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Modeling the origin and evolution of convective vortex structures on a slope. Numerical experiment

https://doi.org/10.59887/2073-6673.2025.18(4)-2

EDN: EISBND

Abstract

A detailed non-hydrostatic model of gravitational flow over an inclined bottom is being developed, which is capable of explicitly reproduce convective cells for future generalization and new parameterizations development. To minimize numerical noise, the method of an inclined computational domain and a regular rectangular grid are used. The properties of high-order accurate advection schemes are investigated. The fundamental possibility of explicitly numerical reproduction of relatively large (on the order of a meter or more) ocean turbulent structures, such as convective cells, is demonstrated. A high-resolution digital array of 3-dimensional velocity and tracer fields (active and passive) created based on a physical experiment for a range of Reynolds numbers of 30–300. This array will be used to develop new parameterizations for a large-scale ocean circulation model.

About the Authors

R. Ye. Vankevich
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

Scopus AuthorID: 25642198100, WoS ResearcherID: M-3215-2013 

36 Nakhimovsky Prosp., Moscow 117997 



А. А. Rodionov
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

Scopus AuthorID: 56223713100, WoS ResearcherID: AAT-6466-2021 

36 Nakhimovsky Prosp., Moscow 117997 



N. N. Shpilev
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

36 Nakhimovsky Prosp., Moscow 117997 



V. V. Chebotkova
Shirshov Institute of Oceanology, Russian Academy of Sciences
Russian Federation

36 Nakhimovsky Prosp., Moscow 117997 



References

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Review

For citations:


Vankevich R.Ye., Rodionov А.А., Shpilev N.N., Chebotkova V.V. Modeling the origin and evolution of convective vortex structures on a slope. Numerical experiment. Fundamental and Applied Hydrophysics. 2025;18(4):20-27. (In Russ.) https://doi.org/10.59887/2073-6673.2025.18(4)-2. EDN: EISBND

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ISSN 2073-6673 (Print)
ISSN 2782-5221 (Online)