基于FIO-COM的海洋声学预报系统的构建与应用

Construction and Application of Ocean Acoustic Forecasting System Based on FIO-COM

  • 摘要: 将海洋模式与声传播模型结合在一起,设计开发了一种适用于高性能计算机的全球海洋声学预报系统FIO-GOAFS,该系统以自然资源部第一海洋研究所全球0.1°分辨率海浪-潮流-环流耦合模式(FIO-COM)为基础,利用海洋模式预报的温、盐、深参数计算声速剖面,并对声速剖面进行水声环境特征诊断,之后将海洋模式与水下声场传播模型协同连接,结合地声模型(海底地形和底质参数),实现了全球海域的水声环境特征诊断及水下声场及相关结果的预报。海洋模型提供水下声学预报所需的水体声速、海浪波高等参数,地声模型提供海底地形、底质声速、密度以及衰减等参数,通过调用海洋-声学连接模块提取声传播路径的地形及海洋环境参数剖面,实现海洋模型和声学模型的有效连接。全球海洋声学预报系统在高性能计算机上并行实现,主要包括声场计算中的频点、方位角并行以及声学预报时针对地理空间区域的并行。最后,利用该系统预报并分析了全球海域的水声环境特性及声呐作用距离的季节变化和空间分布特征,为现代声呐的设计、操作和水下应用提供参考。

     

    Abstract: A global ocean acoustic forecasting system (FIO-GOAFS) for high performance computer is designed and established by combining acoustic propagation models with the surface wave-tide-circulation coupled ocean model with 0.1° resolution developed by the First Institute of Oceanography, MNR. Sound velocity profiles are calculated with temperature, salinity, and pressure for the diagnosis of underwater acoustic environment characteristic, then the ocean model and underwater acoustic propagation model are coupled. Combined with geo-acoustic model (seafloor topography and substrate parameters), the diagnosis of underwater acoustic environment characteristics and the prediction of underwater acoustic field are realized. Ocean model simulated the sound velocity and wave height parameters, and geo-acoustic model provides the parameters including seafloor topography, sound velocity, density, and attenuation of substrate. By calling the ocean-acoustic coupled module, the seafloor topography and ocean environmental parameters as well as sound propagation path are thus extracted to realize the effective connection between the ocean model and the acoustic model. The parallel operation of the global ocean acoustic forecasting system mainly includes the parallelism of frequency point and azimuth angle in sound field calculation and the parallelism of geospatial region in acoustic forecasting. Finally, the seasonal and spatial variation of underwater acoustic environment characteristic and sonar detection range in the global ocean are predicted and analyzed by using the forecasting system, these results provide useful reference for the design, operation, and underwater applications of modern sonar.

     

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