Breaking wave field statistics with a multi-layer model

被引:1
|
作者
Wu, Jiarong [1 ]
Popinet, Stephane [2 ]
Deike, Luc [1 ,3 ]
机构
[1] Princeton Univ, Mech & Aerosp Engn, Princeton, NJ 08540 USA
[2] Sorbonne Univ, Inst Jean Rond Alembert, CNRS, UMR 7190, Paris, France
[3] Princeton Univ, High Meadows Environm Inst, Princeton, NJ 08540 USA
基金
美国国家科学基金会;
关键词
surface gravity waves; wave breaking; air/sea interactions; OCEANIC BOUNDARY-LAYER; WHITECAP COVERAGE; EQUILIBRIUM RANGE; AIR ENTRAINMENT; DEEP-WATER; PART; WIND; DISSIPATION; SPECTRUM; BUBBLE;
D O I
10.1017/jfm.2023.522
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The statistics of breaking wave fields are characterised within a novel multi-layer framework, which generalises the single-layer Saint-Venant system into a multi-layer and non-hydrostatic formulation of the Navier-Stokes equations. We simulate an ensemble of phase-resolved surface wave fields in physical space, where strong nonlinearities, including directional wave breaking and the subsequent highly rotational flow motion, are modelled, without surface overturning. We extract the kinematics of wave breaking by identifying breaking fronts and their speed, for freely evolving wave fields initialised with typical wind wave spectra. The ?(c) distribution, defined as the length of breaking fronts (per unit area) moving with speed c to c + dc following Phillips (J. Fluid Mech., vol. 156, 1985, pp. 505-531), is reported for a broad range of conditions. We recover the ?(c) ? c(-6) scaling without wind forcing for sufficiently steep wave fields. A scaling of ?(c) based solely on the root-mean-square slope and peak wave phase speed is shown to describe the modelled breaking distributions well. The modelled breaking distributions are in good agreement with field measurements and the proposed scaling can be applied successfully to the observational data sets. The present work paves the way for simulations of the turbulent upper ocean directly coupled to a realistic breaking wave dynamics, including Langmuir turbulence, and other sub-mesoscale processes.
引用
收藏
页数:18
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