[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 9:00 AM - 10:30 AM 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:Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency)

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.

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9:00 AM - 9:15 AM

[MGI28-01] Analyzing the ocean with the latest ECCO Ocean State Estimate

★Invited papers

*Ichiro Fukumori¹, Ou Wang¹, Ian Fenty¹, Gael Forget², Patrick Heimbach³, Rui M. Ponte⁴ (1.Jet Propulsion Laboratory, California Institute of Technology, 2.Massachusetts Institute of Technology, 3.University of Texas at Austin, 4.Atmospheric and Environmental Research, Inc.)

9:15 AM - 9:30 AM

[MGI28-02] On the discretization of the Onsager-Machlup functional

★Invited papers

*Nozomi Sugiura¹ (1.Japan Agency for Marine-Earth Science and Technology)

9:30 AM - 9:45 AM

[MGI28-03] Reconditioning the observation error covariance matrix in the local ensemble transform Kalman filter: experiments with the Lorenz-96 model

★Invited papers

*Koji Terasaki¹, Takemasa Miyoshi¹ (1.RIKEN Advanced Institute for Computational Science)

9:45 AM - 10:00 AM

[MGI28-04] Toward real forecast of aurora electrojet index using the data assimilation

*Yoshizumi Miyoshi¹, Ryota Yamamoto¹, Daikou Shiota¹, Genta Ueno², Masahito Nose³, Shinobu Machida¹, Yukinaga Miyashita⁴ (1.Institute for Space-Earth Environmental Research, Nagoya University, 2.The institute of statistical mathematics, 3.World Data Center for Geomagnetism, Kyoto, 4.KASI)

10:00 AM - 10:15 AM

[MGI28-05] Utilization of fisherman-logging data for enhancement of the coastal ocean monitoring network in Japan

*Yasumasa Miyazawa¹, Tsutomu Tokeshi², Sergey Varlamov¹, Toru Miyama¹, Tsutomu Hihara¹, Xinyu Guo³, Yushi Morioka¹ (1.Japan Agency for Marine-Earth Science and Technology, 2.Miyazaki Prefectural Fisheries Research Institute, 3.Ehime University)

10:15 AM - 10:30 AM

[MGI28-06] 4DVAR with ensemble background error covariance estimation in a coastal ocean model

*Ivo Pasmans¹, Alexander Kurapov¹ (1.Oregon State University)

Session information

[M-GI28] [EE] Data assimilation: A fundamental approach in geosciences

[MGI28-01] Analyzing the ocean with the latest ECCO Ocean State Estimate

★Invited papers

[MGI28-02] On the discretization of the Onsager-Machlup functional

★Invited papers

[MGI28-03] Reconditioning the observation error covariance matrix in the local ensemble transform Kalman filter: experiments with the Lorenz-96 model

★Invited papers

[MGI28-04] Toward real forecast of aurora electrojet index using the data assimilation

[MGI28-05] Utilization of fisherman-logging data for enhancement of the coastal ocean monitoring network in Japan

[MGI28-06] 4DVAR with ensemble background error covariance estimation in a coastal ocean model

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