Model reduction and inverse problems and data assimilation with geophysical applications. A special issue in honor of I. Michael Navon's 75th birthday-Reference-Cited by-同舟云学术

Model reduction and inverse problems and data assimilation with geophysical applications. A special issue in honor of I. Michael Navon's 75th birthday

Published:2016-09-09 Issue:10 Volume:82 Page:625-630
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int. J. Numer. Meth. Fluids

Author:

Ştefănescu Răzvan¹,Noack Bernd R.²,Sandu Adrian³

Affiliation:

1. Department of Mathematics; North Carolina State University; NC 27695 Raleigh USA

2. LIMSI-CNRS, Orsay, France and Institut für Strömungsmechanik; Technische Universität Braunschweig; Germany

3. Computational Science Laboratory; Department of Computer Science, Virginia Tech; VA 24060 Blacksburg USA

Publisher

Wiley

Subject

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

Reference75 articles.

1. The maximum likelihood ensemble filter as a non-differentiable minimization algorithm;Zupanski;Quarterly Journal of the Royal Meteorological Society,2008

2. Impact of non-smooth observation operators on variational and sequential data assimilation for a limited-area shallow-water equation model;Steward;Quarterly Journal of the Royal Meteorological Society,2012

3. A note on the particle filter with posterior Gaussian resampling;Xiong;Tellus A,2006

4. Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter;Elsheikh;Stochastic Environmental Research and Risk Assessment,2013

5. Numerical comparison of iterative ensemble Kalman filters for unsaturated flow inverse modeling;Song;Vadose Zone Journal,2014

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