Wang, J., Zhang, J. & Yang, J. Numerical simulation and preliminary analysis on ocean waves during Typhoon Nesat in South China Sea and adjacent areas., Chin. J. Ocean. Limnol. 32, 665–680 (2014). https://doi.org/10.1007/s00343-014-3042-5
DOI:
Wang, J., Zhang, J. & Yang, J. Numerical simulation and preliminary analysis on ocean waves during Typhoon Nesat in South China Sea and adjacent areas., Chin. J. Ocean. Limnol. 32, 665–680 (2014). https://doi.org/10.1007/s00343-014-3042-5DOI:
Numerical simulation and preliminary analysis on ocean waves during Typhoon Nesat in South China Sea and adjacent areas
摘要
Abstract
Using the wave model WAVEWATCH III (WW3)
we simulated the generation and propagation of typhoon waves in the South China Sea and adjacent areas during the passage of typhoon Nesat (2011). In the domain 100°–145°E and 0°–35°N
the model was forced by the cross-calibrated multi-platform (CCMP) wind fields of September 15 to October 5
2011. We then validated the simulation results against wave radar data observed from an oil platform and altimeter data from the Jason-2 satellite. The simulated waves were characterized by five points along track using the Spectrum Integration Method (SIM) and the Spectrum Partitioning Method (SPM)
by which wind sea and swell components of the 1D and 2D wave spectra are separated. There was reasonable agreement between the model results and observations
although the WW3 wave model may underestimate swell wave height. Significant wave heights are large along the typhoon track and are noticeably greater on the right of the track than on the left. Swells from the east are largely unable to enter the South China Sea because of the obstruction due to the Philippine Islands. During the initial stage and later period of the typhoon
swells at the five points were generated by the propagation of waves that were created by typhoons Haitang and Nalgae. Of the two methods
the 2D SPM method is more accurate than the 1D SIM which overestimates the separation frequency under low winds
but the SIM method is more convenient because it does not require wind speed and wave direction. When the typhoon left the area
the wind sea fractions decreased rapidly. Under similar wind conditions
the points located in the South China Sea are affected less than those points situated in the open sea because of the influence of the complex internal topography of the South China Sea. The results reveal the characteristic wind sea and swell features of the South China Sea and adjacent areas in response to typhoon Nesat
and provide a reference for swell forecasting and offshore structural designs.
关键词
Keywords
references
Atlas R, Hoffman R A, Ardizzone J et al. 2011. A crosscalibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bulletin of American Meteorological Society, 92: 157–174.
Chao Y Y, Alves J-H G M, Tolman H L. 2005. An operational system for predicting hurricane-generated wind waves in North Atlantic Ocean. Weather and Forecasting, 20: 652–671.
Chu P C, Cheng K F. 2008. South China Sea wave characteristics during typhoon Muifa passage in winter 2004. Journal of Oceanography, 64: 1–21.
Chu P C, Qi Y Q, Chen Y C et al. 2004. South China Sea windwave characteristics. Part I: validation of WAVEWATCH III using TOPEX/Poseidon data. Journal of Atmospheric and Oceanic Technology, 21: 1 718–1 733.
Earle M D. 1984. Development of algorithms of wind sea and swell. National Data Buoy Center Tech. Rep. MEC-87-1. 53p.
Feng X B, Zheng J H, Yan Y X. 2012. Wave spectra assimilation in typhoon wave modeling for East China Sea. Coastal Engineering, 69: 29–41.
Gerling T W. 1992. Partitioning sequences and arrays of directional wave spectra into component wave systems, Journal of Atmospheric and Oceanic Technology, 9: 444–558.
Guo Y Y, Hou Y J, Zhang C M, Yang J. 2012. A background error covariance model of significant wave height employing Monte Carlo simulation. Chinese Journal of Oceanology and Limnology, 30(5): 814–821.
Hanson J L, Phillips O M. 2001. Automated analysis of ocean surface directional wave spectra. Journal of Atmospheric and Oceanic Technology, 18: 277–293.
Hanson J L, Tracy B A, Tolman H L et al. 2009. Pacific hindcast of three numerical wave models. Journal of Atmospheric and Oceanic Technology, 26: 1 614–1 633.
Holthuijsen L H. 2007. Waves in Oceanic and Coastal Waters. Cambridge University Press, ISBN 0-521-86028-8. 387p.
Hwang P A. 2012. Wind sea and swell separation of 1D wave spectrum by a spectrum integration method. Journal of Atmospheric and Oceanic Technology, 29: 116–128.
Kumar B P, Stone G W. 2007. Numerical simulation of typhoon wind forcing in Korean seas using a spectral wave model. Journal of Coastal Research, 23(2): 362–373.
Moon I, Ginis I, Hara T et al. 2003. Numerical simulation of sea surface directional wave spectra under hurricane wind forcing. Journal of Physical Oceanography, 33: 1 680–1 706.
Portilla J F, Ocampo-Torres F J, Monbaliu J. 2009. Spectral partitioning and identification of wind sea and swell. Journal of Fluid Mechanical, 156: 505–531.
Tolman H L, Alves J-H G M, Chao Y Y. 2005. Operational forecasting of wind-generated waves by hurricane Isabel at NCEP. Weather Forecast, 20: 544–557.
Tolman H L. 2009. User manual and system documentation of WAVEWATCH III version 3.14. Tech. Note 276, NOAA/NWS/NCEP/MMAB. 194p.
Tracy B, Devaliere E, Hanson J et al. 2007. Wind sea and swell delineation for numerical wave modeling. 10th International Workshop on Wave Hindcasting and Forecasting Coastal Hazard Symposium. p.12.
Voorrips A C, Makin V K, Hasselmann S. 1997. Assimilation of wave spectra from pitch-and-roll buoys in a North Sea wave model. Journal of Geophysical Research, 102: 5 829–5 849.
Wang D W, Hwang P A. 2001. An operational method for separating wind sea and swell from ocean wave spectra. Journal of Atmospheric and Oceanic Technology, 18: 2 052–2 062.
Xu F M, Perrie W, Zhang J L et al. 2005. Simulation of typhoon-driven waves in Yangtze waves in Yangtze Estuary with multiple-nested wave models. China Ocean Engineering, 19(4): 613–624.
Zhao W, Guan S D, Hong X et al. 2011. Examination of windwave interaction source term in WAVEWATCH III with tropical cyclone wind forcing. Acta Oceanologica Sinica, 30(4): 1–13.
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