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• W1978379968 abstract "Abstract Hydrologic models are composed of several components which are all parameter dependent. In the general setting, parameter values are selected based on regionalization of observed rainfall-runoff events, or upon calibration at local stream gauge data when available. Based on these data, a selected parameter set is then used for the hydrologic model. However, seldom are hydrologic model outputs examined as to the total variations in output due to the independent but coupled variations in parameter input values. In this paper, three of the more common techniques for evaluating model output distributions are compared as applied to a selected hydrologic model; i.e., an exhaustion techniques, Monte Carlo simulation method, and the more recently advanced Rosenblueth technique. It is concluded that, for the hydrologic model considered, the Monte Carlo technique provides more accuracy in comparison to Rosenblueth technique (for the same computational effort), but is less accurate than Exhaustion." @default.
• W1978379968 created "2016-06-24" @default.
• W1978379968 creator A5009553266 @default.
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• W1978379968 date "1987-03-01" @default.
• W1978379968 modified "2023-09-23" @default.
• W1978379968 title "A comparison of techniques for evaluating hydrologic model uncertainty" @default.
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• W1978379968 doi "https://doi.org/10.1016/0266-8920(87)90028-2" @default.
• W1978379968 hasPublicationYear "1987" @default.
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