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Mathematical Models and Computer Simulations

Erschienen in:

01.10.2023

Numerical Experiments with the Nemo Ocean Circulation Model and the Assimilation of Observational Data from Argo Drifters

verfasst von: K. P. Belyaev, A. A. Kuleshov, Yu. D. Resnyanskii, I. N. Smirnov, R. Yu. Fadeev

Erschienen in: Mathematical Models and Computer Simulations | Ausgabe 5/2023

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Abstract

In this paper the spatiotemporal variability of the characteristics of the ocean circulation model, the Nucleus for European Modeling of the Ocean (NEMO), is studied with data assimilation in conjunction with the generalized Kalman filtering (GKF) method, previously developed by the authors. In this study, the numerical experiments were carried out with the global version of the NEMO model on the ORCA1 grid using a principally new approach for determining the key parameters of the GKF method. Simulation was carried out on a selected time interval of 1 month of the spatiotemporal variability of the ocean characteristics created by the NEMO model, both using the proposed data assimilation method with the archive of observational data from Argo drifters at different horizons, and without assimilation. The results of the numerical experiments are analyzed.

Vorheriger Artikel Numerical Modeling of Three-Dimensional Variable-Density Flows by the Multilayer Hydrostatic Model Based on the CABARET Scheme

Nächster Artikel Numerical Determination of the Splitting of Natural Frequencies of a Thin-Walled Shell with Small Nonaxisymmetric Imperfections of the Middle Surface

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Titel: Numerical Experiments with the Nemo Ocean Circulation Model and the Assimilation of Observational Data from Argo Drifters
verfasst von: K. P. Belyaev
A. A. Kuleshov
Yu. D. Resnyanskii
I. N. Smirnov
R. Yu. Fadeev
Publikationsdatum: 01.10.2023
Verlag: Pleiades Publishing
Erschienen in: Mathematical Models and Computer Simulations / Ausgabe 5/2023
Print ISSN: 2070-0482
Elektronische ISSN: 2070-0490
DOI: https://doi.org/10.1134/S2070048223050022

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