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Struggling with Epistemic Uncertainties in Environmental Modelling of Natural Hazards
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2014 (English)In: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, 2014, 13-22 p.Conference paper, Published paper (Refereed)
Abstract [en]

Epistemic uncertainties create difficulties for the quantitative estimation of uncertainties associated with environmental models. The nature of the issues involved is discussed, particularly in how to assign likelihood values to models when the forcing data and evaluation data might both be subject to epistemic uncertainties. A case study of a rainfall-runoff model of the River Brue catchment is developed with the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. Model evaluation is carried out using limits of acceptability set from considerations of the available data prior to running a model, while the errors associated with a model are treated non-parametrically for different parts of the hydrograph.

Place, publisher, year, edition, pages
2014. 13-22 p.
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-240397DOI: 10.1061/9780784413609.002ISBN: 978-0-7844-1360-9 (print)OAI: oai:DiVA.org:uu-240397DiVA: diva2:776432
Conference
Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA), July 13-16, 2014, Liverpool, UK
Available from: 2015-01-07 Created: 2015-01-07 Last updated: 2015-01-07Bibliographically approved

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Beven, Keith J.

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