Christopher J. Hutton

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Reproducibility and repeatability of experiments are the fundamental prerequisites that allow researchers to validate results and share hydrological knowledge, experience and expertise in the light of global water management problems. Virtual laboratories offer new opportunities to enable these prerequisites since they allow experimenters to share data,(More)
Graphical Abstract Highlights • A new methodology is presented for development of water demand forecasting models • An iterative Bayesian method is used to diagnose and reduce model structural error • Statistical coverage of the prediction bounds is used to evaluate model performance • Heavy tailed error model better captures time varying nature of demand(More)
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