Hydrological Processes · 1999 · 116 citations · 39 references
Natural ResourcesEarth SciencesHydrologyCatchment HydrologyHydrologic ModelingWatershed HydrologyCatchment AnalysisHydrological ModelingRainfall-runoff AnalysisRainfall-runoff ModelingRainfall-runoff ProcessesRainfall-runoff RelationshipsConceptual Hydrological ModelsEnvironmental TracersHydrological Model CalibrationHydrological Model ValidationPrecipitation-runoff ModelingRainfall-runoff SimulationSaturation Excess FlowSemi-distributed Hydrological Models
The need for powerful validation methods for hydrological models including the evaluation of internal stages and spatially distributed simulations has often been emphasized. In this study a multi-criterial validation scheme was used for validation of TOPMODEL, a conceptual semi-distributed rainfall–runoff model. The objective was to test TOPMODEL's capability of adequately representing dominant hydrological processes by simple conceptual approaches. Validation methods differed in the type of data used, in their target and in mode. The model was applied in the humid and mountainous Brugga catchment (40 km2) in south-west Germany. It was calibrated by a Monte Carlo method based on hourly runoff data. Additional information for validation was derived from a recession analysis, hydrograph separation with environmental tracers and from field surveys, including the mapping of saturated areas. Although runoff simulations were satisfying, inadequacies of the model structure compared with the real situation with regard to hydrological processes in the study area were found. These belong mainly to the concept of variable contributing areas for saturation excess overland flow and their dynamics, which were overestimated by the model. The simple TOPMODEL approach of two flow components was found to be insufficient. The multi-criterial validation scheme enables not only to demonstrate limitations with regard to process representation, but also to specify where and why these limitations occur. It may serve as a valuable tool for the development of physically sound model modifications. Copyright © 1999 John Wiley & Sons, Ltd.
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Changing ideas in hydrology — The case of physically-based models
Keith Beven · Journal of Hydrology · 1989 · 1.6K citations
Operational testing of hydrological simulation models
V. Klemeš · Hydrological Sciences Journal · 1986 · 1.4K citations · Full text