SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Estimating watershed-scale precipitation by combining gauge and radar dervied observations 
Authors:Ercan, M.B. and J. L. Goodall 
Year:2013 
Journal:Journal of Hydrologic Engineering 
Volume:8(18) 
Pages:1-37 
Article ID: 
DOI:10.1061/(ASCE)HE.1943-5584.0000687 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:171 km^2 Eno River in Orange County in North Carolina, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Watershed modeling requires accurate estimates of precipitation, however in some cases it is necessary to simulate streamflow in a watershed for which there is no precipitation gauge records within close proximity to the watershed. For such cases, we propose an approach for estimating watershed-scale precipitation by combining (or fusing) gauge-based precipitation time series with radar-based precipitation time series in a way that seeks to match input precipitation for the watershed model with observed streamflow at the watershed outlet. We test the proposed data fusion approach through a case study where the Soil and Water Assessment Tool (SWAT) model is used to simulate streamflow for a portion of the Eno River Watershed located in Orange County, North Carolina. Results of this case study show that the proposed approach improved model accuracy (E = 0.60; R2 = 0.74; PB = -10.2) when compared to a model driven by gauge data only (E = 0.50; R2 = 0.54; PB = -25.5) or radar data only (E = 0.33; R2 = 0.61; PB = -13.7). While this result is limited to a single watershed case study, it suggests that the proposed approach could be a useful tool for hydrologic engineers in need of retrospective precipitation estimates for watersheds that suffer from inadequate gauge coverage. 
Language:English 
Keywords:Precipitation, Watershed Modeling, Data Fusion