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This paper focuses on the system architecture and overall design of the Climate Monitoring and Prediction Analysis System (CIPAS 3.0) data environment, proposing and providing an in-depth analysis of several key technologies for system implementation. As the core business system for climate monitoring, prediction, and diagnosis at the National Climate Centre, CIPAS 3.0 integrates its data support environment fully into the meteorological big data cloud platform “Tianqing,” supporting the “cloud+client” climate business system framework, providing stable and reliable support for various stages such as data collection, storage, processing and monitoring. To support the storage and management of highresolution grid data and longtime sequence data from the meteorological station, the CIPAS 3.0 data environment designs and applies a spatial analysis database and a historical analysis database based on PostgreSQL and GBASE. This fills the performance bottlenecks of traditional databases and ensures efficient data storage and management functions. By integrating the Tianqing data collection, storage and monitoring, the CIPAS 3.0 data environment adopts a pluggable data processing framework based on profile to achieve automatic operation and construction of the whole process. Based on the standard meteorological service interface specifications, a data access interface with integrated numerical computation capabilities is provided. This not only improve the efficiency of realtime interactive computation, but also enhances the sensitivity to information such as data reporting and storage. The CIPAS 3.0 data environment design adopts OBS (Object Storage Service) for product management, and concurrently, a data monitoring system based on Tianjing has been constructed, which resolves the difficulties encountered in the daily operation and maintenance of CIPAS 3.0 such as data integrity monitoring, oneclick supplementary recording, and data source tracing. It actualises the support role of data collection, storage, processing, access, monitoring, and other links. Currently, the CIPAS 3.0 data environment is in operation, and its construction achievements have demonstrated its good potential for supporting business applications and development prospects through testing in national-level business units and pilot provinces. The future development of the CIPAS 3.0 data environment will be driven by demand to dynamically expand the types of data in the data environment; it will develop a general configurable system page to enable rapid data configuration and storage as needed, utilise matrix arithmetic to optimise the performance of the algorithm and interfaces of the spatial analysis database, implement automated operation and maintenance processes based on data perception and trigger message mechanisms, optimise data registration and review processes, alarm mechanisms, and automatic recovery, etc., to further enhance the supporting role of the CIPAS 3.0 data environment for business application capabilities.