海洋-声学-探测模型的并行预报技术研究

Study on the Parallel Forecast Technology of the Oceanic Acoustic Detection Model

针对声纳探测性能预报的需求,建立了海洋-声学-探测模型,实现了并行计算。该模型将海洋数值预报模式、声学模式与海洋观测资源进行整合,辅以战术需求,实现了对水声环境和声纳探测性能的动态预报和估计。同时,结合高性能计算机系统,设计并实现了模型的并行算法,结果表明,该程序具有较高的并行性能,较好地满足了声纳探测性能预报对实效性的要求,为形成业务化海洋水声环境预报能力打下了良好的基础。

To meet the needs of sonar performance prediction, an oceanic acoustic detection model is established to realize parallel computation. This model, supplemented by tactical requirements, integrates marine numerical prediction, acoustic mode and ocean observing resources, and realizes dynamic forecast and estimation on the underwater acoustic environment and sonar detection performance. Meanwhile, combined with the high-performance computer system, a parallel algorithm is designed and implemented for the model. The results show that the program has high parallel performance, meeting the requirements of sonar prediction performance on the effectiveness, which lays a good foundation for the formation of operational ocean acoustic environment forecast.