HR: 0800h
AN: H21C-0689    [Abstracts]
TI: A Novel Approach to Parameter Identification for Distributed Hydrologic Modeling
AU: * Liu, Y
EM: yqliu@hwr.arizona.edu
AF: University of Arizona, Hydrology & Water Resources 845 N. Park Ave, Tucson, AZ 85721-0158, United States
AU: Gupta, H
EM: hoshin.gupta@hwr.arizona.edu
AF: University of Arizona, Hydrology & Water Resources 845 N. Park Ave, Tucson, AZ 85721-0158, United States
AU: Durcik, M
EM: mdurcik@hwr.arizona.edu
AF: University of Arizona, Hydrology & Water Resources 845 N. Park Ave, Tucson, AZ 85721-0158, United States
AU: Wagener, T
EM: thorsten@engr.psu.edu
AF: Pennsylvania State University, Civil and Environmental Engineering 226B Sackett Bldg., University Park, PA 16802, United States
AB: The demands on, and interest in, distributed hydrologic models have increased considerably in recent years. However, most parameters used in hydrologic models (especially those of the "conceptual" type) do not correlate strongly with measurable physical quantities and therefore cannot be directly derived from field observations. Since applying a model in a distributed fashion significantly increases the number of model parameters, the development and implementation of parameter identification strategies represent a real challenge for distributed hydrologic modeling. In this presentation, we discuss a novel methodology for distributed hydrologic parameter identification based on the classification of hydrologic landscapes (HL), which reflect the dominant controls on the fundamental hydrologic processes and therefore arguably the major system parameters. The HL-based approach proposed here is computationally inexpensive and holds promise for making improved predictions in ungaged basins. Applications of this new approach to distributed modeling in river basins in the US Southwest will be presented and discussed.
DE: 1805 Computational hydrology
DE: 1846 Model calibration (3333)
DE: 1847 Modeling
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: 2007 Fall Meeting