The DNS Model: An Improved Spectral Model for Ocean Wave Prediction
Any attempt to model the frequency-and direction-dependent ocean wave spectrum F(f, θ)is a formidable task. The only more or less unified theory (Hasselmann, 1967) has not been reduced to a practical form. The approach taken in this study is to combine individual, existing theories to produce results that are compatible with our present understanding of the evolving wind wave spectrum. In this chapter we discuss a discrete spectral model that uses an adaptation of the method of characteristics to propagate energy. The numerical method was discussed originally by Barnett et al. (1969).
KeywordsWave Spectrum Wind Wave Spectral Model Wave Component Wave Growth
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- Barnett, T. P., and J. C. Wilkerson (1967): On the generation of wind waves as inferred from airborne measurements of fetch-limited spectra. J. Mar. Res. 25, 292–328.Google Scholar
- Barnett, T. P., C. H. Holland, and P. Yager (1969): A general technique for wind wave prediction with application to the South China Sea. Final report, contract N62306-68-C0285, U.S. Naval Oceanographic Office, Washington, D.C.Google Scholar
- Hasselmann, K. (1967): Nonlinear interactions treated by the methods of theoretical physics (with application to the generation of waves by wind). Proc. R. Soc. London Ser. A 229, 77-100.Google Scholar
- Hasselmann, K, and S. Hasselmann (1981): A symmetrical method of computing the nonlinear transfer in a gravity wave spectrum. Internal Report, Max Planck Institute of Meteorology, Hamburg.Google Scholar
- Hasselmann, K, T P. Barnett, E. Bouws, H. Carlson, D. E. Cartwright, K. Enke, J. A. Ewing, H. Gienapp, D. E. Hasselmann, P. Kruseman A Meerburg, P. Müller, D. J. Olbers, K. Richter, W. Sell, and H. Walden (1973): Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP). Dtsch. Hydrogr. Z., Suppl. A 8 (12).Google Scholar
- Preisendorfer, R., F. Zevlers, and T. P. Barnett (1981): Foundations of principal components selection rules. Scripps Institution of Oceanography, Reference Series, 81–4.Google Scholar