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KIAM Preprint № 133, Moscow, 2018
Authors: Belyaev K.P., Kuleshov A. A., Tuchkova N.P.
Modeling of ocean dynamics in conjunction with data assimilation
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
Publication language: russian,  pages: 13
Research direction:
Mathematical modelling in actual problems of science and technics
Russian source text:
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About authors:
  • Belyaev Konstantin Pavlovich,  kosbel55@gmail.com,  Институт океанологии им. П.П. Ширшова РАН
  • Kuleshov Andrey Aleksandrovich,  andrew_kuleshov@mail.ruorcid.org/0000-0002-4203-9953KIAM RAS
  • Tuchkova Natalia Pavlovna,  natalia_tuchkova@mail.ru,  Федеральный исследовательский центр «Информатика и управление» Российской академии наук