Abstract
Quantitative precipitation estimates (QPE) derived from radar are useful in runoff simulation
in urban drainage. Simulation experiments using radar data sampled at various resolutions
identify the limits to predictability for various basin sizes. Spatial resolution of radar rainfall
used as input to a distributed model affects prediction error and scales with drainage area.
Radar data used in this analysis are derived from both S-band (NEXRAD) and X-band radars.
Using radar QPE derived from the existing WSR-88D (KHGX) as input to a physics-based
hydrologic model of Brays Bayou (260 km2) provides a baseline for comparison and guides
design of future radar networks. Results of experiments using historical radar events,
including the tropical storm Allison, indicate that accurate rainfall-runoff predictions in realtime
are possible and useful for site-specific forecasts. Radar and distributed hydrologic
model provide accurate rainfall and runoff data supporting site-specific flood information.