Laboratory and theoretical modeling of air‐sea momentum transfer under severe wind conditions

Troitskaya, Yuliya; Sergeev, D. A.; Kandaurov, Alexander; Baidakov, G. A.; Vdovin, Maxim; Kazakov, V. I.

doi:10.1029/2011jc007778

Cited by 96 publications

(92 citation statements)

References 56 publications

(71 reference statements)

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“…In this reference frame the Reynolds equations contain only 2 coordinates and a stream function can be introduced. Derivation of the quasi-linear set of coupled equations for the mean wave fields and harmonics is described in detail in Troitskaya et al (2012). Its extension to the case of a stratified atmosphere is similar to that described in Part 1 for the case of a single harmonic wave at the water surface.…”

Section: Basic Equations Of a Quasi-linear Model Of A Turbulent Stratmentioning

confidence: 99%

Momentum and buoyancy transfer in atmospheric turbulent boundary layer over wavy water surface – Part 2: Wind–wave spectra

Troitskaya

Ezhova

Sergeev

et al. 2013

Nonlin. Processes Geophys.

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Abstract. Drag and mass exchange coefficients are calculated within a self-consistent problem for the wave-induced air perturbations and mean velocity and density fields using a quasi-linear model based on the Reynolds equations with down-gradient turbulence closure. This second part of the report is devoted to specification of the model elements: turbulent transfer coefficients and wave numberfrequency spectra. It is shown that the theory agrees with laboratory and field experimental data well when turbulent mass and momentum transfer coefficients do not depend on the wave parameters. Among several model spectra better agreement of the theoretically calculated drag coefficients with TOGA (Tropical Ocean Global Atmosphere) COARE (Coupled Ocean-Atmosphere Response Experiment) data is achieved for the Hwang spectrum (Hwang, 2005) with the high frequency part completed by the Romeiser spectrum (Romeiser et al., 1997).

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Section: Basic Equations Of a Quasi-linear Model Of A Turbulent Stratmentioning

confidence: 99%

Momentum and buoyancy transfer in atmospheric turbulent boundary layer over wavy water surface – Part 2: Wind–wave spectra

Troitskaya

Ezhova

Sergeev

et al. 2013

Nonlin. Processes Geophys.

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“…The airflow velocity at the axis of the channel is proportional to f and varies from 4 m/s to 20 m/s (see Fig 3), which corresponds to the equivalent speed of 7-42 m/s. The detailed description of the experimental facility, the principles of creating and controlling the airflow is given in [22]. The general scheme of the experiments is shown in Fig.…”

Section: The Description Of the Experimental Setup For The Study Of Hmentioning

confidence: 99%

“…The advantage of FDM against WDM is due to its higher spectral resolution (see [22]). Judging by the balance of the frequency resolution and signal accumulation time later was selected the window size of 512 samples (5,12 seconds).…”

Section: Measuring Parameters Of Surface Wavesmentioning

confidence: 99%

“…Three-dimensional spacetime spectra were obtained from the measured data by the algorithm FDM (Fourier Directional Method) [22], similar to Wavelet Directional Method (WDM), suggested in [27]. Then, the three-dimensional space-time spectrum , , S k Z T can be obtained similar to [26] by using the conditional averaging of the spectral amplitudes by k andT .…”

Section: Measuring Parameters Of Surface Wavesmentioning

confidence: 99%

“…To determine the parameters of the atmospheric boundary layer the algorithm suggested in [22] was used, which generalizes the model of the boundary layer near a flat surface [24]. It is well known that the boundary layer on a smooth flat plate is composed of the viscous sublayer having a thickness of about * / vis a u G Q (less than 1 mm), positioned above the layer of constant fluxes having a thickness of about 0,15G, where G is the boundary layer displacement thickness; and "the wake" part of the turbulent boundary layer, located higher up to the border of the displacement layer.…”

Section: The Determination Of Heat and Momentum Flows On The Velocitymentioning

confidence: 99%

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Laboratory modelling of the transfer processes between the ocean and atmosphere in the boundary layers

et al. 2017

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Abstract. The processes of momentum and heat transfer between ocean and atmosphere in the boundary layer were investigated within laboratory modeling for a wide range of wind speed and surface wave including hurricane conditions. Experiments were carried out on the Wind-Wave Flume of the Large Thermostratified Tank of IAP RAS. A special net located under the surface at different depths allows to vary parameters of surface waves independently on wind parameters. Theory of self-similarity of air flow parameters in the flume was used to calculate values aerodynamic and heat transfer coefficients from the measured velocity and temperature profiles by Pito and hotfilm gauges respectively. Simultaneous measurements of surface elevation with system wire allow to obtain spectra and integral parameters of waves. It was demonstrated that in contrast to the drag coefficient, heat transfer coefficient is virtually independent of wind speed and wave parameters to the moment of the beginning of spray generation and then increases rapidly.

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Typhoon air‐sea drag coefficient in coastal regions

Zhao

Liu

et al. 2015

JGR Oceans

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The air-sea drag during typhoon landfalls is investigated for a 10 m wind speed as high as U 10 % 42 m s 21 , based on multilevel wind measurements from a coastal tower located in the South China Sea.The drag coefficient (C D ) plotted against the typhoon wind speed is similar to that of open ocean conditions; however, the C D curve shifts toward a regime of lower winds, and C D increases by a factor of approximately 0.5 relative to the open ocean. Our results indicate that the critical wind speed at which C D peaks is approximately 24 m s 21 , which is 5-15 m s 21 lower than that from deep water. Shoaling effects are invoked to explain the findings. Based on our results, the proposed C D formulation, which depends on both water depth and wind speed, is applied to a typhoon forecast model. The forecasts of typhoon track and surface wind speed are improved. Therefore, a water-depth-dependence formulation of C D may be particularly pertinent for parameterizing air-sea momentum exchanges over shallow water.

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Laboratory and theoretical modeling of air‐sea momentum transfer under severe wind conditions

Cited by 96 publications

References 56 publications

Momentum and buoyancy transfer in atmospheric turbulent boundary layer over wavy water surface – Part 2: Wind–wave spectra

Momentum and buoyancy transfer in atmospheric turbulent boundary layer over wavy water surface – Part 2: Wind–wave spectra

Laboratory modelling of the transfer processes between the ocean and atmosphere in the boundary layers

Typhoon air‐sea drag coefficient in coastal regions

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