Utilizing Radar Data to Improve Streamflow Forecasts
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This research investigates how the spatial distribution of rainfall within a basin influences the resulting streamflow forecasts. Specifically, the research evaluates fine scale (4 km x 4 km) hourly digital precipitation (HDP) data, provided by the WSR-88D Doppler radar, against rain gage data. The basin is divided into six sub-basins for the evaluation. The hypothesis is that the greater spatial resolution of the radar-derived rainfall, in combination with sub-dividing the basin, will provide a more accurate estimate of rainfall within the basin, thereby producing a more accurate streamflow forecast.