Taking the correction experiment of ECMWF model station forecast of 12 h cumulative precipitation as an example, taking Fujian, Jiangxi, Zhejiang and Shanghai as the research area, three technologies cited or initiated by Fujian when realizing the optimal threat score (OTS) correction method are introduced in detail, and compared with similar technologies. The results are summarized in the following points: 1) The 3-year quasi-symmetric sliding window sampling method is used to collect training samples to calculate the OTS correction threshold, and the effect is better than that of the sampling method of collecting the samples from the same season in the previous 3 years. 2) The magnitude of the OTS correction threshold F1 (i.e. elimination threshold) is closely related to the magnitude of 2 m temperature. As the temperature rises, the elimination threshold first increases and then decreases. Compared with the modeling scheme without grouping, the grouping modeling based on the maximum 2 m temperature forecast can obtain the elimination threshold under different temperature conditions, which can simultaneously reduce the false alarm ratio and missing ratio of light rain, and improve the equitable threat score of light rain by 5.0%~8.2%. 3) The effect of the first scheme, which is to use the inverse distance weighted interpolation method to interpolate the model precipitation forecast, and then use the OTS correction method to correct the precipitation forecast, is better than that of the second scheme, which is to use the nearest neighbor interpolation method to interpolate the model precipitation forecast, and then use the OTS correction method to correct the precipitation forecast.