Breaking internal waves on sloping topography: connecting parcel displacements to overturn size, interior-boundary exchanges, and mixing

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Authors

Victoria Whitley , Jacob O. Wenegrat

Abstract

Internal waves impinging on sloping topography can generate mixing through the formation of near-bottom bores and overturns in what has been called the `internal swash' zone. Here we investigate the mixing generated during these breaking events, and the subsequent ventilation of the bottom boundary layer, across a realistic non-dimensional parameter space for the ocean using three-dimensional large eddy simulations. Waves overturn and break at two points during a wave period: when the downslope velocity is strongest and during the rapid onset of a dense, upslope bore. From the first overturning bore to the expulsion of fluid into the interior, there is a strong dependence on the length scale defined by the ratio of wave velocity over the background buoyancy frequency, an upper bound on the vertical parcel displacement an internal wave can cause. While a similar energetically-motivated vertical length scale is often seen in the context of lee wave generation over topography, the results discussed here suggest this parameter can be used to determine the size of near-boundary overturns, the strength of the ensuing turbulent mixing, and the vertical scale of the along-isopycnal intrusions of fluid ejected from the boundary layer. Consideration of a volume budget of the near-boundary region highlights spatial and temporal variability that must be taken into account when determining the water-mass transformation during this process.

DOI

https://doi.org/10.31223/X5PM5Q

Subjects

Physical Sciences and Mathematics

Keywords

internal waves, Breaking Waves, Topography Interactions, Large Eddy Simulations, Submesoscale

Dates

Published: 2024-04-05 17:32

Last Updated: 2024-12-18 04:02

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License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Data Availability (Reason not available):
Model configuration and analysis scripts will be made publicly available via github.com before manuscript publication.