Skip to main content
Log in

Assimilation of altimetry data in the numerical model of the circulation in the Black Sea: The model numerical experiments

  • Analysis of Observations and Methods of Calculating Oceanic Hydrophysical Fields
  • Published:
Physical Oceanography

Abstract

The numerical algorithm of the Kalman optimum filtration generalized for the case of three-dimensional fields and a multicomponent vector of the ocean state, with level measurements discrete over space and time being available, is given. The results of model numerical experiments on the assimilation of data on the Black Sea level are given. An attempt to estimate the effect of the time interval of data input on the results of field reconstruction was made.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Arnault, S., Menard, Y. and Merle, J. Observing the tropical Atlantic Ocean in 1986–1987 from altimetry.J. Geophys. Res. (1990)95, 17.865–18.355.

    Google Scholar 

  2. Timchenko, I.E.Dynamico-Stochastic Models of the Ocean State. Kiev: Naukova Dumka (1981).

    Google Scholar 

  3. Berry, P. and Marshall, J. Ocean modelling studies in support of altimetry. Data assimilation.Dynamics Atmos. Oceans (1989)13 (Special Issue), 269–300.

    Google Scholar 

  4. Miller, R. N. Direct assimilation of altimetric differences using the Kalman filter. Data assimilation.Dynamics Atmos. Oceans (1989)13 (Special Issue), 317–333.

    Google Scholar 

  5. Malanotte-Rizzoli, Young, E. and Haidvogel, D. B. Initialization and data assimilation experiments with a primitive equation model. Data assimilation.Dynamics Atmos. Oceans (1989)13 (Special Issue), 349–378.

    Google Scholar 

  6. Holland, W. R. and Malanotte-Rizzoli, Assimilation of altimeter data into an ocean circulation model. Space versus time resolution studies.J. Phys. Oceanogr. (1989)19, 1507–1534.

    Google Scholar 

  7. Sarkisyan, A. S., Knysh, V. V. and Demyshev, S. G. Multivariate four-dimensional analysis of hydrophysical field based on the dynamico-stochastic models.Itogi Nauki Tekh. Atmos., Okean, Kosmos —Programma RAZREZY (1987)9, 5–64.

    Google Scholar 

  8. Knysh, V. V., Moiseenko, V. A. and Timchenko, I. E. Assimilation of hydrography data in the numerical model of the density and current fields.Mar. Hydrophys. Res. (1978)4, 65–77.

    Google Scholar 

  9. Mashkovich, S. A. Multivariate three-dimensional objective analysis of meteorological values.Meteorol. Gidrol. (1988)12, 14–24.

    Google Scholar 

  10. Moiseenko, V. A. and Saenko, O. A. Approximation of covariation function of the estimation errors: verification of accuracy and generalization for the case of cross-correlation functions.Mar. Hydrophys. J. (1992)4, 37–45.

    Google Scholar 

  11. Bulushev, M. G. A numerical study of physical mechanisms of the field hydrodynamic adaptation in the equatorial zone of the ocean. Doctoral Thesis. Moscow: Inst. Numer. Math., Russian Acad. Sci. (1990).

    Google Scholar 

Download references

Authors

Additional information

Translated by Mikhail M. Trufanov.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Knysh, V.V., Chernov, V.V. Assimilation of altimetry data in the numerical model of the circulation in the Black Sea: The model numerical experiments. Phys. Oceanogr. 5, 423–434 (1994). https://doi.org/10.1007/BF02198508

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02198508

Keywords

Navigation