Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-23T12:23:30.360Z Has data issue: false hasContentIssue false

Numerical and laboratory investigation of breaking of steep two-dimensional waves in deep water

Published online by Cambridge University Press:  27 January 2010

ALEXANDER V. BABANIN*
Affiliation:
Swinburne University of Technology, Melbourne, Victoria 3122, Australia
DMITRY CHALIKOV
Affiliation:
Swinburne University of Technology, Melbourne, Victoria 3122, Australia P.P. Shirshov Institute of Oceanology, Maly Pr. V. I. Saint-Petersburg 199053, Russia
I. R. YOUNG
Affiliation:
Swinburne University of Technology, Melbourne, Victoria 3122, Australia
IVAN SAVELYEV
Affiliation:
RSMAS, University of Miami, FL 33149, USA
*
Email address for correspondence: ABabanin@groupwise.swin.edu.au

Abstract

The paper extends a pilot study into a detailed investigation of properties of breaking waves and processes responsible for breaking. Simulations of evolution of steep to very steep waves to the point of breaking are undertaken by means of the fully nonlinear Chalikov–Sheinin model. Particular attention is paid to evolution of nonlinear wave properties, such as steepness, skewness and asymmetry, in the physical, rather than Fourier space, and to their interplay leading to the onset of breaking. The role of superimposed wind is also investigated. The capacity of the wind to affect the breaking onset is minimal unless the wind forcing is very strong. Wind is, however, important as a source of energy for amplification of the wave steepness and ultimately altering the breaking statistics. A detailed laboratory study is subsequently described. The theoretical predictions are verified and quantified. In addition, some features of the nonlinear development not revealed by the model (i.e. reduction of the wave period which further promotes an increase in steepness prior to breaking) are investigated. Physical properties of the incipient breaker are measured and examined, as well as characteristics of waves both preceding and following the breaker. The experiments were performed both with and without a superimposed wind, the role of which is also investigated. Since these idealized two-dimensional results are ultimately intended for field applications, tentative comparisons with known field data are considered. Limitations which the modulational instability mechanism can encounter in real broadband three-dimensional environments are highlighted. Also, substantial examination of existing methods of breaking onset detection are discussed and inconsistencies of existing measurements of breaking rates are pointed out.

