Design of test-bed system for meteorological numerical prediction model and key technology realization

Meteorological forecast numerical model is an important basis of numerical weather forecasting. The research and development of meteorological numerical model needs to continuously carry out simulation experiments in high-performance computing to test and evaluate the prediction effect. Aiming at the problems of inconvenient, time-consuming, invisible, complex details,difficult to analysis during meteorological scientists manually compile batch processing scripts to carry out numerical simulation experiments, this paper develops an interactive visual model test-bed system based on Python and workflow technology with client-server architecture, which provides the construction, simulation, monitoring, analysis, management and sharing for model experiment. The application results show that, the system improves the efficiency of model research and development and the usability of high-performance computer system, plays an important supporting role in the test-bed of numerical weather forecast model, and has good