Monday, 16 September 2013
Breckenridge Ballroom (Peak 14-17, 1st Floor) / Event Tent (Outside) (Beaver Run Resort and Conference Center)
The spatial distribution and intensity of rainfall is necessary for hydrological model, particularly, grid based distributed model. The weather radar is much higher spatial resolution (1kmx1km) than rain gauges (~13km) although radar is indirect measurement of rainfall and rain gauges are directly observed it. And also, radar is provided areal and gridded rainfall information while rain gauges are provided point data. Therefore, radar rainfall data can be useful for input data on the hydrological model. In this study, we compared two QPE schemes to produce radar rainfall for hydrological utilization. The two methods are 1) spatial adjustment and 2) real-time Z-R relationship adjustment (RAR; Radar-Aws Rain rate). We computed and analyzed the statistics such as ME (Mean Error), RMSE (Root mean square Error), and correlation using cross-validation method (here, leave-one-out method).
- Indicates paper has been withdrawn from meeting
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