In this study, a high-resolution daily data set of surface weather were obtained from PRIDE(PRISMbased Dynamic downscaling Error correction) model for the period of 2000 to 2017 over South Korea. The simulation data of five RCM(Regional Climate Model) were also used which are forced by the CMIP6 participating model UK-ESM as the boundary condition under historical period (2000-2014) and SSP 5-8.5 period (2015- 2017). Here we compared the RCM data and the PRIDE data with MK-PRISM data in terms of ensemble mean and ensemble spread. Results show that the PRIDE model effectively eliminates systematic error in the RCM up to 63.0% for daily average temperature, 72.2% for daily maximum temperature, 68.2% for daily minimum temperature, and 28.7% for daily precipitation when evaluated from the RMSE perspective. Overall, the ensemble spread of the PRIDE model is significantly decreased from 1.46°C to 0.36°C for daily temperature and from 2.0 mm/day to 0.72 mm/day for daily precipitation compared to the RCM ensemble spread, indicating that the largest systematic error of the RCMs is effectively removed in the PRIDE model.

Abstract
1. 서론
2. 자료 및 연구 방법
3. 결과
    1) RCM의 일 변동성
    2) PRIDE 모델의 일 변동성
    3) 경년 변동성에 대한 앙상블 스프레드
4. 결론
References

• 윤지현(공주대학교 대기과학과) | Ji-Hyun Yoon (Department of Atmospheric Science, Kongju National University)
• 상정(공주대학교 대기과학과) | Jeong Sang (Department of Atmospheric Science, Kongju National University)
• 김맹기(공주대학교 대기과학과) | Maeng-Ki Kim (Department of Atmospheric Science, Kongju National University) Correspondence