Print Email Facebook Twitter Feedback versus uncertainty Title Feedback versus uncertainty Author Van Nooyen, R.R.P. Hrachowitz, M. Kolechkina, A.G. Faculty Civil Engineering and Geosciences Department Water Management Date 2014-06-19 Abstract Even without uncertainty about the model structure or parameters, the output of a hydrological model run still contains several sources of uncertainty. These are: measurement errors affecting the input, the transition from continuous time and space to discrete time and space, which causes loss of information about the input, discretization of the model equations resulting in errors due to the discretization scheme and the use of finite precision calculations in model evaluation. Interval analysis can provide upper bounds on the output error due to all of these sources. This paper focuses on tracking uncertainty about input values and the effects of finite precision calculation. A conventional hydrological model was recoded in interval arithmetic and run with small, but non-zero uncertainty bounds on the input time series values to see whether the internal feedback loops would keep the output uncertainty bounded. Subject interval analysisconceptual modeluncertaintyfeedback To reference this document use: http://resolver.tudelft.nl/uuid:712e4b83-3b85-4ec2-9a16-f33004a57e13 ISBN 978-88-9035-744-2 Source In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. Part of collection Institutional Repository Document type conference paper Rights (c) The Proceedings of the 7th International Congress on Environmental Modelling and Software by Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.) is licensed under a Creative Commons Attribution 4.0 International License. This is a Free Culture License. Files PDF 306072.pdf 285.06 KB Close viewer /islandora/object/uuid:712e4b83-3b85-4ec2-9a16-f33004a57e13/datastream/OBJ/view