In this study we evaluated the performance of the PRIDE (PRISM based Dynamic downscaling Error correction) model version 2.0 to provide user groups with model performance for daily temperature and daily precipitation using 54 observation station data and Regional Climate Model (RCM) HadGEM3- RA data for 30 years from 1981 to 2010. As a result of the verification of the independent period, the PRIDE model was found to effectively correct the systematic error of the RCM. This was because the PRIDE model basically calculated seasonal cycle of daily time scale using observational grid data produced based on PRISM (Parameter-elevation Relationships on Independent Slopes Model) and used PRISM to replace seasonal cycle of the RCM. As a result of the verification by quantitative measures, the temperature simulated by the PRIDE model showed a 56% to 80% reduction in the systematic error of the RCM on average. The precipitation simulated by the PRIDE model showed a reduction of the systematic error of the RCM by about 41%. The PRIDE model reproduced the bi-modal peak of summer precipitation, but RCM did not simulate well. As a result of analyzing the histogram, the PRIDE model was found to improve the temperature characteristics of the RCM, which simulated less frequently than the observations, at a high temperature interval. The rainfall simulated by the PRIDE model reduced the error of the number of days of precipitation simulated by the RCM by about 43% and also reduced the error by about 46% in light precipitation days.