Abstract: The process of numerical prediction model research and development is a multi-disciplinary complex system engineering. As Moore’s law approaches its limit , exascale computing is coming and with the trend of earth system, the R & D collaboration of meteorological numerical model faces more complex collaboration, more professional computing platform to debug, wider shared demand challenges. In view of the above challenges, application research has been carried out around the solution of collaborative management, R & D process, code integration and sharing, model debug and experiment test-bed in high-performance computing environment with Git, Python and workflow to improve the collaborative efficiency and operational efficiency. The results show that this research standardizes the R & D process and achievement management, supports the convenient R & D management, debugging and analysis, improves the efficiency of upgrading and operation, it can provide reference for large-scale traditional scientific research on high performance computing.

Key words: meteorological HPC, SCM, collaboration, NWP model, PI-Sugon, test-bed