2020
DOI: 10.1134/s0001433820030020
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Variational Data Assimilation in Problems of Modeling Hydrophysical Fields in Open Water Areas

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Cited by 6 publications
(2 citation statements)
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“…In a broader sense, domain decomposition is an indispensable approach to achieving multiscale and multiphysics simulations. A theoretical study on domain decomposition and data assimilation in the computation of a linearized version of the shallow water equations was demonstrated for Baltic Sea circulation [28,29]. In this study, assimilation data with randomness (to mimic observation data) was imposed at an open boundary of a subdomain that was linked to another subdomain.…”
Section: A Discussion Of the Collected Papersmentioning
confidence: 99%
“…In a broader sense, domain decomposition is an indispensable approach to achieving multiscale and multiphysics simulations. A theoretical study on domain decomposition and data assimilation in the computation of a linearized version of the shallow water equations was demonstrated for Baltic Sea circulation [28,29]. In this study, assimilation data with randomness (to mimic observation data) was imposed at an open boundary of a subdomain that was linked to another subdomain.…”
Section: A Discussion Of the Collected Papersmentioning
confidence: 99%
“…In [15], a parallel implementation of the ensemble interpolation method for assimilating observational data in a eddy-resolving model of ocean dynamics is proposed, and the results of numerical experiments in the North Atlantic when assimilating the AVISO satellite altimetry data from the Jason-1 satellite are analyzed. In [16], the algorithms for variational assimilation of temperature and level data at the liquid boundary are formulated, and the results of numerical experiments on the use of algorithms in the Baltic Sea circulation model are presented.…”
Section: Introductionmentioning
confidence: 99%