An integrated approach for water quality prediction was presented. Four different downscaling methods, in accordance with the degree of utilizing the seasonal climate prediction information, were developed in order to improve predictability and to refine the spatial scale. Then, a sampling-based temporal downscaling was conducted in order to create daily weather inputs to the SWAT model. Finally, modeling-based predictability was evaluated by using 3-month lead prediction data using SWAT.