Mixing parameterizations in ocean climate modeling

Results of numerical experiments with an eddy-permitting ocean circulation model on the simulation of the climatic variability of the North Atlantic and the Arctic Ocean are analyzed. We compare the ocean simulation quality with using different subgrid mixing parameterizations. The circulation model...

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Vydáno v:Izvestiya. Atmospheric and oceanic physics Ročník 52; číslo 2; s. 196 - 206
Hlavní autoři: Moshonkin, S. N., Gusev, A. V., Zalesny, V. B., Byshev, V. I.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.03.2016
Springer Nature B.V
Témata:
Climate
Climate models
Climatology
Earth and Environmental Science
Earth Sciences
Experiments
Geophysics/Geodesy
Marine
Ocean circulation
Oceans
Simulation
Water circulation
AN, North Atlantic
PNW, Beaufort Gyre
AN, North Atlantic, Gulf Stream
PN, Arctic Ocean
PN, Arctic Basin
mixing parametrization
ocean circulation model
ocean climate
ISSN:0001-4338, 1555-628X
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Shrnutí:Results of numerical experiments with an eddy-permitting ocean circulation model on the simulation of the climatic variability of the North Atlantic and the Arctic Ocean are analyzed. We compare the ocean simulation quality with using different subgrid mixing parameterizations. The circulation model is found to be sensitive to a mixing parametrization. The computation of viscosity and diffusivity coefficients by an original splitting algorithm of the evolution equations for turbulence characteristics is found to be as efficient as traditional Monin–Obukhov parameterizations. At the same time, however, the variability of ocean climate characteristics is simulated more adequately. The simulation of salinity fields in the entire study region improves most significantly. Turbulent processes have a large effect on the circulation in the long-term through changes in the density fields. The velocity fields in the Gulf Stream and in the entire North Atlantic Subpolar Cyclonic Gyre are reproduced more realistically. The surface level height in the Arctic Basin is simulated more faithfully, marking the Beaufort Gyre better. The use of the Prandtl number as a function of the Richardson number improves the quality of ocean modeling.
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ISSN:0001-4338
1555-628X
DOI:10.1134/S0001433816010084