Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model

Konstantin Belyaev, Andrey Kuleshov, Ilya Smirnov and Clemente A. S. Tanajura
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Konstantin Belyaev: Shirshov Institute of Oceanology, Russian Academy of Sciences, 117997 Moscow, Russia
Andrey Kuleshov: Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, 125047 Moscow, Russia
Ilya Smirnov: Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991 Moscow, Russia
Clemente A. S. Tanajura: Physics Institute and Center for Research in Geophysics and Geology, Federal University of Bahia, Salvador 40170-280, Brazil

Mathematics, 2021, vol. 9, issue 19, 1-15

Abstract: In this paper, we consider a recently developed data assimilation method, the Generalized Kalman Filter (GKF), which is a generalization of the widely-used Ensemble Optimal Interpolation (EnOI) method. Both methods are applied for modeling the Atlantic Ocean circulation using the known Hybrid Coordinate Ocean Model. The along-track altimetry data taken from the Archiving, Validating and Interpolating Satellite Oceanography Data (AVISO) were used for data assimilation and other data from independent archives of observations; particularly, the temperature and salinity data from the Pilot Research Array in the Tropical Atlantic were used for independent comparison. Several numerical experiments were performed with their results discussed and analyzed. It is shown that values of the ocean state variables obtained in the calculations using the GKF method are closer to the observations in terms of standard metrics in comparison with the calculations using the standard data assimilation method EnOI. Furthermore, the GKF method requires less computational effort compared to the EnOI method.

Keywords: data assimilation methods; Generalized Kalman Filter; EnOI method; ocean modeling; satellite altimetry data (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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