[E] Oral
M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations
convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN), SHINICHI MIYAZAKI(Graduate School of Science, Kyoto University)
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.
*Tomoko Matsuo1, Chih-Ting Hsu2 (1.University of Colorado Boulder, 2.National Center for Atmospheric Research)
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*Shunji Kotsuki1, Pensoneault Andrew3, Okazaki Atsushi4, Takemasa Miyoshi2 (1.Center for Environmental Remote Sensing, Chiba University, 2.RIKEN Center for Computational Science, 3.University of Iowa, 4.The Pennsylvania State University)
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*Takemasa Miyoshi1, Shunji Kotsuki1,2, Keiichi Kondo1,3, Roland Potthast4 (1.RIKEN, 2.Chiba University, 3.Meteorological Research Institute, 4.German Weather Service (DWD))
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*Futo Tomizawa1, Yohei Sawada1 (1.The University of Tokyo)
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*Yohei Sawada1, Risa Hanazaki1 (1.University of Tokyo)
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*CAO Jiangwei1, Naoki HIROSE2, Osamu ISOGUCHI3 (1.Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 2.Research Institute for Applied Mechanics, Kyushu University, 3.Remote Sensing Technology Center of Japan)
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