HR: 15:30h
AN: H44B-01 INVITED     [Abstracts]
TI: A priori parameters, uncertainties, and calibration in watershed modeling
AU: * Koren, V
EM: Victor.Koren@noaa.gov
AF: National Weather Service, OHD, 1325 East-West Highway, Silver Spring, MD 20910 United States
AU: Seo, D
EM: Dongjun.Seo@noaa.gov
AF: National Weather Service, OHD, 1325 East-West Highway, Silver Spring, MD 20910 United States
AU: Kuzmin, V
EM: Vadim.Kuzmin@noaa.gov
AF: National Weather Service, OHD, 1325 East-West Highway, Silver Spring, MD 20910 United States
AB: The availability of new sources of comprehensive, high resolution physiographical information shifted watershed modeling toward more physically-based approaches. As a result, model parameterization can be more closely linked to basin physical properties. However, because of simulation and measurement scale differences as well as model and input data uncertainties, different transformation functions between measured properties and actual model parameters/constants (so called a priori parameters) are required. Derivation of a priori parameters is critical in distributed hydrological modeling when parameters have to be specified for a large number of computational elements. Two approaches are most commonly used: establishing direct physically-based relationships, and statistical regionalization. Both approaches have disadvantages because of poorly defined physical relationships or non-uniqueness of calibration results. This presentation evaluates these approaches for the Hydrology Laboratory Distributed Modeling System. Parameterization results for distributed water balance and channel routing models suggest that combining these two approaches can improve an estimation procedure.
DE: 1800 HYDROLOGY
DE: 1860 Runoff and streamflow
DE: 1894 Instruments and techniques
SC: Hydrology [H]
MN: 2005 Joint Assembly