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scopus(4)
Fighting big data and ensemble fatigue in climate change impact studies: Can we turn the ensemble cascade upside down?
ArticleAbstract: Climate change impact modellers consider the availability of large ensembles of climate model resultPalabras claves:bias, Clustering, inter-dependence, perfect pbkp_redictor experiment, Skill, Statistical downscaling, ValidationAutores:De Niel J., Meert P., Patrick Willems, Van Uytven E., Wolfs V.Fuentes:scopusSpatially Distributed Conceptual Hydrological Model Building: A Generic Top-Down Approach Starting From Lumped Models
ArticleAbstract: Changing environmental conditions might have severe impacts on future flood frequencies and water avPalabras claves:Autores:De Niel J., Patrick Willems, Tran Q.Q.Fuentes:scopusUncertainty Analysis of Climate Change Impact on River Flow Extremes Based on a Large Multi-Model Ensemble
ArticleAbstract: Water managers are faced with a changing climate in the decision-making process while adaptation andPalabras claves:Anova, CMIP5, hydrological extremes, Rainfall-runoff model, UNCERTAINTYAutores:De Niel J., Patrick Willems, Van Uytven E.Fuentes:scopusUncovering the shortcomings of a weather typing method
ArticleAbstract: In recent years many methods for statistical downscaling of the precipitation climate model outputsPalabras claves:Autores:De Niel J., Patrick Willems, Van Uytven E.Fuentes:scopus