A hybrid data assimilation method and its comparison with an Ensemble Optimal Interpolation scheme in conjunction with the numerical ocean model using altimetry data
- 1Shirshov Institute of Oceanology of Russian Academy of Sciences, Moscow, 117997, Russia
- 2Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, 125047, Russia
- 3Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, 119991, Russia
- 4Federal University of Bahia, Physics Institute and Center for Research in Geophysics and Geology, Salvador BA, 40170-280, Brazil
- 1Shirshov Institute of Oceanology of Russian Academy of Sciences, Moscow, 117997, Russia
- 2Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, 125047, Russia
- 3Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, 119991, Russia
- 4Federal University of Bahia, Physics Institute and Center for Research in Geophysics and Geology, Salvador BA, 40170-280, Brazil
Abstract. An original hybrid data assimilation scheme recently developed is presented and tested. The scheme is based on the application of the theory of diffusion random processes. It is applied here in conjunction with the Hybrid-Coordinate Ocean Model (HYCOM) to assimilate altimetry data from the Archiving, Validating and Interpolating Satellite Oceanography Data (AVISO) in the Atlantic. Several numerical experiments were conducted and their results were analyzed. It is shown that the method is able to assimilate data and to produce analyses closer to observations. It also conserves the model balance. This method allows calculating the confidence range of the analyses by estimating their errors The presented method is compared with the Ensemble Optimal Interpolation scheme (EnOI) and it is shown that it has several advantages, in particular, it provides a better forecast and requires less computational cost.
Konstantin Belyaev et al.


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RC1: 'Formal Review', Anonymous Referee #1, 25 Jul 2019
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AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
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AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019
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AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
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RC2: 'Comments on the paper "A hybrid data assimilation method and its comparison with an Ensemble Optimal Interpolation scheme in conjunction with the numerical ocean model using altimetry data"', Anonymous Referee #2, 08 Aug 2019
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AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019
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AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
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AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019


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RC1: 'Formal Review', Anonymous Referee #1, 25 Jul 2019
-
AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
-
AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019
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AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
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RC2: 'Comments on the paper "A hybrid data assimilation method and its comparison with an Ensemble Optimal Interpolation scheme in conjunction with the numerical ocean model using altimetry data"', Anonymous Referee #2, 08 Aug 2019
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AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019
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AC1: 'Response to the Referee 1', Andrey Kuleshov, 21 Aug 2019
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AC2: 'Response to the Referee 2', Andrey Kuleshov, 21 Aug 2019
Konstantin Belyaev et al.
Konstantin Belyaev et al.
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