Application of the ensemble Kalman filter FEM for estimation of flow field in shallow water regions-Reference-Cited by-同舟云学术

Application of the ensemble Kalman filter FEM for estimation of flow field in shallow water regions

Published:2018 Issue:0 Volume:10 Page:5-8
ISSN:1883-0609
Container-title:JSIAM Letters
language:en
Short-container-title:JSIAM Letters

Author:

Kurahashi Takahiko¹,Saito Kiyora¹,Nogami Masato¹

Affiliation:

1. Department of Mechanical Engineering, Graduate School of Nagaoka University of Technology

Publisher

The Japan Society for Industrial and Applied Mathematics

Link

https://www.jstage.jst.go.jp/article/jsiaml/10/0/10_5/_pdf

Reference8 articles.

1. 1) T. E. Tezduyar, Stabilized finite element formulations for incompressible flow computations, Adv. Appl. Mech., 28 (1992), 1-44.

2. 2) R. E. Kalman, A new approach to linear filtering and prediction problems, Trans. ASME J. Basic Eng., 82 (1960), 35-45.

3. 3) T. Kurahashi, T. Yoshiara, Y. Kobayashi and N. Yamada, Flow field estimation analysis based on the Kalman filter FEM for selection of tidal stream power generator locations, J. Fluid Sci. Tech., 12 (2017), 1-10.

4. 4) G. L. Smith, S. F. Schmidt and L. A. McGee, Application of statistical filter theory to the optimal estimation of position and velocity on board a circumlunar vehicle, Ames Research Center Technical Report R-135, (1962), 1-27.

5. 5) G. Evensen, Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, J. Geophys. Research, 99 (1994), 10143-10162.

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