Author(s): Young-Oh Kim; Jae-Kyoung Lee; Dae-Il Jeong
Linked Author(s): Young-Oh Kim
Keywords: Extended streamflow prediction; Climate forecast information; Forecast accuracy; Scenario weighting method
Abstract: The forecasting skill for meteorological variables continues to improve from better understanding of the climatic system and particularly of ENSO phenomenon. An ongoing concern is the use of meteorological forecast information to hydrologic forecast. This research investigates climate forecast information available for improving extended streamflow prediction in Korea. Such information includes the climate forecasts provided by (1) MIMIM (Monthly Industrial Meteorology Information Magazine), (2) GDAPS (Global Data Assimilation Prediction System), and (3) NCEP (National Centers for Environmental Prediction). In addition, we propose methodologies that can employ the climate information for the extended streamflow prediction. Applied to monthly inflow forecasts for the Chungju multipurpose dam in Korea, MIMIM is valuable especially for the wet season.
Year: 2005