This study investigates the ability of a regional climate model to reproduce the characteristics of the East Asian climate, focusing on the summer and winter monsoons, using the Global/Regional Integrated Model system (GRIMs). GRIMs is forced by the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) reanalysis data for 30 years, from 1979 to 2008.

The model can reproduce large scale features associated with the East Asian summer and winter monsoon in terms of the 30-year seasonal mean climate. The precipitation and surface temperature from the regional climate model are evaluated against observational data. The simulated precipitation climatology reasonably agrees with that from the two analysis datasets based on station and remote-sensing data. Outstanding characteristics of precipitation, including the location of the main rainband, climatological mean, and the spatiotemporal variability, are well represented in the hindcast. The most notable bias in the simulated precipitation is an underestimation of summer rainfall over the oceans. However, the daily evolution and northward propagation of the summer precipitation are fairly well simulated. This suggests that GRIMs can be useful for subseasonal prediction. The simulated surface temperature agrees with observation as well. In particular, the maximum and minimum temperature in the summer of 1994, when a heat wave was observed in Korea, is well captured by the regional climate model. These results allow us to be cautiously optimistic about the models’ ability to simulate important climatological features, as well as extreme events, as far as precipitation and temperature, in East Asia.

1. 서론

2. 연구 방법

2.1 Global/Regional Integrated Model System (GRIMs)

2.2 실험 설계

2.3 Scale-Selective Bias Correction (SSBC)

3. 연구 결과

3.1 계절 평균 기후값

3.2 경년 변동성

3.3 계절내 변동성

4. 요약 및 결론