HR: 10:20h
AN: H12C-01 INVITED     [Abstracts]
TI: The use of (Uncertain) Landscape Discretization Schemes in Process-Oriented Catchment Models of Different Complexity
AU: * Uhlenbrook, S
EM: stefan.uhlenbrook@hydrology.uni-freiburg.de
AF: University of Freiburg, Institute of Hydrology, Fahnenbergplatz, , Freiburg, 79098 Germany
AU: Johst, M
AF: University of Freiburg, Institute of Hydrology, Fahnenbergplatz, , Freiburg, 79098 Germany
AU: Wissmeier, L
AF: University of Freiburg, Institute of Hydrology, Fahnenbergplatz, , Freiburg, 79098 Germany
AU: Eppert, S
AF: University of Freiburg, Institute of Hydrology, Fahnenbergplatz, , Freiburg, 79098 Germany
AU: Tetzlaff, D
AF: University of Aberdeen, Department of Geography and Environment, Aberdeen, AB24 3UF United Kingdom
AB: Process-oriented catchment models require spatially distributed data sets for defining the model structure and parameterizing different modules. However, as the classical input time series of hydrological variables, also theses spatial data sets are uncertain and the using them in models involve many assumptions by the modeller. For instance, the use of point data sets require an adequate regionalization (problems of station distribution and representativeness of locations etc.), and the use of spatial patterns is often difficult due to the limited availability of suitable data and due to scale issues. Breaking up the catchment in different functional units (`hydrotopes') is one way to incorporated hydrological process understanding into a catchment model. In this paper, two different models of different complexity are compared. On the hand, the process-oriented catchment model TAC-D (tracer aided catchment model, distributed) was used, which is a fully distributed raster models with different modules to simulate all hydrological processes continuously on an hourly base. On the other hand, an event-based, semi-distributed model was applied that is based on the Geomorphological Instantaneous Unit Hydrolograph (GIUH) approach. The studies were performed for catchments in the Black Forest Mountains, Germany, and in the Kitzbueheler Alps, Austrian. For both models spatial delineations of functional units of different complexity were used to explore the uncertainty introduced by assuming just one delineation. In addition, the model prediction uncertainty introduced by the spatial delineation is compared to the uncertainty using distinct precipitation input data sets (ground station data vs. radar data). Beside the simulated runoff also the distribution of runoff components and the predictions of hydro-chemical parameters are investigated.
DE: 1800 HYDROLOGY
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting