Global climatological dataset of undersea acoustic parameters derived from the NCEI World Ocean Atlas 2023
收藏资源简介:
Acoustics is most effective in undersea detection, localization, and communication. Establishment of a global climatological dataset of undersea acoustic parameters becomes urgent. In building such a dataset, first we use the Thermodynamic Equation of Seawater-2010 (TEOS-10) to calculate the sound speed (SS) from the gridded temperature and salinity fields of the NOAA/NCEI World Ocean Atlas 2023. Second, we determine the depth of overall minimum from SS profile as the deep sound channel (DSC) axis depth, the depth of overall maximum between the surface and DSC axis as the sonic layer depth (SLD), the depth of the local minimum between SLD and DSC axis as the second sound channel (SSC) depth, and the depth with the SS equalling the maximum SS as the critical depth. Third, we obtain the SS at the surface, SLD, DSC axis, and SSC axis. Fourth, we determine the other acoustic parameters such as In-layer gradient, below layer gradient, DSC strength, SSC strength, depth excess, and surface duct cut-off frequency. The dataset is publicly available.
声学在海底探测、定位与通信领域应用效果最佳。构建全球海底声学参数气候学数据集的需求日益迫切。在构建该数据集的过程中,我们首先采用海水热力学方程2010(Thermodynamic Equation of Seawater-2010, TEOS-10),基于NOAA/NCEI《2023年世界海洋图集》的网格化温度与盐度场计算声速(sound speed, SS)。其次,我们从声速剖面中提取全局最小值对应的深度作为深海声道轴深度(deep sound channel, DSC),将海面与深海声道轴之间的全局最大值对应深度定义为声跃层深度(sonic layer depth, SLD),将声跃层深度与深海声道轴之间的局部最小值对应深度定义为第二声道(second sound channel, SSC)深度,将声速等于最大声速的深度定义为临界深度。第三,我们获取海面、声跃层、深海声道轴以及第二声道轴处的声速数值。第四,我们计算其余声学参数,包括层内梯度、层下梯度、深海声道强度、第二声道强度、深度余量以及表面波导截止频率。本数据集已公开可获取。




