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文章编号： 1672-6987（2024）06-0125-10； DOI： 10.16351/j.1672-6987.2024.06.016
聂玉玲a,b， 徐俊丽a,b,c*， 朱善良a,b,c（青岛科技大学a. 数理学院; b. 数学与交叉科学研究院; c. 青岛市人工智能海洋技术创新中心， 山东 青岛 266061)
摘要： 风应力拖曳系数是风暴潮模型中的重要参数之一。本工作基于二维的风暴潮数值模型和伴随同化模型，利用数据同化方法反演出了空间分布形式的风应力拖曳系数。研究了空间分布形式的风应力拖曳系数和三种经验公式的风应力拖曳系数对渤、黄、东海海域内7303号台风发生期间的风暴潮水位的影响。结果表明，与风应力拖曳系数经验公式计算的风暴潮水位相比，利用空间分布形式的风应力拖曳系数计算的风暴潮水位更接近观测水位，这说明数据同化方法可以有效提高风暴潮水位的模拟精度。进一步地，讨论了数据同化过程中天文潮对风暴潮水位的影响。结果显示，当考虑M2分潮后，基于数据同化方法计算的风暴潮水位最接近观测水位。因此，在风暴潮的模拟过程中应当考虑天文潮的影响。
关键词： 风暴潮； 天文潮； 风应力拖曳系数； 数值模拟； 数据同化方法
中图分类号： P 732.2文献标志码： A
引用格式： 聂玉玲， 徐俊丽， 朱善良. 基于数据同化方法的风暴潮数值模型［J］. 青岛科技大学学报(自然科学版), 2024, 45(6): 125-134.
NIE Yuling， XU Junli, ZHU Shanliang. Numerical model of storm surge based on the data assimilation method［J］. Journal of Qingdao University of Science and Technology（Natural Science Edition), 2024， 45（6）： 125-134.
Numerical Model of Storm Surge Based on the Data Assimilation MethodNIE Yulinga,b， XU Junlia,b,c, ZHU Shanlianga,b,c
(a. College of Mathematics and Physics; b. Research Institute for Mathematics and Interdisciplinary Sciences;
c. Qingdao Innovation Center of Artificial Intelligence Ocean Technology, Qingdao 266061, China)
Abstract: The wind stress drag coefficient is a vital parameter in the storm surge model. Based on the two-dimensional numerical storm surge model and the adjoint assimilation model, the wind stress drag coefficient with spatial distribution characteristics is inverted by data assimilation methods. Subsequently, we investigate the effects of spatially distributed wind stress drag coefficients and wind stress drag coefficients obtained from three empirical formulations on the storm surge levels during the Typhoon 7303 in the Bohai Sea, Yellow Sea, and East China Sea, respectively. The result shows that the storm surge levels calculated by the spatially distributed wind stress drag coefficients are closer to the observed levels than those simulated by the wind stress drag coefficients obtained from the empirical formulas. It indicates that the data assimilation method can effectively improve the simulation accuracy of the storm surge levels. Further, we investigate the influence of astronomical tides on storm surge levels using data assimilation method. When the M2 tide is considered, the calculated storm surge level is the closest to the observation. Therefore, the influence of astronomical tides should be considered when simulating storm surge level.
Key words: storm surge; astronomical tide; wind drag coefficient; numerical simulation; data assimilation method
收稿日期： 2023-11-25
基金项目： 国家自然科学基金项目（41606006）；山东省研究生教育质量提升计划项目（12030229090262）.
作者简介： 聂玉玲(1998—)，女，硕士研究生.*通信联系人.
