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Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model.

Lamb, R. and Beven, Keith J. and Myrabø, S. (1998) Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model. Advances in Water Resources, 22 (4). pp. 305-317.

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Abstract

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 Sæternbekken Minifelt catchment in Norway. Errors in simulating observed flows, continuously-logged 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.

Item Type: Article
Journal or Publication Title: Advances in Water Resources
Uncontrolled Keywords: distributed hydrological models ; TOPMODEL ; uncertainty ; water table predictions
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 21837
Deposited By: ep_ss_importer
Deposited On: 09 Feb 2009 11:57
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:52
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/21837

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