Ideal point error for model assessment in data-driven river flow forecasting

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Ideal point error for model assessment in data-driven river flow forecasting

When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistency in evaluation, making studies undertaken by dif...

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Bibliographic Details
Main Authors:	Dawson, C.W, Mount, Nick J., Abrahart, R.J, Shamseldin, A.Y.
Format:	Article
Published:	European Geosciences Union (EGU) 2012
Online Access:	https://eprints.nottingham.ac.uk/28051/

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