Atmospheric reanalysis products cover four-dimensional grid information of air temperature, pressure, humidity, wind speed, direction and other variables for a period of time, which can be widely applied to climate change, weapons and equipment design and many other fields. Focusing on formats and characteristics of the reanalysis product, the general framework of application platform for reanalysis products is designed with the classical three layer model of MVC, integrating the application components such as decoding, statistical analysis, visualization and standard IO interface with third-part software. The ASCII grid data requires users to export the data with GRIB format and combine data in different fields with stitching software in the past, which is time-consuming and cumbersome. A combination of grid data management and field data management results in efficient management of petabyte-scale reanalysis products with high expansion and low delay. This paper shows that the joint management combining field unit and point unit can meet the needs of the application of data retrieval in different time and space scale.