Ensemble Prediction System (EPS) meteorological forecasts are increasingly being used as input to hydrological models in order to extend floodwarning leadtimes and to improve forecasts and the knowledge of their uncertainty. Probabilistic skill scores classically used in meteorology are usually also utilized for assessing the quality of hydrological ensemble forecasts. However, the different river discharge magnitudes can make difficult the interpretation and comparisons of these scores, as it is for the Continuous Rank Probability Score (CRPS). In this letter, a novel ‘Reduction’ CRPS (RCRPS), which takes into account the different river discharge magnitudes, is proposed, and its usefulness is exhibited.
TRINH Bao;
THIELEN DEL POZO Jutta;
THIREL Guillaume;
2013-06-26
WILEY-BLACKWELL
JRC76798
1530-261X,
http://onlinelibrary.wiley.com/doi/10.1002/asl2.417/abstract,
https://publications.jrc.ec.europa.eu/repository/handle/JRC76798,
10.1002/asl2.417,
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