Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7156980 | Computers & Fluids | 2015 | 10 Pages |
Abstract
Ensemble based optimal control schemes combine the components of ensemble Kalman filters and variational data assimilation (4DVar). They are trendy because they are easier to implement than 4DVar. In this paper, we evaluate a modified version of an ensemble based optimal control strategy for image data assimilation. This modified method is assessed with a shallow water model combined with synthetic data and original incomplete experimental depth sensor observations. This paper shows that the modified ensemble technique is better in quality and can reduce the computational cost.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Yin Yang, Cordelia Robinson, Dominique Heitz, Etienne Mémin,