered data via e-mail was reached to about 100 MB/day, and more than 100 e-mails were delivered to Mirai every day. Our system was always in a high load condition due to visualization processing. We need to In this research, we want to introduce technical performances and advantages of this system. For safe cruse, we must complete the transmission and visualization of such massive data by the scheduled time. Therefore, we devised a lot of solutions to solve the technical difficulties. In this research, we introduce what we did to solve these problems and discuss various issues of data distribution and processing in ship.