The traditional meteorological data processing model can no longer meet the current social demand for meteorological data services, nor can it meet the requirements of national economic and social development for meteorological data services. Under the traditional model, the processing efficiency of meteorological data is low, the labor cost is high, and the data security is poor. In order to further improve the service level of meteorological data, this paper adopts distributed architecture and cloud computing technology, with cloud platform technology as the core, builds an intelligent system of meteorological data, designs the cloud platform architecture, and introduces the system functions in detail, which has strong practicality and broad application prospects. The results show that the system improves the processing efficiency of meteorological data, and its average processing efficiency reaches 90.08% under different weather conditions. At the same time, it also reduces the error rate of the meteorological system and provides users with high-quality meteorological information services.