A correction method for dynamic model calculations using observational data and its application in oceanography
- Autores: Belyaev K.1,2,3, Kuleshov A.4, Tuchkova N.2, Tanajura C.3
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Afiliações:
- Shirshov Institute of Oceanology
- Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
- Federal University of Bahia
- Federal Research Center Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Edição: Volume 8, Nº 4 (2016)
- Páginas: 391-400
- Seção: Article
- URL: https://journals.rcsi.science/2070-0482/article/view/200986
- DOI: https://doi.org/10.1134/S2070048216040049
- ID: 200986
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Resumo
A new data assimilation method for the correction of model calculations is developed and applied. The method is based on the least resistance principle and uses the theory of diffusion-type stochastic processes and stochastic differential equations. Application of the method requires solving a system of linear equations that is derived from this principle. The system can be considered as a generalization of the well-known Kalman scheme taking the model’s dynamics into account. The method is applied to the numerical experiments with the HYbrid Coordinate Ocean Model (HYCOM) and Archiving, Validating, and Interpolating Satellite Ocean (AVISO) data for the Atlantic. The skill of the method is assessed using the results of the experiments. The model’s output is compared with the twin experiments, namely, the model calculations without assimilation, which confirms the consistency and robustness of the proposed method.
Sobre autores
K. Belyaev
Shirshov Institute of Oceanology; Federal Research Center “Computer Science and Control” of Russian Academy of Sciences; Federal University of Bahia
Autor responsável pela correspondência
Email: kbel55@yahoo.com
Rússia, Moscow; Moscow; Salvador
A. Kuleshov
Federal Research Center Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
Email: kbel55@yahoo.com
Rússia, Moscow
N. Tuchkova
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: kbel55@yahoo.com
Rússia, Moscow
C. Tanajura
Federal University of Bahia
Email: kbel55@yahoo.com
Brasil, Salvador