Smart weather forecasting by computing network comprising the Earth Simulator and edge servers

Ryo ONISHI; Koya Mori; Fumiaki Araki; Ken'ichi Itakura; Shintaro Kawahara; Ryota Nakada; Noriyuki Takahashi; Keiko Takahashi

Presentation information

[EJ] Oral

M (Multidisciplinary and Interdisciplinary) » M-AG Applied Geosciences

[M-AG35] [EJ] Marine Earth Informatics

Sat. May 20, 2017 1:45 PM - 3:15 PM A01 (Tokyo Bay Makuhari Hall)

convener:Seiji Tsuboi(JAMSTEC, Center for Earth Information Science and Technology), Keiko Takahashi(Japan Agency for Marine and Earth Science and Technology), Masaki Kanao(National Institute of Polar Research), Timothy Keith Ahern(Incorporated Research Institutions for Seismology), Chairperson:Seiji Tsuboi(JAMSTEC, Center for Earth Information Science and Technology), Chairperson:Daisuke Matsuoka(Center for Earth Information Science and Technology, Japan Agency for Marine-Earth Science and Technology)

2:30 PM - 2:45 PM

[MAG35-04] Smart weather forecasting by computing network comprising the Earth Simulator and edge servers

*Ryo ONISHI¹, Koya Mori², Fumiaki Araki¹, Ken'ichi Itakura¹, Shintaro Kawahara¹, Ryota Nakada², Noriyuki Takahashi², Keiko Takahashi¹ (1.Japan Agency for Marine-Earth Science and Technology, 2.NTT Network Innovation Laboratories)

Keywords:weather forecasting simulation, Earth Simulator , Edge Computing

Japan Agency for Marine-Earth Science and Technology (JAMSTEC) and NTT Network Innovation Laboratories (NTT) have started a new collaborative research on the development of smart weather forecasting system that can bring new information infrastructure for future smart society. As illustrated in Fig.1, the system relies on a computing network, including the Earth Simulator at JAMSTEC and edge servers consisting the edge computing platform lead by NTT. The big data obtained from huge number of various IoT sensors are utilized to improve the forecasting in an efficient way in terms of both computation and network communication. The edge servers, in the vicinity of the users and devices, can provide detailed local weather information that can be of use for many local services. We will present the possible social applications as well as the new system itself.