Use of spatially distributed water table observations to constrain uncertainty in a rainfall–runoff model
✍ Scribed by R. Lamb; K. Beven; S. Myrabø
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 355 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0309-1708
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✦ Synopsis
The Generalised Likelihood Uncertainty Estimation (GLUE) methodology is used to investigate how distributed water table observations modify simulation and parameter uncertainty for the hydrological model TOPMODEL, applied to the Saeternbekken Minifelt catchment in Norway. Errors in simulating observed flows, continuouslylogged borehole water levels and more extensive, spatially distributed water table depths are combined using Bayes' equation within a 'likelihood measure' L. It is shown how the distributions of L for the TOPMODEL parameters change as the different types of observed data are considered. These distributions are also used to construct corresponding simulation uncertainty bounds for flows, borehole water levels, and water table depths within the spatially-extensive piezometer network. Qualitatively wide uncertainty bounds for water table simulations are thought to be consistent with the simplified nature of the distributed model.