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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Geosciences Union (EGU)
2012
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| Online Access: | http://eprints.nottingham.ac.uk/28051/ http://eprints.nottingham.ac.uk/28051/ http://eprints.nottingham.ac.uk/28051/ http://eprints.nottingham.ac.uk/28051/1/hess-16-3049-2012.pdf |