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作 者:王旭 刘宗伟 甘忠良 姜莹 杨春梅 吕连港 WANG Xu;LIU Zongwei;GAN Zhongliang;JIANG Ying;YANG Chunmei;LÜLiangang(First Institute of Oceanography,MNR,Qingdao 266061,China;Key Laboratory of Marine Science and Numerical Modeling,MNR,Qingdao 266061,China;Shandong Key Laboratory of Marine Science and Numerical Modeling,Qingdao 266061,China;Laboratory for Regional Oceanography and Numerical Modeling,Laoshan Laboratory,Qingdao 266237,China;Chinese People’s Liberation Army 92859,Tianjin 300061,China)
机构地区:[1]自然资源部第一海洋研究所,山东青岛266061 [2]自然资源部海洋环境科学与数值模拟重点实验室,山东青岛266061 [3]山东省海洋海洋环境科学与数值模拟重点实验室,山东青岛266061 [4]崂山实验室区域海洋动力学与数值模拟功能实验室,山东青岛266237 [5]中国人民解放军92859部队,天津300061
出 处:《海洋科学进展》2024年第3期602-610,共9页Advances in Marine Science
基 金:国家自然科学基金项目(42206195)。
摘 要:针对传统的声速剖面重构方法往往不具备实时性的问题,本文提出了一种基于平均声速测量的声速剖面实时重构方法。首先,基于历史数据进行特征分解并选择经验正交函数(Empirical Orthogonal Function, EOF)的阶次;其次,利用实测的水下某深度的声速和该深度至海面的平均声速,通过求二元一次方程组的最小范数解得到EOF重构系数;最后,结合历史声速剖面重构全海深声速剖面。使用西太平洋海域的再分析数据对该方法进行了仿真验证,结果表明:采用该方法重构的声速剖面与真实声速剖面拟合效果较好,平均均方根误差约为1.31 m·s-1。本文所提方法可为水下航行器实时重构声速剖面提供技术支撑。A real-time reconstruction method of sound velocity profiles based on mean sound velocity measurement is proposed,as the traditional reconstruction methods of sound velocity profiles are usually not real-time.Firstly,eigen decomposition is performed on historical data,and the modes of empirical orthogonal function(EOF)are chosen.Secondly,the EOF reconstruction coefficient is obtained by solving the minimum norm solution of linear equations in two unknowns based on the measured sound velocity at a certain depth under water and the mean sound velocity from this depth to the sea surface.Finally,sound velocity profiles of full ocean depth are reconstructed combining with historical sound velocity profiles.The method is simulated and verified with the reanalysis data of the western Pacific Ocean,it shows that the reconstructed sound velocity profiles are in good agreement with the real sound velocity profiles,and the mean root mean square errors is about 1.31 m·s-1.The proposed method provides technical support for undersea vehicle’s real-time reconstruction of sound velocity profiles.
分 类 号:P733.2[天文地球—物理海洋学]
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