Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning

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Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning

Numerical weather forecasts, such as meteorological forecasts of precipitation, are inherently uncertain. These uncertainties depend on model physics as well as initial and boundary conditions. Since precipitation forecasts form the input into hydrological models, the uncertainties of the precipitat...

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Bibliographic Details
Main Authors:	Doycheva, Kristina, Horn, Gordon, Koch, Christian, Schumann, Andreas, König, Markus
Format:	Article
Language:	English
Published:	Elsevier 2017
Subjects:	precipitation forecast supervised machine learning pattern recognition uncertainty
Online Access:	https://eprints.nottingham.ac.uk/38789/

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