基于1987年9月到1988年8月期间南海北部的一个浮标资料, 首先分析了美国环境预报中心(NCEP)和国家大气研究中心(NCAR)联合推出的再分析风场在南海北部海域的适用性, 结果表明NCEP/NCAR再分析风场在一定程度上与浮标观测结果相一致。然后利用NCEP/NCAR再分析风场作为海浪模式输入场, 评估了WAVEWATCHⅢ(WW3)和SimulatingWavesNearshore(SWAN)这2个海浪模式在南海北部海域模拟海浪的能力, 结果表明在季风和季风转换期间, WW3模式和SWAN模式对有效波高的模拟能力几乎一致。在季风期间, WW3模式对平均波周期的模拟能力优于SWAN模式; 而在季风转换时期, SWAN模式模拟平均波周期的能力较好。此外, 还利用WW3模拟结果分析了南海北部海域海浪的空间分布特征, 分析结果表明有效波高受季风影响呈显著的季节变化, 平均波周期呈现相对显著的半年变化。
We study the applicability of the National Centers Environmental Prediction/University Corporation for Atmospheric Research ( NCEP/NCAR) reanalysis wind field using the buoy data including the wind speed, significant wave height and mean wave period from September 1987 to August 1988 in the northern South China Sea (SCS). To some extent, the NCEP/NCAR reanalysis wind speed is consistent with the buoy data in the northern SCS. Then we assess the simulations using wave models WAVEWATCH Ⅲ (WW3) and Simulating Waves Nearshore (SWAN) forced by the NCEP/NCAR reanalysis data. The results show that the simulations of the significant wave height (SWH) from the two models are almost the same during the monsoon and monsoon transition periods. The simulation of the mean wave period (MWP) from the WW3 is better than that from the SWAN during the monsoon period, while the results are just contrary during the monsoon transition period. The spatial characteristics from the WW3 simulation in the northern SCS are presented. The SWH affected by monsoon shows significant seasonal change in the northern SCS, while the MWP presents certain semi-annual variability.
[1] WAMDI GROUP. The WAM model: A third generation wind wave model [J]. Journal of Physical Oceanography, 1998, 18: 1775 - 1810.
[2] SWAMP GROUP. Ocean Wave Modeling [M]. New York: Plenum Press, 1985: 256.
[3] TOLMAN H L, BALASUBRAMANIYAN B, BURROUGHS L D, et al. Development and implementation of wind generated ocean surface wave models at NCEP [J]. Weather and Forecasting, 2002, 17(2): 311-333.
[4] TOLMAN H L. User manual and system documentation of WACEWATCH Ⅲ version 2. 22[R]. Washington, USA: NOAA/NWS/NCEP, 2002. 1-139.
[5] TOLMAN H L. Validation of a new global wave forecast system at NCEP [M]. Washington, USA: American Society of Civil Engineers, 1998, 777-786.
[6] WINGEART K M, REILLY W C, HERBERS T H C, et al. Validation of operational global wave prediction models with spectral buoy data[M]. Washington, USA: American Society of Civil Engineers, 2001, 590-599.
[7] RIS R C, HOLTHUIJSEN L H, BOOIJ N. A third generation wave model for coastal regions 2. verification [J]. Journal of Geophysical Research, 1999, 104(C4): 7667-7681.
[8] ROGERS W E, KAIHATU J M, HSU L, et al. Forecasting and hindcasting waves with the SWAN model in the Southern California Bight [J]. Coastal Engineering, 2007, 54: 1-15.
[9] CHU P C, LU S H, CHEN Y C. Temporal and spatial variabilities of South China Sea surface temperature anomaly [J]. Journal of Geophysical Research, 1997, 102(C9): 20937-20955.
[10] 齐义泉, 施平, 毛庆文. 南海海面风场和波浪场季节平均特征的卫星遥感分析 [C]// 第一届全国海事技术研讨会文集. 上海: 上海科技文献出版社, 2003: 63-69.
[11] CHU P C, QI Y Q, CHEN Y C, et al. South China Sea wind-wave characteristics: Part Ⅰ: Validation of WAVEWATCH Ⅲ using TOPEX/Poseidon data [J]. Journal of Atmospheric and Oceanic Technology, 2004, 21: 1718-1733.
[12] CHU P C, CHENG K F. South China Sea Wave characteristics during typhoon Muifa passage in winter 2004[J]. Journal of Oceanography, 2008, 64: 1-21.
[13] QI Y Q, ZHANG Z X, SHI P. Extreme wind, wave and current in deep water of South China Sea[J]. International Journal of Offshore and Polar Engineering, 2010, 20(1): 18-23.
[14] QU S H, LIAU J M, HSU T W, et al. Simulating typhoon waves by SWAN wave model in coastal waters of Taiwan [J]. Ocean Engineering, 2001, 29: 947-971.
[15] TOLMAN H L. The numerical model WAVEWATCH: A third generation model for the hindcasting of wind waves on tides in shelf seas [J]. Communication on Hydraulic and Geotechnical Engineering, Delhi University of Technology, 1989, 89(2): 1-72.
[16] HOLTHUIJSEN L H, TOLAMN H L. Effects of the Gulf stream on ocean waves [J]. Journal of Geophysical Research, 1991, 96(C7): 12, 755–12, 771.
[17] TOLMAN H L. Effects of numerics on the physics in a third-generation wind-wave model [J]. Journal of Physical Oceanography, 1992, 22: 1095-1111.
[18] BOOIJ N, HOLTHUIJSEN L H, RIS R C. The SWAN wave model for shallow water[C]. Orlando: Proceeding of 24th International Conference on Coastal Engineering, 1996. 668-676.
[19] BOOIJ N, RIS R C, HOLTHIJSEN L H. A third-generation wave model for coastal region. Part Ⅰ: model description and validation [J]. Journal of Geophysical Research, 1999, 104(C4): 7649-7666.
[20] BLACKADAR A K. The vertical distribution of wind and turbulent exchange in a neutral atmosphere [J]. Journal of Geophysical Research, 1962, 67(8): 3095-3102.
[21] PANOFSKY H A. Tower micrometeorogy[C]//HAUGHEB D A. Workshop on Micrometeorology. American Meteorology Society, 1973: 151-176.
[22] PENA A, GRYNING S E. Charnock’s roughness length model and non-dimensional wind profiles over the sea [J]. Boundary-layer Meteorology, 2008, 128(2): 191-203.
[23] CHARNOCK H. Wind stress over a water surface [J]. Quarterly Journal of the Royal Meteorological Society, 1955, 81: 639-640.
[24] 魏凤英. 现代气候统计诊断与预测技术 [M]. 北京: 气象出版社, 1999: 13-37.
[25] KALNAY E, KANAMITSU M, KUSTKER R, et al. The NCEP/ NCAR 40-year reanalysis project [J]. Bulletin of the American Meteorological Society, 1996, 77(3): 437-471.
[26] JOSEY S A, KENT E C, TAYLOR P K. Wind stress forcing of the ocean in the SOC climatology: comparisons with the NCEP-NCAR, ECMWF, UWM/COADS, and Hellerman and Rosenstein datasets [J]. Journal of Physical Oceanography, 2002, 32: 1993-2019.
[27] CAVALERI L, BERTOTTI L. The improvement of modelled wind and wave fields with increasing resolution [J]. Ocean Engineering, 2006, 33(5-6): 553-565.