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Towards a limits of acceptability approach to the calibration of hydrological models : extending observation error.

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>30/03/2009
<mark>Journal</mark>Journal of Hydrology
Issue number1-2
Number of pages11
Pages (from-to)93-103
<mark>Original language</mark>English


Within the GLUE methodology, there are a number of advantages of taking a limits of acceptability approach to model evaluation for non-ideal applications where the strong assumptions of statistical identification might be difficult to justify. However, there is a question of how the limits of acceptability might be specified in a way that reflects the different sources of uncertainty in the modeling process. Here, a novel method for identifying behavioural models in an extended GLUE methodology is developed and applied to an application of Dynamic TOPMODEL to the Attert catchment in Luxemburg with semi-distributed inputs to nested sub-catchments. The results raise some important issues about testing model structures as hypotheses of catchment responses.