This study analyzed future projections on daily mean values and extremes for temperature and daily precipitation over Seoul metropolitan city using bias-corrected high-resolution multi-regional climate models. The factors of uncertainty for the future projection of climate variables were defined. In the time series analysis of future projections for regional climate models, the average daily temperature and the number of days of the hot day-hot night were predicted to have a stable trend in the RCP2.6 scenario, and showed a tendency to increase continuously in the RCP8.5 scenario. The daily mean precipitation and RX1day (annual daily maximum precipitation) had large annual variabilities in the models. In the estimation of the fraction of total variance, the daily mean temperature was dominated by the internal variability in the early 21st century and the most contributing to the scenario uncertainty in the late 21st century. The daily mean precipitation showed a remarkable contribution from the internal variability over the entire period. The number of days of the hot day-hot night showed a similar contribution pattern to that of the daily mean temperature. For the RX1day, the internal variability dominated over the entire period, and the scenario uncertainty had little contribution. This study will help establish more scientific climate change adaptation policies by providing the uncertainty information for future climate change projection.

Abstract
1. 서론
2. 연구자료 및 방법
    1) 연구자료
    2) 연구방법
3. 연구결과
    1) 서울의 기온과 강수 평균 및 극한의 미래 전망
    2) 서울의 기온과 강수 평균 및 극한의 미래 전망에 대한 불확실성 요인의 기여도
4. 요약 및 결론
References

• 박창용(울산과학기술원 도시환경공학과) | Changyong Park (Department of Urban and Environmental Engineering, UNIST)
• 김가영(울산과학기술원 도시환경공학과) | Gayoung Kim (Department of Urban and Environmental Engineering, UNIST)
• 신석우(울산과학기술원 도시환경공학과) | Seok-Woo Shin (Department of Urban and Environmental Engineering, UNIST)
• 차동현(울산과학기술원 도시환경공학과) | Dong-Hyun Cha (Department of Urban and Environmental Engineering, UNIST) Correspondence