Japan Geoscience Union Meeting 2019

Session information

[E] Oral

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

[M-GI30] Data assimilation: A fundamental approach in geosciences

Wed. May 29, 2019 3:30 PM - 5:00 PM 104 (1F)

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), SHINICHI MIYAZAKI(Graduate School of Science, Kyoto University), Takemasa Miyoshi(RIKEN), Chairperson:Shinichi Miyazaki(Kyoto University), Yosuke Fujii

Data assimilation is an inversion approach to estimate the evolution of a system by utilizing a constraint given by a dynamical simulation model. Data assimilation is now widely used not only in meteorology and oceanography but also other fields of geosciences such as hydrology, solid earth science, and space science. This session aims at providing an opportunity for discussion on data assimilation studies among researchers of various field of geosciences. We encourage contributions addressing novel methods and theoretical developments of data assimilation. Contributions dealing with useful applications of data assimilation are also welcome.

4:15 PM - 4:30 PM

*Takuto Minami1, Shin ya Nakano2, Futoshi Takahashi3, Masaki Matsushima4, Hisayoshi Shimizu1, Hiroaki TOH5 (1.Ocean Hemisphere Research Institute, Earthquake Research Institute,The University of Tokyo, 2.The Institute of Statistical Mathematics, 3.Faculty of Science, Kyushu University, 4.School of Science, Tokyo Institute of Technology, 5.Graduate School of Science, Kyoto University)

4:30 PM - 4:45 PM

*Shin ya Nakano1, Takuto Minami2, Futoshi Takahashi3, Masaki Matsushima4, Hiroaki TOH5, Hisayoshi Shimizu2 (1.The Institute of Statistical Mathematics, 2.Earthquake Research Institute, the University of Tokyo, 3.Faculty of Science, Kyushu University, 4.School of Science, Tokyo Institute of Technology, 5.Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University)




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