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A rational model for Langmuir circulations

Craik, A. D. D., Leibovich, S.·1976·Journal of Fluid Mechanics

Abstract

A realistic theoretical model of steady Langmuir circulations is constructed. Vorticity in the wind direction is generated by the Stokes drift of the gravity-wave field acting upon spanwise vorticity deriving from the wind-driven current. We believe that the steady Langmuir circulations represent a balance between this generating mechanism and turbulent dissipation. Nonlinear equations governing the motion are derived under fairly general conditions. Analytical and numerical solutions are sought for the case of a directional wave spectrum consisting of a single pair of gravity waves propagating at equal and opposite angles to the wind direction. Also, a statistical analysis, based on linearized equations, is developed for more general directional wave spectra. This yields an estimate of the average spacing of windrows associated with Langmuir circulations. The latter analysis is applied to a particular example with simple properties, and produces an expected windrow spacing of rather more than twice the length of the dominant gravity waves. The relevance of our model is assessed with reference to known observational features, and the evidence supporting its applicability is promising.

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Metadata

Authors
Craik, A. D. D., & Leibovich, S.
Venue
Journal of Fluid Mechanics
Published
1976-02-10
Volume
73
Issue
3
Pages
401-426
ISSN
  • 0022-1120 (ISSN-L)
  • 1469-7645
OpenAlex
W2131809220
Cited by
724
References
0
FWCI
4.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A rational model for Langmuir circulations. https://app.cochat.ai/papers/10.1017/s0022112076001420
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Craik, A. D. D., & Leibovich, S. (1976). A rational model for Langmuir circulations. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112076001420

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.