Session Details

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

Sat. May 20, 2017 3:30 PM - 5:00 PM JST
Sat. May 20, 2017 6:30 AM - 8:00 AM UTC
102 International Conference Hall 1F
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), Chairperson:Kenta Yoshida(Japan Agency for Marine-earth Science and Technology), Chairperson:Dmitri Kondrashov(University of California, Los Angeles,)
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.

[MGI29-13]Data-driven Nonlinear Dynamical Models for Forecast of Climate Variability

*Alexander M Feigin1, Dmitry N Mukhin1, Andrey S Gavrilov1, Aleksey F Selesnev1, Evgeny M Loskutov1 (1.Institute of Applied Physics RAS)

[MGI29-14]Data-driven model for investigation of the mid-Pleistocene transition

*Evgeny M Loskutov1, Dmitry N Mukhin1, Andrey S Gavrilov1, Alexander M Feigin1 (1.Institute of Applied Physics RAS)

[MGI29-15]Analysis of zonal structure of phenocryst minerals considering element diffusion: Approach based on Bayesian statistics

*Fumitoshi Morisato1, Kazuhito Ozawa1 (1.Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo)

[MGI29-16]Managing soil organic carbon sequestration in China’s croplands

*Guocheng Wang1 (1.Institute of Atmospheric Physics, Chinese Academy of Sciences)

[MGI29-17]Spatial modeling by joint use of physical law and geostatistics for grade analysis in geofluid-caused ore deposit

*LEI LU1, Katsuaki KOIKE1, Koki KASHIWAYA1, Mohamad N. HERIAWAN2, Ryoichi YAMADA3 (1.Department of Urban Management, Graduate School of Engineering, Kyoto University, Japan, 2.Faculty of Mining and Petroleum Engineering, Bandung Institute of Technology, Indonesia., 3.Graduate School of Science, Tohoku University, Japan)

[MGI29-18]Solar terrestrial modelling: Application of systems methodologies

*Simon N Walker1, Michael Balikhin1, Richard Boynton1 (1.ACSE, University of Sheffield, Sheffield, UK)