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    A Sea Surface–Based Drag Model for Large-Eddy Simulation of Wind–Wave Interaction

    Source: Journal of the Atmospheric Sciences:;2022:;volume( 080 ):;issue: 001::page 49
    Author:
    Aditya K. Aiyer
    ,
    Luc Deike
    ,
    Michael E. Mueller
    DOI: 10.1175/JAS-D-21-0329.1
    Publisher: American Meteorological Society
    Abstract: Monin–Obukhov similarity theory (MOST) is a well-tested approach for specifying the fluxes when the roughness surfaces are homogeneous. For flow over waves (inhomogeneous surfaces), phase-averaged roughness length scales are often prescribed through models based on the wave characteristics and the wind speed. However, such approaches lack generalizability over different wave ages and steepnesses due to the reliance on model coefficients tuned to specific datasets. In this paper, a sea surface–based hydrodynamic drag model applicable to moving surfaces is developed to model the pressure-based surface drag felt by the wind due to the waves. The model is based on the surface gradient approach of Anderson and Meneveau applicable to stationary obstacles and extended here to the wind–wave problem. The wave drag model proposed specifies the hydrodynamic force based on the incoming momentum flux, wave phase speed, and the surface frontal area. The drag coefficient associated with the wind–wave momentum exchange is determined based on the wave steepness. The wave drag model is used to simulate turbulent airflow above a monochromatic wave train with different wave ages and wave steepnesses. The mean velocity profiles and model form stresses are validated with available laboratory-scale experimental data and show good agreement across a wide range of wave steepnesses and wave ages. The drag force is correlated with the wave surface gradient and out-of-phase with the wave height distribution by a factor of
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      A Sea Surface–Based Drag Model for Large-Eddy Simulation of Wind–Wave Interaction

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4290177
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    contributor authorAditya K. Aiyer
    contributor authorLuc Deike
    contributor authorMichael E. Mueller
    date accessioned2023-04-12T18:44:56Z
    date available2023-04-12T18:44:56Z
    date copyright2022/12/14
    date issued2022
    identifier otherJAS-D-21-0329.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290177
    description abstractMonin–Obukhov similarity theory (MOST) is a well-tested approach for specifying the fluxes when the roughness surfaces are homogeneous. For flow over waves (inhomogeneous surfaces), phase-averaged roughness length scales are often prescribed through models based on the wave characteristics and the wind speed. However, such approaches lack generalizability over different wave ages and steepnesses due to the reliance on model coefficients tuned to specific datasets. In this paper, a sea surface–based hydrodynamic drag model applicable to moving surfaces is developed to model the pressure-based surface drag felt by the wind due to the waves. The model is based on the surface gradient approach of Anderson and Meneveau applicable to stationary obstacles and extended here to the wind–wave problem. The wave drag model proposed specifies the hydrodynamic force based on the incoming momentum flux, wave phase speed, and the surface frontal area. The drag coefficient associated with the wind–wave momentum exchange is determined based on the wave steepness. The wave drag model is used to simulate turbulent airflow above a monochromatic wave train with different wave ages and wave steepnesses. The mean velocity profiles and model form stresses are validated with available laboratory-scale experimental data and show good agreement across a wide range of wave steepnesses and wave ages. The drag force is correlated with the wave surface gradient and out-of-phase with the wave height distribution by a factor of
    publisherAmerican Meteorological Society
    titleA Sea Surface–Based Drag Model for Large-Eddy Simulation of Wind–Wave Interaction
    typeJournal Paper
    journal volume80
    journal issue1
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-21-0329.1
    journal fristpage49
    journal lastpage62
    page49–62
    treeJournal of the Atmospheric Sciences:;2022:;volume( 080 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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