Research output: Contribution to Journal/Magazine › Journal article › peer-review
Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model. / Lamb, Rob; Beven, Keith; Myrabo, S.
In: Advances in Water Resources, Vol. 22, No. 4, 20.10.1998, p. 305-317.Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Use of spatially distributed water table observations to constrain uncertainty in a rainfall-runoff model
AU - Lamb, Rob
AU - Beven, Keith
AU - Myrabo, S.
PY - 1998/10/20
Y1 - 1998/10/20
N2 - 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.
AB - 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.
KW - distributed hydrological models
KW - TOPMODEL
KW - uncertainty
KW - water table predictions
KW - CALIBRATION
KW - PREDICTION
U2 - 10.1016/S0309-1708(98)00020-7
DO - 10.1016/S0309-1708(98)00020-7
M3 - Journal article
VL - 22
SP - 305
EP - 317
JO - Advances in Water Resources
JF - Advances in Water Resources
SN - 0309-1708
IS - 4
ER -