JpGU-AGU Joint Meeting 2017

Session information

[EJ] Poster

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

[M-GI29] [EJ] Data-driven analysis, modeling and prediction in geosciences

Sat. May 20, 2017 1:45 PM - 3:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Dmitri Kondrashov(University of California, Los Angeles), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Sergey Kravtsov(University of Wisconsin Milwaukee)

It is important to extract essential processes and structures from observed datasets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, powerful data-driven methodologies have been proposed to extract, model and predict useful information contained in high-dimensional datasets that are ubiquitous in earth and space. This session aims to provide an opportunity to highlight recent advances in such data-driven techniques across disciplines and to have a productive discussion for interdisciplinary collaborations.

*Masayuki Kano1, Hiromichi Nagao1,2, Kenji Nagata3,4, Shin-ichi Ito1, Shin'ichi Sakai1, Shigeki Nakagawa1, Muneo Hori1, Naoshi Hirata1 (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Information Science and Technology, The University of Tokyo, 3.National Institute of Advanced Industrial Science and Technology, 4.Presto, Japan Science and Technology Agency)

*Tarkeshwar Singh1, Sourabh Kumar2, Rashmi Mittal3, H. C. Upadhyaya4 (1.Centre for atmospheric Sciences, Indian Institute of technology Delhi, New Delhi, India, 2.Department of Mechanical Engineering, Indian Institute of technology Delhi, New Delhi, India, 3.IBM Research, New Delhi, India, 4.Centre for atmospheric Sciences, Indian Institute of technology Delhi, New Delhi, India)



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