Data assimilation for magnetohydrodynamics systems-Reference-Cited by-同舟云学术

Data assimilation for magnetohydrodynamics systems

Published:2006-05 Issue:1-2 Volume:189 Page:242-259
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Mendoza O. Barrero,De Moor B.,Bernstein D.S.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference11 articles.

1. Optimal Filtering;Anderson,1979

2. O. Barrero, D.S. Bernstein, B.L.R. De Moor, Spatially Localized Kalman filtering for data assimilation, Internal Report TR-04-156, Katholieke Universiteit Leuven, ESAT/SCD-SISTA, September 2004.

3. Analysis scheme in the ensemble Kalman filter;Burgers;Monthly Weather Rev.,1998

4. Plasma Physics;Dendy,1996

5. Sequential data assimilaion with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics;Evensen;Geophys. Res.,1994

Cited by 9 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. Quantitative comparison of variational and sequential data assimilation techniques for one-dimensional initial-value problems of ideal MHD;Computers & Fluids;2024-09

2. Domain of Influence Analysis: Implications for Data Assimilation in Space Weather Forecasting;Frontiers in Astronomy and Space Sciences;2020-10-08

3. Continuous data assimilation for the 2D magnetohydrodynamic equations using one component of the velocity and magnetic fields;ASYMPTOTIC ANAL;2018

4. FLIP-MHD-based model sensitivity analysis;Nonlinear Processes in Geophysics;2014-04-24

5. A partially linearized sigma point filter for latent state estimation in nonlinear time series models;Journal of Computational and Applied Mathematics;2010-03