Optimal solution error quantification in variational data assimilation involving imperfect models-Reference-Cited by-同舟云学术

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Optimal solution error quantification in variational data assimilation involving imperfect models

Published:2016-07-04 Issue:3 Volume:83 Page:276-290
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int. J. Numer. Meth. Fluids

Author:

Shutyaev V.¹,Gejadze I.²,Vidard A.³,Le Dimet F.-X.³

Affiliation:

1. Institute of Numerical Mathematics, Russian Academy of Sciences; Moscow Institute for Physics and Technology; 119333 Gubkina 8 Moscow Russia

2. UMR G-EAU; IRSTEA-Montpellier; 361 Rue J.F. Breton, BP 5095 Montpellier 34196 France

3. Laboratoire Jean Kuntzmann; Université Grenoble Alpes; BP 51 Grenoble 38051 Cedex 9 France

Publisher

Wiley

Subject

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

Reference33 articles.

1. The role of the Hessian matrix in fitting models to measurements;Thacker;Journal of Geophysical Research,1989

2. On analysis error covariances in variational data assimilation;Gejadze;SIAM Journal of Scientific Computing,2008

3. Some basic formalism in numerical variational analysis;Sasaki;Monthly Weather Review,1970

4. Bayesian inverse problems for functions and applications to fluid mechanics;Cotter;Inverse Problems,2009

Cited by 3 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. Methods for Observation Data Assimilation in Problems of Physics of Atmosphere and Ocean;Izvestiya, Atmospheric and Oceanic Physics;2019-01

2. Model reduction and inverse problems and data assimilation with geophysical applications. A special issue in honor of I. Michael Navon's 75th birthday;International Journal for Numerical Methods in Fluids;2016-09-09

3. Optimal solution error quantification in variational data assimilation involving imperfect models;International Journal for Numerical Methods in Fluids;2016-07-04

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