Multitime scale model of turbulence in the sea surface layer

Chukharev, A. M.

doi:10.1134/s0001433813040026

Cited by 11 publications

(13 citation statements)

References 20 publications

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“…In the model [10], to estimate the contribution of the breaking waves to the layer turbulization, the penetration under the surface of the breaking part of the wave was considered as the aerated jet propagation in the liquid. The necessary parameters, such as the probability of breaking and the width of the crest of breaking waves, were determined using empirical formulas [21,22].…”

Section: Calculating the Turbulence Generation Rate Of In Modelsmentioning

confidence: 99%

“…In [10], the energy flow to turbulence from non-breaking waves was assumed to be proportional to the kinetic energy of orbital motion and for the plane case (twodimensional waves) was determined in accordance with [34, p. 1981…”

Section: Calculating the Turbulence Generation Rate Of In Modelsmentioning

confidence: 99%

“…The dissipation rate profile determined from the experimental data was compared with the calculations obtained using various models. The method for calculating of ɛ is described in sufficient detail in [10].…”

Section: Experimental Datamentioning

confidence: 99%

“…Later models [8,9] took into account, first, the breaking of surface waves as a source of turbulence, the second most important was the drift current velocity shear. In the multiscale model [10], all of the aforementioned generation mechanisms are considered, although it is noted that in some hydrometeorological situations none of the models, including the proposed one, gives good agreement with the experimental results in the calculations. A possible reason for the discrepancy between the results of model calculations and measurement data is, in particular, the absence of such sources of turbulence as LC and microbreakings in the model.…”

Section: Introductionmentioning

confidence: 99%

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Model and Experimental Estimates of Vertical Mixing Intensity in the Sea Upper Homogeneous Layer

Chukharev¹,

Pavlov²

2021

PhO

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Purpose. The study is aimed at qualitative and quantitative analysis (based on the updated previously proposed multiscale model) of the experimental data on turbulence intensity and their comparison with theoretical and semi-empirical relationships for the purpose of describing the contributions of various turbulence sources. Methods and Results. A comparative analysis of experimental data and model calculations of turbulence characteristics near the sea surface was performed. The methods of theoretical assessing generation of turbulence in the near-surface sea layer by various physical processes are considered. The results of calculations by the well-known models of turbulent exchange were compared with the experimental data collected by the scientists of the Turbulence Department of MHI, RAS, using the specialized equipment. The analysis results made it possible to determine the possibility of applying the considered models for calculating turbulence intensity under different hydrometeorological conditions. At light winds, none of the models yielded the results which matched the measurement data. At moderate winds, the simulation results showed quite satisfactory agreement with the experiment data; and for strong winds, the multiscale model results were the best. This model was modified to assess the contributions of two other mechanisms of turbulence generation: the Stokes drift and the Langmuir circulations. Conclusions. Objective assessment of the turbulent exchange intensity requires taking into account of three main mechanisms of turbulence generation, namely flow velocity shear, wave motions and wave breaking. Depending on the hydrometeorological situation, each of these mechanisms can dominate in a certain depth range. The calculations performed using the updated model showed that the Stokes drift added 2–17 % to the total dissipation in the upper 30-meter layer, whereas the contribution of the Langmuir circulations calculated through dependence of the vertical velocity of kinetic energy transfer upon the Langmuir number, can reach 15 % for small Langmuir numbers.

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Section: Calculating the Turbulence Generation Rate Of In Modelsmentioning

confidence: 99%

Section: Calculating the Turbulence Generation Rate Of In Modelsmentioning

confidence: 99%

Section: Experimental Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model and Experimental Estimates of Vertical Mixing Intensity in the Sea Upper Homogeneous Layer

Chukharev¹,

Pavlov²

2021

PhO

Self Cite

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“…Thus, the conditions in the measurements area are close to the open sea conditions. More detailed information about the experiments and methods for estimating the intensity of turbulence is given in [12].…”

Section: Field Measurements Of Hydrophysical Characteristics In the Mmentioning

confidence: 99%

Identification of large turbulent structures from simultaneous field and satellite measurements

Chukharev¹,

Pavlenko²

2020

Sovr. Probl. DZZ Kosm.

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Calculation of the Turbulent Exchange Intensity in the Sea Upper Homogeneous Layer

Chukharev

Samodurov

2021

Processes in GeoMedia - Volume II

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Multitime scale model of turbulence in the sea surface layer

Cited by 11 publications

References 20 publications

Model and Experimental Estimates of Vertical Mixing Intensity in the Sea Upper Homogeneous Layer

Model and Experimental Estimates of Vertical Mixing Intensity in the Sea Upper Homogeneous Layer

Identification of large turbulent structures from simultaneous field and satellite measurements

Calculation of the Turbulent Exchange Intensity in the Sea Upper Homogeneous Layer

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