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Preprints of the Keldysh Institute of Applied Mathematics, 2018, 133, 13 pp.
DOI: https://doi.org/10.20948/prepr-2018-133
(Mi ipmp2492)
 

Modeling of ocean dynamics in conjunction with data assimilation

K. P. Belyaev, A. A. Kuleshov, N. P. Tuchkova
References:
Abstract: The paper presents the results of the modeling of meridional heat and mass transfer in the ocean, computed by the coupled ocean-atmosphere numerical model developed in Max Planck Institute for Meteorology and with the application of the original data assimilation technique. The data on temperature and salinity of the ocean, obtained during the WOCE (The World Ocean Circulation Experiment) in 1991–1995, were used. The paper shows how the data assimilation changes the model characteristics: the ocean current velocities and temperature fields. As the data assimilation method the Generalized Kalman filter (GKF) has been applied.
Keywords: ocean dynamics, model MPI-ESM, data assimilation method GKF.
Funding agency Grant number
Russian Science Foundation 14-11-00434
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: K. P. Belyaev, A. A. Kuleshov, N. P. Tuchkova, “Modeling of ocean dynamics in conjunction with data assimilation”, Keldysh Institute preprints, 2018, 133, 13 pp.
Citation in format AMSBIB
\Bibitem{BelKulTuc18}
\by K.~P.~Belyaev, A.~A.~Kuleshov, N.~P.~Tuchkova
\paper Modeling of ocean dynamics in conjunction with data assimilation
\jour Keldysh Institute preprints
\yr 2018
\papernumber 133
\totalpages 13
\mathnet{http://mi.mathnet.ru/ipmp2492}
\crossref{https://doi.org/10.20948/prepr-2018-133}
\elib{https://elibrary.ru/item.asp?id=35198968}
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    Препринты Института прикладной математики им. М. В. Келдыша РАН
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