, Volume 52, Issue 5, pp 593–603 | Cite as

Comparison of methods for argo drifters data assimilation into a hydrodynamical model of the ocean

  • K. P. BelyaevEmail author
  • C. A. S. Tanajura
  • N. P. Tuchkova
Marine Physics


Different data assimilation methods such as an extended Kalman filter, the optimal interpolation method, and a method based on the Fokker-Planck equation applications are considered. Data from the ARGO drifters are assimilated into the HYCOM shallow water model (University of Miami, USA). Throughout the study, the schemes and methods of parallel computations with an MPI library are used. The results of the computations with assimilations are compared between themselves and with independent observations. The method based on the Fokker-Planck equation and the extended Kalman filter are preferable because they give better results than the optimal interpolation scheme. The various model characteristics of the ocean, such as the heat content fields and others, are analyzed after the data assimilation.


Assimilation Kalman Filter Data Assimilation Extend Kalman Filter Optimal Interpolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  • K. P. Belyaev
    • 1
    Email author
  • C. A. S. Tanajura
    • 2
  • N. P. Tuchkova
    • 3
  1. 1.Shirshov Institute of OceanologyRussian Academy of SciencesMoscowRussia
  2. 2.Universidade Federal da BahiaSalvadorBrasil
  3. 3.Dorodnicyn Computing CenterRussian Academy of SciencesMoscowRussia

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