台湾海峡海浪数值模拟和特征分析 |
作者:郑祥靖1 李雪丁1 徐啸2 曾银东1 陈金瑞1 |
单位:1. 福建省海洋预报台, 福建 福州 350003; 2. 河海大学港口海岸与近海工程学院, 江苏 南京 210098 |
关键词:台湾海峡 WW3模式 海浪 |
分类号:P731.22 |
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出版年·卷·期(页码):2021·38·第五期(31-39) |
摘要:
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利用第三代海浪数值模式WW3建立台湾海峡海浪数值计算模式,并以CCMP风场和台风经验模型的融合风场作为驱动,经浮标观测资料充分验证后,计算得到2014—2018年台湾海峡再分析海浪场。结果表明:台湾海峡受狭管效应影响显著,海浪具有明显的季节变化,冬季海浪比夏季强盛,海峡中北部整体大于南部。由于台湾岛的遮蔽作用,海峡内涌浪占比小,海峡内灾害性海浪出现频率高,年平均天数为38.4 d,波浪能资源储量丰富。 |
Based on the third-generation ocean wave numerical model WAVEWATCH Ⅲ, a wave model for the Taiwan Strait is established. Driven by the blended wind field of the Cross-Calibrated Multi-Platform and typhoon empirical model, and verified by the buoy observation data, the reanalysis wave fields in the Taiwan Strait from 2014 to 2018 is calculated in this paper. The results show that the Taiwan Strait is significantly affected by the narrow-tube effect, and the wave is characterized by significant seasonal variation with stronger wave in winter compared to that in summer. Moreover, the wave in the central and northern part of the Taiwan Strait is larger than that in the southern part. Due to the shielding effect of the Taiwan Island, the proportion of swell in the Strait is small. The frequency of disastrous waves in the Taiwan Strait is high with an annual average of 38.4 days, and there are abundant wave energy resources in the Strait. |
参考文献:
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[1] 刘金芳, 刘忠, 顾翼炎, 等. 台湾海峡水文要素特征分析[J]. 海洋预报, 2002, 19(3):22-32. [2] 许富祥. 台湾海峡及其邻近海域灾害性海浪的时空分布[J]. 东海海洋, 1998, 16(3):14-17. [3] 陈德文, 李雪丁. 台湾海峡及邻近海域冷空气过程风-浪关系的观测分析[J]. 海洋预报, 2018, 35(2):44-52. [4] 郑崇伟, 林刚, 邵龙潭. 台湾周边海域波浪能资源研究[J]. 自然资源学报, 2013, 28(7):1179-1186. [5] 周媛媛, 周林, 关皓. 西北太平洋三台风影响下海浪的数值模拟研究[J]. 海洋预报, 2016, 33(5):23-30. [6] Pan X S, Wang H C, Luo F. Numerical simulation of typhoongenerated waves with Wavewatch Ⅲ model[J]. Journal of Water Resources, 2018, 2(1):13-15. [7] 周科. 西北太平洋风浪数值模拟和统计分析[D]. 上海:上海交通大学, 2009. [8] 郑崇伟. 基于CCMP风场的近22年中国海海表风场特征分析[J]. 气象与减灾研究, 2011, 34(3):41-46. [9] 詹思玙, 齐琳琳, 卢伟. 基于CCMP资料和现场观测资料的西北太平洋海面风场特征分析[J]. 海洋预报, 2017, 34(2):10-20. [10] 唐艳平, 林祥. 福建沿海台风浪数值模拟及特性分析[J]. 水运工程, 2017(4):53-59, 93. [11] 旷芳芳, 张友权, 张俊鹏, 等. 3种海面风场资料在台湾海峡的比较和评估[J]. 海洋学报, 2015, 37(5):44-53. [12] 韩玉康, 周林, 赵艳玲, 等. 3种海面风场资料在吕宋海峡的比较与评估[J]. 海洋预报, 2019, 36(6):44-52. [13] Hu K L, Chen Q, Kimball S K. Consistency in hurricane surface wind forecasting:an improved parametric models[J]. Natural Hazards, 2012, 61(3):1029-1050. [14] Carr III L E, Elsberry R L. Models of tropical cyclone wind distribution and Beta-effect propagation for application to tropical cyclone track forecasting[J]. Monthly Weather Review, 1997, 125(12):3190-3209. [15] Hanson J L, Phillips O M. Automated analysis of ocean surface directional wave spectra[J]. Journal of Atmospheric and Oceanic Technology, 2001, 18(2):277-293. [16] Taylor K E. Summarizing multiple aspects of model performance in a single diagram[J]. Journal of Geophysical Research:Atmospheres, 2001, 106(D7):7183-7192. [17] 陈剑桥. 2008年冬季台湾海峡及其邻近海域QuikSCAT卫星遥感风场的检验及应用分析[J]. 台湾海峡, 2011, 30(2):158-164. [18] 褚同金. 海洋能资源开发利用[M]. 北京:化学工业出版社, 2004. |
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