The main goal of the subseasonal to seasonal (S2S) international forecasting research project is to improve S2S forecast skill, and especially the 0-60 day predictability skills. The China Meteorological Data Service Center takes part into the construction of the S2S multimodel database, has collected the S2S data of 11 original centers in the project. This article introduces the list of S2S model data, parameters, and file naming rules, discusses the data read algorithm, data analysis algorithm, and data visualization algorithm, evaluates the correctness, completeness and timeliness of the data, calculates the historical average of the data up to 20 years of reforecasts, calculates the anomaly and forecast values of the 5day, 7day and 10day scales, and then introduces the S2S visualization product applications. Based on the analysis of the ECMWF anomaly graphic products in the same period, the S2S data products are promoted in the shortterm climate forecast of the China Meteorological Administration.