摘要
The high-fidelity reconstruction of sound speeds is crucial for predicting acoustic propagation in shallow water where internal solitary waves(ISWs)are prevalent.Mapping temperatures from time series to spatial fields is an approach widely used to reproduce the sound speed perturbed by deformed internal waves.However,wave-shape distortions are inherent in the modeling results.This paper analyzes the formation mechanism and dynamic behavior of the distorted waveform that is shown to arise from the mismatch between the modeled and real propagation speeds of individual solitons within an ISW packet.To mitigate distortions,a reconstruction method incorporating the dispersion property of an ISW train is proposed here.The principle is to assign each soliton a real speed observed in the experiment.Then,the modeled solitons propagate at their intrinsic speeds,and the packet disperses naturally with time.The method is applied to reconstruct the sound speed perturbed by ISWs in the South China Sea.The mean and median of the root-mean-square error between the reconstructed and measured sound speeds are below 2 m/s.The modeled shape deformations and packet dispersion agree well with observations,and the waveform distortion is reduced compared with the original method.This work ensures the high fidelity of waveguide-environment reconstructions and facilitates the investigation of sound propagation in the future.
作者
李沁然
孙超
谢磊
黄晓冬
Qin-Ran Li;Chao Sun;Lei Xie;Xiao-Dong Huang(School of Marine Science and Technology,Northwestern Polytechnical University,Xi'an 710072,China;Shaanxi Key Laboratory of Underwater Information Technology,Xi'an 710072,China;Qingdao Research Institute,Northwestern Polytechnical University,Qingdao 266200,China;Frontier Science Center for Deep Ocean Multispheres and Earth System and Physical Oceanography Laboratory,Ocean University of China,Qingdao 266100,China;Key Laboratory of Ocean Observation and Information of Hainan Province and Sanya Oceanographic Institution,Ocean University of China,Sanya 572024,China;Laoshan Laboratory,Qingdao 266237,China)
基金
Project supported by the National Natural Science Foundation of China (Grant Nos.11534009,11904342,and 12274348)。