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A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models

  • Published:2022-08 Issue: Volume:398 Page:115282
  • ISSN:0045-7825
  • Container-title:Computer Methods in Applied Mechanics and Engineering
  • language:en
  • Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Donoghue GeoffORCID,Yano Masayuki

Funder

University of Toronto

Government of Ontario

Connaught Fund

Natural Sciences and Engineering Research Council of Canada

Ontario Research Foundation

Canada Foundation for Innovation

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference47 articles.

1. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics;Evensen;J. Geophys. Res. Oceans,1994

2. Data Assimilation: The Ensemble Kalman Filter;Evensen,2009

3. Data Assimilation;Law,2015

4. Review of the ensemble Kalman filter for atmospheric data assimilation;Houtekamer;Mon. Weather Rev.,2016

5. An ensemble adjustment Kalman filter for data assimilation;Anderson;Mon. Weather Rev.,2001

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1. Operator inference driven data assimilation for high fidelity neutron transport;Computer Methods in Applied Mechanics and Engineering;2024-10

2. A novel estimation method for microstructural evolution based on data assimilation and phase field crystal model;Communications in Nonlinear Science and Numerical Simulation;2023-12

3. A reduced basis ensemble Kalman method;GEM - International Journal on Geomathematics;2023-09-01
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