Recently the regional impact assessment due to global warming is one of the urgent tasks to every country in the world, under the circumstances of increasing carbon dioxide in the atmosphere. Before projecting future climate, model performances are evaluated on the simulation of the present-day climate. In this study, we adopted a dynamical downscaling technique to get current climate information, with the National Centers for Environmental Prediction (NCEP) Regional Spectral Model (RSM). To this end, boundary condition experiments driven by ECHAM5 data are performed. The RSM configured with an approximately 60 km grid over East Asia centered at the Korean peninsula. The model has been run for the period of June-July-August for 1987-2000, creating 14-year long simulations. The model is initialized at 1 June and integrated up to the end of August. The modeled regional climate is investigated in view of seasonal mean, intra-seasonal, daily and diurnal variation.