Abstract
Recent years have witnessed significant adv ances in development of operational radar rainfall products. These products are desirable for several hydrologic applications such as flood forecasting and rainfall -runoff modeling. It is recognized that radar -rainfall estimates are associated with unkno wn uncertainties. The nature of these uncertainties and their impact on the prediction accuracy of hydrologic models is not fully understood. The present study presents an analysis of uncertainties of operational radar -rainfall products and how they prop agate into rainfall -runoff models. The study uses NWS Multi -sensor Precipitation Estimator (MPE) radar -rainfall products over the Goodwin Creek experimental watershed. Surface rainfall observations from a dense rain gauge network in the watershed are use d to analyze error characteri stics of radar products. MPE radar data are used as input to a fully distributed hydrologic model (GSSHA) to simulate runoff response during 11 storms recorded i n 2002. The study focuses on effect of three different radar er ror characteristics: systematic error (bias), random error, and temporal and spatial correlations of radar the error filed.
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