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:: Volume 8, Issue 32 (winter 2018) ::
joc 2018, 8(32): 43-51 Back to browse issues page
Performance Evaluation of SWAN Model for Wind Wave Forecasting in the Persian Gulf (Case Study: Farur and Lavan Islands)
Hamid Taheri , Mohammad Hossein Kazeminezhad , Abbas Yeganeh Bakhtiary *
, yeganeh@iust.ac.ir.
Abstract:   (2188 Views)
Considering the importance of wind waves and its effects on the marine environment, prediction of these waves by different methods has been extremely thrived in recent years. In this study, the performance of numerical wave model, SWAN, has been evaluated to predict wind waves in the Persian Gulf, using different methods of generation and deterioration of wave. Three kinds of these methods using CCMP wind data has been applied in this study. For  ttainment the model error, the results has been compared with measured significant height, peak period and direction of waves in Farur and Lavan stations between 2009 and 2010. The result showed that WAM4-AB method, compared with other, had better performance. Error of this approach to modeling HS in Farur and Lavan stations was 44 and 48, respectively. Modeling of this method underestimated Hs and Tp comparing to the measured data.
Keywords: Modeling, CCMP Wind, SWAN, Measured wave data, Persian Gulf.
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References
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34. Miles, J.W., 1957. On the generation of surface waves by shear flows. Journal of Fluid Mechanics, 3(02): 185-204.#
35. Phillips, O.M., 1957. On the generation of waves by turbulent wind. Journal of Fluid Mechanics, 2(5): 417-445.#
36. Rogers, W.E.; Hwang, P.A.; Wang, D.W., 2003. Investigation of wave growth and decay in the SWAN model: three regional-scale applications. Journal of Physical Oceanography, 33(2): 366-389.#
37. Saket, A.; Etemad-Shahidi, A., 2012. Wave energy potential along the northern coasts of the Gulf of Oman, Iran. Renewable Energy, 40(1): 90-97.#
38. Tolman, H.L., 1997. User manual and system documentation of WAVEWATCH-III version 1.15. Technical Note.#
39. Whitman, G.B., 1974. Linear and nonlinear waves. Wiley, New York, 636P.#
40. Wu, J., 1982. Wind-stress coefficients over sea surface from breeze to hurricane. Journal of Geophysical Research: Oceans, 87(C12): 9704-9706.#
41. Yan, L., 1987. Improved wind input source term for third generation ocean wave modelling, Royal Netherlands Meteorological Inst., De Bilt, 24P.#
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Taheri H, Kazeminezhad M H, Yeganeh Bakhtiary A. Performance Evaluation of SWAN Model for Wind Wave Forecasting in the Persian Gulf (Case Study: Farur and Lavan Islands). joc. 2018; 8 (32) :43-51
URL: http://joc.inio.ac.ir/article-1-1220-en.html


Volume 8, Issue 32 (winter 2018) Back to browse issues page
نشریه علمی پژوهشی اقیانوس شناسی Journal of Oceanography
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