Abstract: The intensive development of meteorological operational systems and the reform of "cloud + end" technology framework are important measures to achieve high-quality development of meteorological services. In 2020, China Meteorological Administration proposed the establishment of a "cloud + end" operational technology system, designating CMA Big Data and Cloud Platform as the cloud and existing meteorological business system as the end components, clarifying the positioning of CMA Big Data and Cloud Platform as a key foundational technological infrastructure. The Platform leverages technologies such as stream data processing, distributed heterogeneous data storage, container-based algorithm scheduling, and gateway-based unified interface services. These enable rapid standardized decoding, storage, and servicing of meteorological data, efficient and centralized algorithm scheduling of computational tasks. The Platform consists of a data processing system, storage management system, product processing system, data interface system, and a pilot-test simulation environment. Among these, the data processing system utilizes technologies such as Storm stream data processing to achieve high-efficiency decoding and processing of meteorological data. The storage management system employs distributed heterogeneous storage technology to address different data formats and application scenarios, thereby facilitating efficient storage and application of massive meteorological data. The product processing system, which is structured around an algorithm library and processing pipeline, allows for unified management of meteorological algorithms and efficient container-based scheduling and execution of algorithms. The data interface system adopts unified interface service technology based on an API gateway, providing efficient, stable, and secure sharing services for meteorological data. The pilot-test simulation environment serves as a cloud-native development and testing environment for meteorological business software, offering abundant test data, development environments, and test admission evaluation functions, significantly improving the cloudification efficiency and standardization of application systems.The Platform was put into operational use at national and provincial levels in 2021, supporting real-time meteorological operations across the country. It handles 52.7 billion data access requests annually, with an annual data access volume of 135 PB, and ensures the stable scheduling and operation of 6287 business algorithms. The Platform has progressively eliminated data silos, significantly enhanced the integration of application systems, and improved data application efficiency by 2 to 10 times. It plays a vital supporting role in boosting the operational efficiency of meteorological systems, strengthening their collaboration, accelerating the reform of the "cloud + end" operational technology system, and promoting the intensive development of meteorological operations.The continuous advancement of new technologies, including artificial intelligence and digital twins, is expected to drive architectural innovation, technological upgrades, and functional expansion of the Platform. This evolution will establish the next-generation digital foundation for meteorological operations, namely Earth System Data Platform, to comprehensively support the digital transformation, intelligent upgrading, and smart services of meteorological operations.