Skip to Main content Skip to Navigation
Journal articles

Enhanced ensemble-based 4DVar scheme for data assimilation

yin yang 1 Cordelia Robinson 1 Dominique Heitz 1 Etienne Mémin 1 
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture, Inria Rennes – Bretagne Atlantique
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.
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download
Contributor : Etienne Memin Connect in order to contact the contributor
Submitted on : Thursday, April 23, 2015 - 10:38:49 AM
Last modification on : Saturday, June 25, 2022 - 7:47:09 PM
Long-term archiving on: : Wednesday, April 19, 2017 - 3:31:04 AM


Files produced by the author(s)




yin yang, Cordelia Robinson, Dominique Heitz, Etienne Mémin. Enhanced ensemble-based 4DVar scheme for data assimilation. Computers and Fluids, Elsevier, 2015, 115, 15 p. ⟨10.1016/j.compfluid.2015.03.025⟩. ⟨hal-01144923⟩



Record views


Files downloads