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引用本文:王 彬,李 峣,袁东亮.西南黄海M2分潮的数值模拟.海洋与湖沼,2013,44(6):1479-1485.
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西南黄海M2分潮的数值模拟
王 彬,李 峣,袁东亮
1.中国科学院海洋研究所,中国科学院海洋研究所海洋环流与波动重点实验室,中国科学院大学;2.中国科学院海洋研究所,中国科学院海洋研究所海洋环流与波动重点实验室
摘要:
本文采用普林斯顿大学海洋模式(POM)结合中国海军司令部发布的海图地形资料, 对西南黄海M2分潮进行了三维数值模拟。利用近岸4个验潮站水位资料和一组2008年夏季鲁南海槽中30m水深处潜标测流资料, 对模拟的潮汐和潮流结果进行了对比。模式模拟的M2分潮振幅与青岛、石臼所和吕泗这三个验潮站的实测资料符合良好; 但与连云港验潮站的实测振幅相比, 模拟振幅明显偏小, 推断主要原因是连云港港口实际水深值与海图地形中的水深值相差较大, 造成模拟结果的偏差。模拟的潮流结果与潜标测流资料在上层和中层较接近, 模拟的近底层潮流结构与实测资料相比存在较大偏差, 推断是由于模式的垂直混合系数误差造成的。使用该模式研究了西南黄海M2分潮对模式地形的敏感性, 发现采用海图地形数据和ETOPO5地形数据所模拟的西南黄海潮汐和潮流有显著不同。使用较平滑的ETOPO5地形数据所模拟的结果中, 西南黄海近岸海区M2分潮振幅偏小、相位偏大、潮流偏弱。研究表明, 鲁南海槽的存在增大了海州湾的潮汐振幅, 苏北浅滩对向南传播的潮波起到了阻挡作用。以上两个西南黄海近岸海区地形的重要特征在ETOPO5地形数据中没有被体现出来, 因此造成模拟误差。
关键词:  西南黄海  M2分潮  M2分潮流  混合系数  地形效应
DOI:10.11693/hyhz201306010
分类号:
基金项目:国家重大研究计划, 2012CB956000 号; 国家自然科学基金面上项目, 40888001 号, 41176019 号; 公益性行业(气象)科研专项经费项目, GYHY201306018 号; 中国科学院战略性先导科技专项(A类), XDA11010301号; 国家海洋局海洋环境信息保障技术重点实验室开放课题, MEIT-U1104 号。
附件
NUMERICAL MODELING OF M2TIDE IN THE SOUTHWESTERN YELLOW SEA
WANG Bin1,2,3, LI Yao1,2,3, YUAN Dong-Liang1,2
1.Institute of Oceanology, Chinese Academy of Sciences;2.Key Laboratory of Ocean Circulation and Waves, Chinese Academy of Sciences;3.Graduate University of Chinese Academy of Sciences
Abstract:
We modeled the M2tide over the southwestern Yellow Sea using the Princeton Ocean Model (POM) and topography data from Chinese navy. The simulated sea-level harmonics agree well with the tide-gauge sea-level harmonics at Qingdao, Shijiusuo, and Lvsi. However, the simulated tidal range at Lianyungang is much smaller than that of the tide-gauge data due to the inaccuracy of topography in vicinity. The simulated tidal currents agree well with currentmeter measurements in the upper and middle layers at a mooring site in the middle of the Lunan Trough. However, the amplitude of the simulated tidal current near the bottom of the ocean is smaller than the observed. The error is found associated with erroneous vertical mixing coefficients calculated based on the turbulent closure scheme in the POM model. Our modeling shows that the simulated M2tide in the southwestern Yellow Sea is sensitive to topography data used in the model. The simulation using the ETOPO5 elevation data produced significantly different results from the one using the topography data from local navigational chart. Smoother ETOPO5 elevation data resulted in smaller sea-level amplitudes, phase leads, and weaker currents along the coast of the southwestern Yellow Sea. The Lunan Trough plays a role in increasing the amplitude of the M2tide in the southwestern Yellow Sea whereas the Subei Bank acts as a barrier to the southward propagating tidal waves. Omission of the Lunan Trough and the Subei Bank in the smoother ETOPO5 elevation data led to the inaccurate modeling results along the coast.
Key words:  the southwestern Yellow Sea  M2tide  M2tidal current  vertical mixing coefficients  topography effect
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