Type
Papers
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Agnon, Y., Babanin, A. V., Chalikov, D. & Young, I. R. 2005 Fine scale inhomogeneity of wind–wave energy input, skewness and asymmetry. Geophys. Res. Lett. 332, L12603, doi:10.1029/2005GL022701.Google Scholar
Alber, I. E. 1978 The effects of randomness on the stability of two-dimensional wavetrains. Proc. R. Soc. Lond. A363, 525546.Google Scholar
Babanin, A. V., Banner, M. L., Young, I. R. & Donelan, M. A. 2007 a Wave follower measurements of the wind input spectral function. Part 3. Parameterization of the wind input enhancement due to wave breaking. J. Phys. Oceanogr. 37, 27642775.CrossRefGoogle Scholar
Babanin, A. V., Chalikov, D., Young, I. R. & Savelyev, I. 2007 b Predicting the breaking onset of surface water waves. Geophys. Res. Lett. 34, L07605, doi:10.1029/2006GL029135.CrossRefGoogle Scholar
Babanin, A. V. & Soloviev, Y. P. 1987 Parametrization of the width of angular-distribution of the wind wave energy at limited fetches. Izvestiya Akademii Nauk SSSR Fizika Atmosfery: Okeana 23, 868876.Google Scholar
Babanin, A. V. & Soloviev, Y. P. 1998 a Variability of directional spectra of wind-generated waves, studied by means of wave staff arrays.Mar. Freshwater Res. 49, 89101.CrossRefGoogle Scholar
Babanin, A. V. & Soloviev, Y. P. 1998 b Field investigation of transformation of the wind wave frequency spectrum with fetch and the stage of development. J. Phys. Oceanogr. 28, 563576.2.0.CO;2>CrossRefGoogle Scholar
Babanin, A. V. & Young, I. R. 2005 Two-phase behaviour of the spectral dissipation of wind waves. In Proceedings of the Ocean Waves Measurements and Analysis, Fifth Intl Symp. WAVES2005, 3–7 July, 2005, Madrid, Spain (ed Edge, B. & Santas, J. C.), paper 51, 11p.Google Scholar
Babanin, A. V., Young, I. R. & Banner, M. L. 2001 Breaking probabilities for dominant surface waves on water of finite constant depth. J. Geophys. Res. C106, 1165911676.CrossRefGoogle Scholar
Benjamin, T. B. & Feir, J. E. 1967 The disintegration of wave trains in deep water. Part 1. Theory. J. Fluid Mech. 27, 417430.CrossRefGoogle Scholar
Brown, M. G. & Jensen, A. 2001 Experiments in focusing unidirectional water waves. J. Geophys. Res. C106, 1691716928.CrossRefGoogle Scholar
Caulliez, G. 2002 Self-similarity of near-breaking short gravity wind waves. Phys. Fluids 14, 29172920.CrossRefGoogle Scholar
Chalikov, D. 2005 Statistical properties of nonlinear one-dimensional wave fields. Nonlinear Process. Geophys. 12, 119.CrossRefGoogle Scholar
Chalikov, D. 2007 Simulation of Benjamin–Feir instability and its consequences. Phys. Fluids 19, 016602–15.CrossRefGoogle Scholar
Chalikov, D. & Sheinin, D. 1998 Direct modelling of one-dimensional nonlinear potential waves. In Nonlinear Ocean Waves (ed Perrie, W.), Advances in Fluid Mechanics, vol. 17, pp. 207258. WIT Press.Google Scholar
Chalikov, D. & Sheinin, D. 2005 Modelling extreme waves based on equations of potential flow with a free surface. J. Comput. Phys. 210, 247273.CrossRefGoogle Scholar
Craig, W. & Sulem, C. 1993 Numerical simulation of gravity waves. J. Comput. Phys. 108, 7383.CrossRefGoogle Scholar
Crapper, G. D. 1957 An exact solution for progressive capillary waves of arbitrary amplitude. J. Fluid Mech. 96, 417445.Google Scholar
Dold, J. W. 1992 An efficient surface-integral algorithm applied to unsteady gravity waves. J. Comput. Phys. 103, 90115.CrossRefGoogle Scholar
Dold, J. W. & Peregrine, D. H. 1986 Water-wave modulation. In Proceedings of the Twentieth Intl Conf. on Coastal Engineering, Taipei, Taiwan, pp. 163175. ASCE.Google Scholar
Donelan, M. A., Babanin, A. V., Young, I. R. & Banner, M. L. 2006 Wave follower measurements of the wind input spectral function. Part 2. Parameterization of the wind input. J. Phys. Oceanogr. 36, 16721688.CrossRefGoogle Scholar
