HR: 09:15h
AN: H41G-06    [Abstracts]
TI: Constraining Parameters of a Distributed Hydrologic Model Using Both Apriori Information and Optimization
AU: * Yilmaz, K K
EM: koray@hwr.arizona.edu
AF: Department of Hydrology and Water Resources, 1133 E. North Campus Drive Harshbarger Building, Tucson, AZ 85721 United States
AU: Gupta, H V
EM: hoshin.gupta.hwr.arizona.edu
AF: Department of Hydrology and Water Resources, 1133 E. North Campus Drive Harshbarger Building, Tucson, AZ 85721 United States
AU: Wagener, T
EM: thorsten@psu.edu
AF: Department of Civil and Environmental Engineering, 226 B Sackett Building , University Park, PA 16802 United States
AB: Automatic calibration of distributed hydrologic models is complicated by the high dimensionality of the parameter space and uncertainties arising from various sources. Spatial organization of hydrologically important watershed characteristics can be used to constrain (and therefore reduce) the dimension of the parameter space. The National Weather Service has developed an apriori parameter estimation framework for the distributed Sacramento Soil Moisture Model, based on the STATSGO Soil Database. Using this approach as a baseline, several model calibration strategies (incorporating uncertainty) were explored, including 1) optimization of apriori parameter multipliers, and 2) penalizing deviations from the apriori parameter values. An important implication of basing the derived hydrologic model parameters on soil hydraulic property data is that, uncertainties in the soil hydraulic parameters will be reflected in the hydrologic parameter estimates. The consequences of these uncertainties will be analyzed, and results for several operational basins will be presented and discussed.
DE: 1804 Catchment
DE: 1846 Model calibration (3333)
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: Fall Meeting 2005