Mixing parameterizations in ocean climate modeling

Moshonkin, S. N.; Гусев, А. В.; Zalesny, V. B.; Byshev, V. I.

doi:10.1134/s0001433816010084

Cited by 5 publications

(10 citation statements)

References 14 publications

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“…However, the algorithm using the analytical solution (24)- (25) shows a slightly better result with respect to the salinity field. The use of the asymptotic solution (28) leads to noticeable differences of the solution in comparison with the two previous algorithms [9].…”

Section: The Two-equation K-omega Turbulence Modelmentioning

confidence: 99%

“…At the top and bottom surfaces we apply the corresponding boundary conditions for momentum, heat and salt fluxes, turbulent kinetic energy, and dissipation frequency [7,9]. At the lateral boundary, normal velocity, normal derivative of tangent velocity, heat, salt, turbulent kinetic energy and dissipation frequency fluxes are assumed to be equal to zero.…”

Section: The Two-equation K-omega Turbulence Modelmentioning

confidence: 99%

“…The k − kl Mellor-Yamada level 2.5 model (MY) [13,21,22] and its modifications [16,23] are most used for parameterization of turbulent viscosity and diffusivity in OGCMs [13,15]. Usage of the k − and k − ω models for the parameterization of K U , K T and K S in OGCMs has some specific features [9,24].…”

Section: Introductionmentioning

confidence: 99%

“…In OGCMs, vertical mixing is parameterized using a second-order differential operator with variable exchange coefficients K U , K T and K S [1][2][3][4][5]. The two basic approaches are used to determine these coefficients: (1) they are defined as functions of stratification and velocity shift or the local Richardson number [1,[6][7][8]; (2) they can be found using additional turbulence models [3,[9][10][11][12][13][14][15]. The first approach is more simple and efficient from the computational point of view.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Moshonkin¹,

Zalesny²,

Гусев³

2018

Preprint

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Abstract:A method for solving the turbulence equations embedded in the sigma ocean general ocean circulation model is proposed. Like the general circulation model, the turbulence equations are solved using the splitting method by physical processes. The turbulence equations are split into two main stages describing transport-diffusion and generation-dissipation processes. Parameterization of turbulence in the framework of equations allows, at the generation-dissipation stage, to use both numerical and analytical solutions and to ensure high efficiency of the algorithm. The results of large-scale ocean dynamics simulation taking into account the parameterization of vertical turbulent exchange are considered. Numerical experiments were carried out using k-omega turbulence model embedded to the Institute of Numerical Mathematics Ocean general circulation Model (INMOM). Both the circulation and turbulence models are solved using the splitting method with respect to physical processes. The coupled model is used to simulate the hydrophysical fields of the North Atlantic and Arctic Oceans for . The model has a horizontal resolution of 0.25 degree and 40 sigma-levels along the vertical. The sensitivity of the solution to the changes in mixing parameterization is studied. Experiments demonstrate that taking into account the climatic annual mean buoyancy frequency improves the reproduction of large-scale ocean characteristics. There is a positive effect of Prandtl number variations for reproducing the upper mixed layer depth. The experiments also demonstrate the computational effectiveness of the proposed approach in solving the turbulence equations.

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Section: The Two-equation K-omega Turbulence Modelmentioning

confidence: 99%

Section: The Two-equation K-omega Turbulence Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Moshonkin¹,

Zalesny²,

Гусев³

2018

Preprint

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation of the Arctic—North Atlantic Ocean Circulation with a Two-Equation K-Omega Turbulence Parameterization

Moshonkin

Zalesny

Гусев

2018

JMSE

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The results of large-scale ocean dynamics simulation taking into account the parameterization of vertical turbulent exchange are considered. Numerical experiments were carried out using k − ω turbulence model embedded to the Institute of Numerical Mathematics Ocean general circulation Model (INMOM). Both the circulation and turbulence models are solved using the splitting method with respect to physical processes. We split k − ω equations into the two stages describing transport-diffusion and generation-dissipation processes. At the generation-dissipation stage, the equation for ω does not depend on k. It allows us to solve both turbulence equations analytically that ensure high computational efficiency. The coupled model is used to simulate the hydrophysical fields of the North Atlantic and Arctic Oceans for 1948–2009. The model has a horizontal resolution of 0.25 ∘ and 40 σ -levels along the vertical. The numerical results show the model’s satisfactory performance in simulating large-scale ocean circulation and upper layer dynamics. The sensitivity of the solution to the change in the coefficients entering into the analytical solution of the k − ω model which describe the influence of some physical factors is studied. These factors are the climatic annual mean buoyancy frequency (AMBF) and Prandtl number as a function of the Richardson number. The experiments demonstrate that taking into account the AMBF improves the reproduction of large-scale ocean characteristics. Prandtl number variations improve the upper mixed layer depth simulation.

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Algorithm of the k–ω Turbulence Equations Solution for the Ocean General Circulation Model

Moshonkin

Zalesny

Гусев

2018

Izv. Atmos. Ocean. Phys.

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Mixing parameterizations in ocean climate modeling

Cited by 5 publications

References 14 publications

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Simulation of the Arctic—North Atlantic Ocean Circulation with a Two-Equation K-Omega Turbulence Parameterization

Algorithm of the k–ω Turbulence Equations Solution for the Ocean General Circulation Model

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Mixing parameterizations in ocean climate modeling

Cited by 5 publications

References 14 publications

Simulation of the Arctic &ndash; North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Simulation of the Arctic &ndash; North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Simulation of the Arctic—North Atlantic Ocean Circulation with a Two-Equation K-Omega Turbulence Parameterization

Algorithm of the k–ω Turbulence Equations Solution for the Ocean General Circulation Model

Contact Info

Product

Resources

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Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization