Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning
(2016)
Journal Article
Doycheva, K., Horn, G., Koch, C., Schumann, A., & König, M. (2017). Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning. Advanced Engineering Informatics, 33, 427-439. https://doi.org/10.1016/j.aei.2016.11.001
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 hydrol... Read More about Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning.