A variational ensemble Kalman filtering method for data assimilation using 2D and 3D version of COHERENS model-Reference-Cited by-同舟云学术

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A variational ensemble Kalman filtering method for data assimilation using 2D and 3D version of COHERENS model

Published:2016-08-04 Issue:6 Volume:83 Page:544-558
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int. J. Numer. Meth. Fluids

Author:

Amour Idrissa¹,Kauranne Tuomo¹

Affiliation:

1. Lappeenranta University of Technology; P.O. Box 21 53851 Lappeenranta Finland

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/fld.4276/fullpdf

Reference32 articles.

1. Adaptive state updating in real-time river flow forecasting - acombined filtering and error forecasting procedure;Madsen;Journal of Hydrology,2005

2. An adaptive ensemble Kalman filter for soil moisture data assimilation;Reichle;Water Resources Research,2008

3. Dual state-parameter estimation of hydrological models using ensemble Kalman filter;Moradkhani;Advances in Water Resources,2005

4. Using ensemble data assimilation to forecast hydrological flumes;Amour;Nonlinear Processes in Geophysics,2013

5. Data assimilation into a numerical shallow water flow model: a stochastic optimal control approach;Heemink;Journal of Marine Systems,1995

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