[E] Poster
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
Wed. May 29, 2019 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)
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)
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.
*Toshiyuki Ishibashi1 (1.Meteorological Research Institute/Japan Meteorological Agency)
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*Toshiyuki Ishibashi1, Takeshi Iriguchi1, Yosuke Fujii1, Tamaki Yasuda1, Yuhei Takaya1, Naoki Saito1, Toshikazu Onogi1 (1.Meteorological Research Institute/Japan Meteorological Agency)
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*Yosuke Niwa1,2, Yosuke Fujii2,3 (1.National Institute for Environmental Studies, 2.Meteorological Research Institute, Japan Meteorological Agency, 3.The Institute of Statistical Mathematics)
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*Yutaka Arai1, Ryoichi Imasu1, Hiroaki Kondo2, Yosuke Niwa3 (1.Atmosphere and Ocean Research Institute, The University of Tokyo, 2.National Institute of Advanced Industrial Science and Technology, 3.National Institute for Environmental Studies, Independent Administrative Institutions)
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*Yosuke Horie1 (1.Nippon Koei Co., Ltd.)
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*Shin-ichi Ito1, Hiromichi Nagao1, Takashi Kurokawa1, Tadashi Kasuya1, Junya Inoue1 (1.The University of Tokyo)
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*Megumi Fujita1, Takuya NISHIMURA2, Kazuro Hirahara3, SHINICHI MIYAZAKI1 (1.Graduate School of Science , Kyoto University, 2.Disaster Prevention Research Institute, Kyoto University, 3.Institute of Education, Research and Regional Cooperation for crisis Management Shikoku, Kagawa University)
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*Shin ya Nakano1, Yuya Ariyoshi2, Tomoyuki Higuchi1 (1.The Institute of Statistical Mathematics, 2.Faculty of Engineering, Nippon Bunri University)
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