Abstract: National Verification System in CMA provides a unified verification data environment to realize unified management and service of the observation, forecast and verification data. A standardized and efficient verification operational process is established, which is compatible with multiple data including MICAPS data, GRIB2 data, NWFD data, automatic weather station data and other meteorological data. It works with dozens of verification operation such as national and provincial intelligent grid forecasting, urban weather forecast, quantitative precipitation forecast, and the air quality forecast in big cities. The verification products are displayed in spatial distribution map, histogram and data table.Verification results can provide management departments with assessment and evaluation of forecasters from different departments, and support optimizing the management and allocation of resources. On the other hand, forecasters can also examine the verification results to improve future forecasting. Moreover, these results can also indicate forecasting capacity of different models for model developers. Regular annual and monthly verification reports issued by official departments, temporary verification reports required for the assessment and evaluation of forecasters are provided by the inspection system.National Verification System is overall standardized and systematic. The construction of the system emphasizes unification of norms and interfaces, so as to standardize basic functions, operational processes, data models and data coding information standards of the system construction and enhance the expansibility of the system. The system is deployed on three Linux servers, namely Web server, database server and data processing server. By updating and upgrading the system, the efficiency of statistical query results is improved, the interactive response of the inspection system is faster, and the operational process is complete and more standardized.The system consists of 4 functional modules:Forecast verification, analysis of verification documents, query and analysis of verification data and management of verification platform. The system organizes and manages all kinds of data effectively, dispatches the verification algorithm uniformly, and is compatible with new verification methods in the future. Key technologies include standardized data management, open algorithm module management and scheduling, and visual analysis of verification data.In order to provide references for provincial development of relevant verification systems, the specific verification methods of each module and the detailed processing in real-time operation are also described in particular. At the same time, the system provides comparison between results of urban weather forecasting and ten-day, monthly and annual intelligent grid forecasting. And therefore, it strongly supports the operational research and development of intelligent grid forecasting products and operational tests.