JpGU-AGU Joint Meeting 2020

Session information

[E] Oral

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

[M-GI33] Data assimilation: A fundamental approach in geosciences

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.

Megumi Fujita1, Takuya NISHIMURA2, *Kazuro Hirahara3,4, Mamoru Hyodo5, SHINICHI MIYAZAKI1 (1.Graduate School of Science, Kyoto University , 2.Disaster Prevention Research Institute, Kyoto University , 3.Institute of Education, Research and Regional Cooperation for crisis Management Shikoku, Kagawa University , 4.Riken AIP center, 5.JAMSTEC)

*Shin ya Nakano1, Takuto Minami2, Futoshi Takahashi3, Masaki Matsushima4, Hisayoshi Shimizu5, Hiroaki TOH6 (1.The Institute of Statistical Mathematics, 2.Graduate School of Science, Kobe University, 3.Faculty of Science, Kyushu University, 4.Department of Earth and Planetary Sciences, School of Science, Tokyo Institute of Technology, 5.Earthquake Research Institute, the University of Tokyo, 6.Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University)