158 citations
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stat.ME2022
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets
Georgia Papacharalampous, Hristos Tyralis
Regression-based frameworks for streamflow regionalization are built around catchment attributes that traditionally originate from catchment hydrology, flood frequency analysis and…
stat.ME2022★ 19 cited
Hydrological post-processing for predicting extreme quantiles
Hristos Tyralis, Georgia Papacharalampous
Hydrological post-processing using quantile regression algorithms constitutes a prime means of estimating the uncertainty of hydrological predictions. Nonetheless, conventional lar…
stat.ME2019★ 45 cited
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
Georgia Papacharalampous, Hristos Tyralis, Demetris Koutsoyiannis +1
Predictive hydrological uncertainty can be quantified by using ensemble methods. If properly formulated, these methods can offer improved predictive performance by combining multip…