Journal of Marine Science and Technology

Journal of Marine Science and Technology

Determination of wind-induced wave characteristics by numerical model WaveWatch-III and compare its results with Mike21- SW

Document Type : Original Manuscript

Authors
Faculty of Civil Engineering, Babol Noshirvani University of Technology, Mazandaran, IRAN
Abstract
Wind-induced waves due to their high energy are one of the most important hydrodynamic phenomena in the sea, which are of particular importance in marine engineering. Considering the importance of prediction of wind-induced waveforms, in this study, the efficiency of the third-wave waveguide model in wave prediction (WaveWatch-III) has been investigated and the results of this model have been compared with the wave height obtained from the SW module software MIKE Is. In other words, in this paper, the prediction of wave characteristics is provided by the WW3 and SW models. To better compare the results of these two models, the environment and wind speed are considered to be the same. The results show that the WW3 conforms well to the results of the SW model, which will decrease with increasing water depth and distance from the coast, so that in deep water (approximate depth of water 500 m) and at intervals Offshore (50 km off the coast), the SW model provides more and more conservative data for wave characteristics. Also, the results of this study showed that the WW3 model would take more time to reach a steady state.
Keywords

Subjects


Bauer, E., Hasselmann, S., Hasselmann, K. and Graber, H.C., 1992. Validation and assimilation of Seasat altimeter wave heights using the WAM wave model. Journal of Geophysical Research: Oceans, 97(C8), pp.12671-12682.
Booij, N., Haagsma, I.J.G., Holthuijsen, L.H., Kieftenburg, A.T.M.M., Ris, R.C., Van Der Westhuysen, A.J. and Zijlema, M., 2004. SWAN cycle III version 40.41 user manual. Delft University of Technology, 115.
Cavaleri, L., 1994. Wave models and input wind. Wave Dynamics and Modelling of Ocean Waves, pp.259-378.
Chalikov, D., 1995. The parameterization of the wave boundary layer. Journal of Physical Oceanography, 25(6), pp.1333-1349.
Chalikov, D.V. and Belevich, M.Y., 1993. One-dimensional theory of the wave boundary layer. Boundary-Layer Meteorology, 63(1-2), pp.65-96.
Dezvareh, R., Bargi, K. and Moradi, Y., 2012. Assessment of Wave Diffraction behind the Breakwater Using Mild Slope and Boussinesq Theories. Analysis, 5(300), pp.1-5.
Gelci, R., H. Cazalé, J. Vassal (1957) Sea state forecasting. The spectral method (In French), Bulletin d'information du Comité d'Océanographie et d'Etude des Côtes, Vol. 9 (1957), pp. 416-435.
Group, T.W., 1988. The WAM model—A third generation ocean wave prediction model. Journal of Physical Oceanography, 18(12), pp.1775-1810.
Jafarian, F., Mohebolhojat, A., 1384. The feasibility of short-wave forecasting in the Caspian Sea with the WAM numerical model. Journal of the Earth and Space Physics (JESP), 31(2), pp. 103-131.
Lee, H.S., 2015. Evaluation of WAVEWATCH III performance with wind input and dissipation source terms using wave buoy measurements for October 2006 along the east Korean coast in the East Sea. Ocean Engineering, 100, pp.67-82.
MIKE21 Spectral Wave Module, User guide, DHI software, 2003.
Hasselmann, S. and Hasselmann, K., 1985. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave spectrum. Part I: A new method for efficient computations of the exact nonlinear transfer integral. Journal of Physical Oceanography, 15(11), pp.1369-1377.
Hasselmann, S., Hasselmann, K., Allender, J.H. and Barnett, T.P., 1985. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave specturm. Part II: Parameterizations of the nonlinear energy transfer for application in wave models. Journal of Physical Oceanography, 15(11), pp.1378-1391.
Rezaie Mazyak, A., Sanayei, M., (2017). Pattern of Wave Height Changes Around of Pontoon's Floating Breakwater. Journal of Marine Science and Technology,16(1): 29-45. doi: 10.22113/jmst.2017.50586
Robert Montagne, The swell forecasting service in Morocco (In French), 1922, Annales Hydrographiques, pp. 157-186.
Saeedi, D., Zamani AR., Sedaghat, A., 1393. Short-term prediction of wave characteristics in the Oman Sea, the Persian Gulf and part of the Indian Ocean using the numerical model of Iran’s waters. ICOPMAS.
Tolman, H.L., 2009. User manual and system documentation of WAVEWATCH III TM version 3.14. Technical note, MMAB Contribution, 276, p.220.
Wittmann, P.A. and Clancy, M., 2004, June. Thirty years of operational ocean wave forecasting at Fleet Numerical Meteorology and Oceanography Center. In Symposium on the 50th Anniversary of Operational Numerical Weather Prediction.
Zareii, V. (2017). 'Investigating the Hydrodynamic Status of Mahshahr Export Port by Using MIKE21 Software', Journal of Marine Science and Technology, (), pp. -. doi: 10.22113/jmst.2017.44305.
Zieger, S., Babanin, A.V., Rogers, W.E. and Young, I.R., 2015. Observation-based source terms in the third-generation wave model WAVEWATCH. Ocean Modelling, 96, pp.2-25.

  • Receive Date 29 July 2018
  • Revise Date 04 May 2019
  • Accept Date 12 May 2019
  • Publish Date 23 August 2019