As weather radar technology develops, traditional monolithic radar product generation systems are unable to meet the requirements of rapid detection rate and multi-source data in new weather radar systems. In this study, a distributed radar product generation system based on message scheduling is proposed to improve the real-time and scalability of the system. Based on ActiveMQ message middleware, a task scheduling strategy of the distributed cluster is designed. The Ceph file system is employed to build a unified and efficient storage service, and the parallel acceleration of the meteorological algorithm is implemented by GPU. At present, this system has been delivered and applied in actual projects and has yielded good results. Therefore, it is of certain promotion value and application significance.