JpGU-AGU Joint Meeting 2017

Session information

[EE] Oral

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 10:45 AM - 12:15 PM 301B (International Conference Hall 3F)

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 Advanced Institute for Computational Science), Chairperson: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.

11:00 AM - 11:15 AM

*Chia-Hung Chen1, Charles Lin1, Tomoko Matsuo2,3, Jann-Yenq Liu4,5 (1.Department of Earth Sciences, National Cheng Kung University, Taiwan, 2.Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA, 3.Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA, 4.Institute of Space Science, National Central University, Chung-Li, Taiwan, 5.Center for Space and Remote Sensing Research, National Central University, Chung-Li, Taiwan)

12:00 PM - 12:15 PM

Shin-ichi Ito1, *Hiromichi Nagao1,2, Akinori Yamanaka3, Yuhki Tsukada4, Toshiyuki Koyama4, Masayuki Kano1, Junya Inoue5 (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Information Science and Technology, The University of Tokyo, 3.Graduate School of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, 4.Graduate School of Engineering, Nagoya University, 5.Research Center for Advanced Science and Technology)



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