*Masayuki Kano1, SHINICHI MIYAZAKI2, Yoichi Ishikawa3, Kosuke Ito4, Kazuro Hirahara2 (1.Earthquake Research Institute, The University of Tokyo, 2.Department of Geophysics, Graduate School of Science, Kyoto University, 3.Japan Agency for Marine-Earth Science and Technology, 4.Faculty of Science, University of the Ryukyus)
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
[M-GI28] [EE] Data assimilation: A fundamental approach in geosciences
Mon. May 22, 2017 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL7)
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.
*Takashi Setou1, Hiroshi Kuroda5, Daisuke Takahashi5, Tomonori Azumaya5, Takeshi Okunishi2, Daisuke Hasegawa2, Shigeho Kakehi2, Hitoshi Kaneko2, Yugo Shimizu1, Kiyotaka Hidaka1, Yutaka HIroe1, Keiichi Yamazaki1, Takahiko Kameda1, kazuhiro aoki1, Takeshi Taneda3, Kenji Morinaga4, Makoto Okazaki4, Masachika Masujima4, Atsushi Nishimoto1 (1.National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency, 2.Tohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, 3.Seikai National Fisheries Research Institute, Japan Fisheries Research and Education Agency, 4.National Research Institute of Far Seas Fisheries, Japan Fisheries Research and Education Agency, 5.Hokkaido National Fisheries Research Institute, Japan Fisheries Research and Education Agency)
*Yosuke Fujii1, Toshiyuki Ishibashi1, Tamaki Yasuda2, Yuhei Takaya1, Takeshi Iriguchi1, Nariaki Saito1, Yoshiaki Takeuchi1 (1.Meteorological Research Institute, Japan Meteorological Agency, 2.Japan Meteorological Agency)
*Shin'ya Nakano1 (1.The Institute of Statistical Mathematics)