9:00 AM - 9:20 AM
*Serge Guillas1, Daniel Giles1, Matthew Graham1, Mose Giordano1, Tuomas Koskela1, Alexandros Beskos1 (1.University College London)
[E] Oral
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
Mon. May 22, 2023 9:00 AM - 10:30 AM 301B (International Conference Hall, Makuhari Messe)
convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN), Masayuki Kano(Graduate school of science, Tohoku University), Chairperson:Masayuki Kano(Graduate school of science, Tohoku University), Shin ya Nakano(The Institute of Statistical Mathematics)
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.
9:00 AM - 9:20 AM
*Serge Guillas1, Daniel Giles1, Matthew Graham1, Mose Giordano1, Tuomas Koskela1, Alexandros Beskos1 (1.University College London)
9:20 AM - 9:35 AM
*Yohei Sawada1 (1.University of Tokyo)
9:35 AM - 9:50 AM
*Shun Ohishi1, Yuki Kobayashi2, Takemasa Miyoshi1 (1.RIKEN Center for Computational Science, 2.Kyoto University)
9:50 AM - 10:10 AM
*Makiko Ohtani1, Nobuki Kame2, Masayuki Kano3 (1.Graduate School of Science, Kyoto Univ., 2.ERI, the Univ. of Tokyo, 3.Graduate School of Science, Tohoku Univ.)
10:10 AM - 10:30 AM
*Takuto Maeda1 (1.Graduate School of Science and Technology, Hirosaki University)
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