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First 2359 results for ” M de Wit”

1. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

   Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

   SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

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2. Klimaatverandering en de afvoer van de Rijn en Maas

   De gevolgen van klimaatverandering voor de rivierafvoeren van de Rijn en Maas onder de KNMI'06 sc...

   M de Wit, H Buiteveld, W van Deursen, F Keller, J Bessembinder | Journal: Stromingen | Volume: 14 | Year: 2008 | First page: 13 | Last page: 24

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3. Estimation extreme floods of the river Meuse using a stochastic weather generator and a rainfall-runoff model

   A stochastic weather generator has been developed to simulate long daily sequences of rainfall an...

   R Leander, TA Buishand, MJM de Wit, P Aalders | Status: published | Journal: Hydrological Sciences Journal | Volume: 50 | Year: 2005 | First page: 1089 | Last page: 1103

   Publication

4. Application of a weather generator to simulate extreme river discharges in the Rhine and Meuse basins

   Flood protection along the main rivers in the Netherlands is based on design discharges with an e...

   R Leander, H Buiteveld, MJM de Wit, TA Buishand | Conference: NCR dagen | Place: Wageningen | First page: 0 | Last page: 0

   Publication

5. Spatial extrapolation of lysimeter results using thermal infrared imaging

   Measuring evaporation (E) with lysimeters is costly and prone to numerous errors. By comparing th...

   BR Voortman, FC Bosveld, RP Bartholomeus, JPM Witte | Status: published | Journal: J. Hydrol. | Volume: 543 | Year: 2016 | First page: 230 | Last page: 241 | doi: 10.1016/j.jhydrol.2016.09.064

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