HR: 08:45h
AN: H21B-03    [PDF]
TI: In-stream Indicators to Reduce Parameter Uncertainty in Hydrologic Models
AU: * Shamir, E
EM: shamir@hwr.arizona.edu
AF: The University of Arizona, Department of Hydrology and Water Resources, Tucson, AZ 85721 United States
AU: Imam, B
EM: bisher@hwr.arizona.edu
AF: The University of Arizona, Department of Hydrology and Water Resources, Tucson, AZ 85721 United States
AU: Gupta, H
EM: hoshin@hwr.arizona.edu
AF: The University of Arizona, Department of Hydrology and Water Resources, Tucson, AZ 85721 United States
AU: Sorooshian, S
EM: soroosh@hwr.arizona.edu
AF: The University of Arizona, Department of Hydrology and Water Resources, Tucson, AZ 85721 United States
AB: Many automatic parameter estimation procedures resemble pure curve fitting approaches that use computer power to process data and utilize the degrees of freedom available in hydrologic models. Current efforts to estimate physically plausible model parameters focus on incorporating information and knowledge, derived from the observed data, into the calibration process. We extract information from historical streamflow records using in-stream indices that are intrinsic and representative of the basin hydrological response. A suite of in-stream indices from a variety of different temporal scale that is robust and differentiable was identified from 40 years of daily streamflow data from the Leaf River basin (~1950 km2), Mississippi. Subsequently, an automatic procedure, which selects hydrologic model parameters [Sacramento Soil Moisture Accounting SAC-SMA] that acceptably reproduce the indices in the simulation, was developed. The results showed that the initial SAC-SMA parameter range was reduced significantly, and all the model parameters are well identifiable. Moreover it was found that the resulting parameter ranges provided an uncertainty envelop on the predictions that enclosed different components of the hydrograph very well.
DE: 1800 HYDROLOGY
SC: Hydrology [H]
MN: 2003 Fall Meeting