The performance of three statistical postprocessing methods and their combinations for 3 h precipitation forecasts out to 72 h from May to September are compared in this paper. They are optimal threat score (OTS) correction, model output statistics (MOS) and MOS with priorspatial observation predictors (OMOS). The 3 h precipitation forecasts of ECMWF model output (DMO), MOS, OMOS, and their OTS correction forecasts (DMOOTS, MOSOTS, OMOSOTS) are evaluated. The results show that MOSOTS method has the best performance in the short term forecast. At the same time, for the heavy precipitation forecast, MOSOTS also obviously outperforms the operational guidance (GD) forecast which integrates subjective and objective predictions. In the first 3 h precipitation forecast, OMOSOTS is the best method. For the first 3 h precipitation forecast, the TS scores of OMOSOTS for thresholds of 0.1, 3 and 10 mm per 3 h are improved about 73%, 198% and 483% than DMO respectively. And the bias score of OMOSOTS is close to 1. In the daily variation during summer time, the first 3 h precipitation forecast from OMOSOTS outperforms both MOSOTS and GD forecast in most days evaluated by TS and Bias scores for the threshhold of 0.1 mm per 3 h.