Predictions
in Ungauged Basins: Promise and Progress (Proceedings of symposium S7 held during the
Seventh IAHS Scientific Assembly at Foz do Iguaçu, Brazil, April 2005). IAHS
Publ. 303, 2006, 47-56.
Evaluation of a grid-based distributed
hydrological model over a large area
VICTOR KOREN, FEKADU MOREDA, SEANN REED, MICHAEL SMITH & ZIYA ZHANG
Office of Hydrologic Development, National Weather Service, 1325
East-West Highway, Silver Spring,
Maryland 20910, USA
Abstract In this paper we present an on-going effort to utilize available soil moisture data. This study evaluates the performance of a distributed hydrological model using runoff and soil moisture over 75 basins with watershed areas varying from 20 km2 to 15 000 km2. These basins are selected in a region where unique soil moisture data of the Oklahoma Mesonet are available. While simulated runoff is compared to measured streamflow at a basin outlet, simulated soil moisture is compared to basin average soil moisture derived from Oklahoma Mesonet observations. Our results show that the modified Sacramento model driven by a priori parameters performs reasonably well and allows explicit estimation of soil moisture at desired layers. Annual, monthly, and 10-day runoff volumes are found in good agreement with observed data for a range of spatial scales. Simulated and observed soil moisture of the 0–25 cm layer agrees well with a slight (9%) negative bias. However, 25–75 cm layer soil moisture shows a significant (26%) negative bias for most watersheds located in a dry region with P/PE < 0.8.
Key words
distributed
model; prediction; runoff; soil moisture; space-time averaging