Abstract
In the early stages of wave growth it is seen that wave heights are underestimated by presently available models especially in a low wind regime. Parametric wind-sea relationships of significant wave height (H2) and zero-crossing period (T 2) for slight to moderate sea-states were proposed earlier on an analysis of wind and wave data. This model is based on the concept of time delay between the wind speed (U) and wave evolution process. It is simple and requires less computational effort compared to the spectral method. The present paper attempts to test and evaluate the performance of the proposed model with additional field data of wind and waves measured off the Indian coast. MeasuredU,H 2, andT 2 ranged between 1 and 15 m/s, 0·5 and 2·7 m and 4 and 10 s respectively. By and large, the comparison between model output and field observations are encouraging. A hindcast study was carried out earlier using a spectral wave prediction model (TOHOKU) for Indian Seas using field measurements which include the data sets utilized in this study. Comparison between these two models reveals a good agreement.
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References
Bendat J S and Piersol A G 1971Random data — analysis and measurement processes (New York: John Wiley) pp 304
Bretschneider C L 1970 Forecasting relations for wave generations;Look Lab/Hawaii, University of Hawaii, USA 1 31–34
Bretschneider C L 1973 Prediction of waves and currents;Look Lab/Hawaii, University of Hawaii, USA 3 No. 1
Carter D J T 1982 Prediction of wave height and period for constant wind velocity using the JONSWAP results;J. Ocean Eng. 9 17–33
Darbyshire M and Draper L 1963 Forecasting of wind generated sea waves;Engineering 195 127–134
Draper L 1967 The analysis and presentation of wave data — A plea for uniformity;Proc. 10th Conf. on Coastal Engg., Tokyo, Japan 1 1–11
Douglas C, Montgomery and Lynwood A John 1976Forecasting time series analysis (McGraw-Hill, New York) pp 304
Khandekar M L 1989Operational analysis and prediction of ocean wind waves (New York, Springer Verlag) pp 214
Prasada Rao C V K and Swain J 1989 A parametric wave prediction model based on time delay concept;Mausam 40 381–388
Shore Protection Manual 1984 US Army Corps of Engineers. Washington DC
Suthones C T 1945 The forecasting of sea and swell waves. Naval Meteorological Branch, UK, Tech. Memo 135/45
Sverdrup H U and Munk W H 1947 Wind, Sea and Swell: Theory of relations for forecasting;US Navy Hydrogra. Office, Washington DC, Pub. No 601
Swain J and Prasada Rao C V K 1987 A single parametric representation for growing wind seas;Symposium on short-term variability of physical oceanographic features in the Indian waters, Naval Physical and Oceanographic Laboratory, Cochin, 201–204
Swain J and Ananth P N 1992a Wave hindcasting using a coupled hybrid wave prediction model in Indian Seas;J. Ocean Engg. (in press)
Swain J and Ananth P N 1992b Observed deep water wave characteristics off Indian Coasts;Indian J. Mar. Sci. (in press)
Swain J and Prasada Rao C V K 1989 A note on the observed surface wave characteristics off Madras to Andamans during May 1987;Departmental Res. Report. NPOL, No RR-4/89
Thompson W C, Nelson A R and Sedivy D G 1984 Wave group anatomy; Proc. 19th Coastal Engg. Conference, ASCE, 1 pp 661–677
The SWAMP Group 1985Ocean Wave Modelling (New York: Plenum) pp 256
Toba Y, Kawai S and Joseph P S 1985The TOHOKU Wave Model (The SWAMP Group, Ocean Wave Modelling) (New York: Plenum Press) pp 256
Toba Y, Kawai S, Okada K and Iida N 1985The TOHOKU-II Wave Model, The Ocean Surface, (eds.) Y Toba and Mitsuyasu (Dordrecht: D Reidel) pp 227–232
Tucker M J 1963 Analysis of records of sea waves;Proc. Inst. Civil Engg., London 26 305–316
WAMDI Group 1988 The WAM model-A third generation ocean wave prediction model;J. Phys. Oceanogr. 18 1775–1810
Wilson B W 1955 Graphical approach to the forecasting of waves in moving fetchs;Beach erosion board, US Army Corps of Engineers Tech. Memo. No 73, pp 31
Wilson B W 1983 Deep water generation by moving wind systems;Trans. Am. Soc. Civil. Eng. 128, Paper No. 3416
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Swain, J., Baba, M. Parametric wave prediction model based on time delay concept — An evaluation. Proc. Indian Acad. Sci. (Earth Planet Sci.) 101, 215–226 (1992). https://doi.org/10.1007/BF02878133
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DOI: https://doi.org/10.1007/BF02878133