Tanzania
Research Article
Evaluating Multi-Scale Flow Predictions for the Connecticut River Basin
Author(s): Muhammet Omer Dis, Emmanouil Anagnostou, Flamig Zac, Humberto Vergara and Yang HongMuhammet Omer Dis, Emmanouil Anagnostou, Flamig Zac, Humberto Vergara and Yang Hong
This case study evaluates a computationally efficient distributed hydrological model, named Coupled Routing and Excess Storage (CREST), for flood modeling of basins in the Connecticut River Basin (CRB). Simulation of discharges is performed by forcing CREST with a long record (eight years) of high resolution radar-rainfall data and potential evapotranspiration maps derived from the North American Regional Reanalysis. The model performance is evaluated against observed streamflows obtained from United States Geological Survey gauging stations at outlet and interior points of various CRB sub-basins. CREST parameters were calibrated based on a three year record (2005-2007) and validated for the remaining data period (2003-2004 and 2008-2009). The model performance evaluation is based on different metrics, including the Nash-Sutchliffe Coefficient of Efficiency (NSCE), Mean Relative Error.. Read More»
DOI:
10.4172/2157-7587.1000208
Hydrology: Current Research received 2843 citations as per Google Scholar report