HR: 09:00h
AN: H41G-05 INVITED     [Abstracts]
TI: Use of a Priori Information in Parameterization of Distributed Hydrological Models
AU: * Koren, V
EM: Victor.Koren@noaa.gov
AF: NOAA/NWS/OHD, 1325 East-West Highway, Silver Spring, MD 20910 United States
AB: The NOAA/National Weather Service is actively investigating distributed hydrologic modeling for enhanced water resources forecasting. Utilization of spatially variable input fluxes and better representation of basin physical properties are two main benefits of distributed modeling. While the former is feasible in practical applications, the latter has significant challenges to realize benefits. Parameterization of recent processed-based distributed models can be more closely linked to basin physical properties. However, modeling and measurement scale differences as well as model and data uncertainties restrict the direct use of measured properties, and require development of some estimation procedures such as calibration, filtering, etc. The tremendous dimensionality of the parameter space of distributed models is one of the biggest challenges of estimation procedures. We propose two approaches to overcome this problem. The first is to significantly increase the use of a priori information in the calibration process, while the second is to reduce the parameter space dimensionality. Commonly available calibration methods use a priori information as subjective guidance and not as direct information in an estimation procedure. They require tens of thousands of criteria evaluations even for lumped model calibration This presentation evaluates the effects of a priori information and some approaches to reduce the parameter space in distributed model estimation procedures.
DE: 1800 HYDROLOGY
DE: 1846 Model calibration (3333)
DE: 1860 Streamflow
DE: 1874 Ungaged basins
SC: Hydrology [H]
MN: Fall Meeting 2005