An optimal data assimilation method and its application to the numerical simulation of the ocean dynamics-Reference-Cited by-同舟云学术

An optimal data assimilation method and its application to the numerical simulation of the ocean dynamics

Published:2017-06-07 Issue:1 Volume:24 Page:12-25
ISSN:1387-3954
Container-title:Mathematical and Computer Modelling of Dynamical Systems
language:en
Short-container-title:Mathematical and Computer Modelling of Dynamical Systems

Author:

Belyaev Konstantin¹²,Kuleshov Andrey³,Tuchkova Natalia⁴,Tanajura Clemente A.S.²

Affiliation:

1. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia

2. Oceanographic Modeling and Observation Network (REMO), Center for Research in Geophysics and Geology, Federal University of Bahia, Salvador, BA, Brazil

3. Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, Russia

4. Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia

Funder

Russian Science Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13873954.2017.1338300

Reference25 articles.

1. Data Assimilation in Meteorology and Oceanography

2. An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

3. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. I: Theory

4. A numerical technique for geophysical data assimilation problems using Pontryagin’s principle and splitting-up method

5. Modeling of the World Ocean circulation with the four-dimensional assimilation of temperature and salinity fields

Cited by 31 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. Reconstructing Unknown Coefficients of Stochastic Differential Equations and Intelligently Predicting Random Processes with Directed Learning;Moscow University Computational Mathematics and Cybernetics;2024-06

2. Statistical Distribution of Characteristics of the Model Solution after Data Assimilation;Lobachevskii Journal of Mathematics;2024-05

3. Comparison of Statistical Approaches for Reconstructing Random Coefficients in the Problem of Stochastic Modeling of Air–Sea Heat Flux Increments;Mathematics;2024-01-16

4. Continuous data assimilation and feedback control of fractional reaction-diffusion equations;Evolution Equations and Control Theory;2024

5. Numerical Experiments with the Nemo Ocean Circulation Model and the Assimilation of Observational Data from Argo Drifters;Mathematical Models and Computer Simulations;2023-09-03