Donelan, M. A., Longuet-Higgins, M. S. & Turner, J. S. 1972 Whitecaps. Nature 36, 1721688.Google Scholar
Gemmrich, J. R. & Farmer, D. M. 2004 Near-surface turbulence in the presence of breaking waves. J. Phys. Oceanogr. 34, 10671086.2.0.CO;2>CrossRefGoogle Scholar
Janssen, P. A. E. M. 2003 Nonlinear four-wave interaction and freak waves. J. Phys. Oceanogr. 33, 863884.2.0.CO;2>CrossRefGoogle Scholar
Liu, P. C. & Babanin, A. V. 2004 Using wavelet spectrum analysis to resolve breaking events in the wind wave time series. Ann. Geophys. 22, 33353345.CrossRefGoogle Scholar
Longuet-Higgins, M. S. & Cokelet, E. D. 1976 The deformation of steep surface waves on water. I. A numerical method of computation. Proc. R. Soc. Lond. A350, 126.Google Scholar
Longuet-Higgins, M. S. & Cokelet, E. D. 1978 The deformation of steep surface waves on water. II. Growth of normal-mode instabilities. Proc. R. Soc. Lond. A364, 128.Google Scholar
Longuet-Higgins, M. S. & Dommermuth, D. G. 1997 Crest instabilities of gravity waves. Part 3. Nonlinear development and breaking. J. Fluid Mech. 336, 3350.CrossRefGoogle Scholar
Longuet-Higgins, M. S. & Fox, M. G. H. 1977 Theory of the almost highest wave: the inner solution. J. Fluid Mech. 80, 721741.CrossRefGoogle Scholar
Manasseh, R., Babanin, A. V., Forbes, C., Rickards, K., Bobevski, I. & Ooi, A. 2006 Passive acoustic determination of wave-breaking events and their severity across the spectrum. J. Atmos. Ocean. Technol. 23, 599618.CrossRefGoogle Scholar
Melville, W. K. 1982 Instability and breaking of deep-water waves. J. Fluid Mech. 115, 165185.CrossRefGoogle Scholar
Melville, W. K. & Matusov, P. 2002 Distribution of breaking waves at the ocean surface. Nature 417, 5863.CrossRefGoogle ScholarPubMed
Meza, E., Zhang, J. & Seymour, R. J. 2000 Free-wave energy dissipation in experimental breaking waves. J. Phys. Oceanogr. 30, 24042418.2.0.CO;2>CrossRefGoogle Scholar
Onorato, M., Cavaleri, L., Fouques, S., Gramstad, O., Janssen, P. A. E. M., Monbaliu, J., Osborne, A. R., Pakozdi, C., Serio, M., Stansberg, C. T., Toffoli, A., & Trulsen, K. 2009 Statistical properties of mechanically generated surface gravity waves: a laboratory experiment in a three-dimensional wave basin. J. Fluid Mech. 637, 235257.CrossRefGoogle Scholar
Onorato, M., Osborne, A. R. & Serio, M. 2002 Extreme wave events in directional, random oceanic sea states. Phys. Fluids 14, 2528.CrossRefGoogle Scholar
Onorato, M., Osborne, A. R., Serio, M. & Bertone, S. 2001 Freak wave in random oceanic sea states. Phys. Rev. Lett. 86, 58315834.CrossRefGoogle ScholarPubMed
Rapp, R. J. & Melville, W. K. 1990 Laboratory measurements of deep-water breaking waves. Phil. Trans. R. Soc. Lond. A311, 735800.Google Scholar
Tulin, M. P. & Waseda, T. 1999 Laboratory observations of wave group evolution, including breaking effects. J. Fluid Mech. 378, 197232.CrossRefGoogle Scholar
Waseda, T., Kinoshita, T. & Tamura, H. 2009 Evolution of a random directional wave and freak wave occurrence. J. Phys. Oceanogr. 39, 621639.CrossRefGoogle Scholar
Waseda, T. & Tulin, M. P. 1999 Experimental study of the stability of deep-water wave trains including breaking effects. J. Fluid Mech. 401, 5584.CrossRefGoogle Scholar
Watson, K. M. & West, B. J. 1975 A transport-equation description of nonlinear ocean surface wave interactions. J. Fluid Mech. 70, 815826.CrossRefGoogle Scholar
West, B. J., Brueckner, K. A. & Janda, R. S. 1987 A new numerical method for surface hydrodynamics. J. Geophys. Res. C92, 1180311824.CrossRefGoogle Scholar
Young, I. R. & Babanin, A. V. 2006 Spectral distribution of energy dissipation of wind-generated waves due to dominant wave breaking. J. Phys. Oceanogr. 36, 376394.CrossRefGoogle Scholar