본 연구에서는 금강유역 내 대청댐 및 용담댐유역을 대상으로 기상청에서 제공하는 공간해상도 27 km 지역규모의 A1B시나리오 기반의 RCM모형과 SWAT모형을 이용하여 미래 유출량 전망을 분석하였다. 기본적으로 GCM 및 RCM은 시공간적 스케일의 상이성으로 인해 수자원 영향 평가를 위한 자료로서 직접적인 이용은 현실적으로 곤란하다는 점에서 본 연구에서는 RCM 격자자료를 유역단위에서 강우관측소지점 단위로 공간적 다운스케일링을 실시하였으며 RCM 월자료

Temperature rise of 4.0℃ is projected under SRES A1B greenhouse gases emission scenario in 2100 and this climate change is anticipated to affect the growth, phenological development, and yield of soybean. The objective of this experiment is to calibrate and validate CROPGRO_soybean model and evaluate the projected climatic change impact on soybean phenological development in Korea. For simulation experiment, four cultivars with different maturity groups, Hwaeomputkong(MG1), Sinpaldalkong(MG4), Taegwangkong(MG5), and Daewonkong(MG6) were calibrated and validated using data that were collected from the experiments of planting dates and daylength treatment. The calibrated model predicted the phenological stages with considerable accuracy for the data acquired independently of the calibration data. As global warming proceeds, days to flowering and days to physiological maturity on average across varietal groups and planting dates are anticipated to decrease by about 7 and 5 days respectively under the projected normal climate during the period of 2071~2100 compared to those under the current normal climate condition.