Japan Geoscience Union Meeting 2018

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[EE] Oral

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

[M-GI22] Data assimilation: A fundamental approach in geosciences

Sun. May 20, 2018 10:45 AM - 12:15 PM 302 (3F International Conference Hall, Makuhari Messe)

convener:Shin'ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), SHINICHI MIYAZAKI(京都大学理学研究科, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Chairperson:Nakano Shin'ya

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.

11:55 AM - 12:10 PM

[MGI22-10] Using the Ensemble Forecast Sensitivity to Observations (EFSO) technique for an adaptive sampling problem in a global observing system

*Akira Yamazaki1, Takemasa Miyoshi2,1, Takeshi Enomoto3,1, Nobumasa Komori1, Jun Inoue4,1 (1.Application Laboratory, Japan Agency for Marine-Earth Science and Technology, 2.RIKEN Advanced Institute for Computational Science, 3.Disaster Prevention Research Institute, Kyoto University, 4.National Institute of Polar Research)

Discussion (12:10 PM - 12:15 PM)

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