Based on the ensemble forecasts of 1—7 day daily accumulated precipitation from the European Centre for Medium-Range Weather Forecasts(ECMWF),Japan Meteorological Agency(JMA),National Centers for Environmental Prediction(NCEP) and UK Met Office(UKMO),with the hourly merged precipitation product over China as the observed data,the forecast of daily precipitation in China by means of statistical downscaling and the reconstruction of spatial and temporal correlation of the precipitation forecast were conducted.The statistical downscaling based on different categories of the rainfall was applied to improve the precipitation forecast.The Schaake Shuffle was used to reconstruct the spatial correlation and temporal persistence of the precipitation forecast.The results show that the forecasts after the regression based on the different categories of the rainfall are more accurate than the ones after the regression.Classifying the rainfall into different categories was not considered,due to the fact that the anomaly correlation coefficient becomes larger and the root-mean-square error becomes smaller.The spatial and temporal correlations after the reconstruction are quite close to the observed ones.