Impact of bias nonstationarity on the performance of uni-and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium J Van de Velde, M Demuzere, B De Baets, NEC Verhoest Hydrology and Earth System Sciences 26 (9), 2319-2344, 2022 | 17 | 2022 |
Impact of bias nonstationarity on the performance of uni-and multivariate bias-adjusting methods J Van de Velde, M Demuzere, B De Baets, NEC Verhoest Hydrology and Earth System Sciences Discussions 2020, 1-47, 2020 | 5 | 2020 |
Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J Van de Velde, M Demuzere, B De Baets, N Verhoest Hydrological Sciences Journal, 2022 | 4 | 2022 |
Bias adjustment of climate model outputs for the stochastic generation of meteorological variables and river discharge J Van de Velde Ghent University, 2022 | | 2022 |
Exploring the effect of occurrence-bias-adjustment assumptions on hydrological impact modeling J Van de Velde, M Demuzere, B De Baets, NEC Verhoest Water 13 (11), 1573, 2021 | | 2021 |
Comparison of univariate and multivariate bias-adjusting methods for hydrological impact assessment under climate change conditions J Van de Velde, B De Baets, M Demuzere, N Verhoest EGU General Assembly Conference Abstracts, 17387, 2020 | | 2020 |
EEN VERGELIJKENDE STUDIE VAN ALTERNATIEVE RETOURPERIODES VOOR HYDRAULISCH ONTWERP J Van de Velde | | |