Investigation of the numerical accuracy of shallow water flow estimation based on the ensemble Kalman filter using the SUPG FEM-Reference-Cited by-同舟云学术

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Investigation of the numerical accuracy of shallow water flow estimation based on the ensemble Kalman filter using the SUPG FEM

Published:2018-03-16 Issue:2-3 Volume:32 Page:146-157
ISSN:1061-8562
Container-title:International Journal of Computational Fluid Dynamics
language:en
Short-container-title:International Journal of Computational Fluid Dynamics

Author:

Kurahashi T.¹,Saito K.¹

Affiliation:

1. Department of Mechanical Engineering, Nagaoka University of Technology, Niigata, Japan

Funder

Grant-in-Aid for Scientific Research

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Energy Engineering and Power Technology,Condensed Matter Physics,Aerospace Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618562.2018.1511048

Reference20 articles.

1. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics

2. The Ensemble Kalman Filter: theoretical formulation and practical implementation

3. A New Approach to Linear Filtering and Prediction Problems

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