Abstract: The hydrostatic numerical forecasting model of marginal sea is the numerical forecasting model developed independently in China according to the characteristics of the marginal sea.There are many physical equations in the mo-del,and some equations are not appropriate for parallelism like SOR,so it takes a long time to run the program.To solve these problems,the parallel SOR method,which is based on 3D computing grids and characters of ocean forecasting models,is used to solve the parallel problem and keep dependencies between data in 3D computing grids.The methods are also used to improve the efficiency of the parallel program,such as using MPI non-blocking communication,cutting the process of computing and communication to more steps,and overlapping the steps of communication with computing.The experiments show that the performance of the parallel hydrostatic numerical forecasting model increases 60.71 times compared to the serial program,and root mean square error of three-day forecasting results (25920 time steps) is less than 0.001,which meets the numerical ocean forecasting requirements of timeliness and accuracy.

Key words: Numerical model,Forecasting,Parallelization,Non-blocking,SOR