Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter-Reference-Cited by-同舟云学术

Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter

Published:2022-12 Issue: Volume:471 Page:111621
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Moldovan G.,Lehnasch G.^ORCID,Cordier L.^ORCID,Meldi M.^ORCID

Funder

Agence Nationale de la Recherche

Direction Générale de l’Armement

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference45 articles.

1. Atmospheric Data Analysis;Daley,1991

2. Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches;Simon,2006

3. A new approach to linear filtering and prediction problems;Kalman;J. Basic Eng.,1960

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

5. Data Assimilation: Methods, Algorithms, and Applications;Asch,2016

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation;Flow, Turbulence and Combustion;2024-08-10

2. Multigrid sequential data assimilation for the Large Eddy Simulation of a massively separated bluff-body flow;Computers & Fluids;2024-08

3. Parallel ensemble Kalman method with total variation regularization for large-scale field inversion;Journal of Computational Physics;2024-07

4. 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