Japan Geoscience Union Meeting 2018

Presentation information

[JJ] Oral

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

[M-GI27] Data-driven geosciences

Tue. May 22, 2018 3:30 PM - 5:00 PM 301A (3F International Conference Hall, Makuhari Messe)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Takane Hori(独立行政法人海洋研究開発機構・地震津波海域観測研究開発センター), Chairperson:Hori Takane, Ito Shin-ichi(東京大学地震研究所)

4:45 PM - 5:00 PM

[MGI27-12] Data-driven approach in geosciences

★Invited Papers

*Masato Okada1, Igarashi Yasuhiko1,2 (1.Graduate School of Frontier Sciences, The University of Tokyo, 2.Japan Science and Technology Agency PRESTO)

We introduce a project, called “the Initiative for High-dimensional Data-Driven Science through Deepening of Sparse Modeling ”. The aims of this project are to establish a methodology for systematically extracting hypothesis or model from huge amount of high-dimensional data, and to build a core of research system to practice high-dimensional data-driven science in Japan.

Based on sparse modeling (SpM) and Bayesian inference, which are key technologies of the data-driven science, we introduce two examples of data-driven approach in geoscience. The first example is an application of SpM to geochemical discrimination of 2011 Tohoku tsunami deposits. The second one is an application of the Bayesian inference to maximum tsunami height prediction, by directly using the correlation between ocean-floor pressure gauges and coastal tsunami heights.