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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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Implications of the KNMI'14 climate scenarios for the discharge of the Rhine and Meuse; comparison with earlier scenario studies
In this assessment we investigate potential changes in discharge for the rivers Meuse and Rhine d...
F Sperna Weiland, M Hegnauer, L Bouaziz, JJ Beersma | Year: 2015
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2Observation Representativeness Error
NWP models simulate the atmospheric state on a given model grid, thereby principally
limiting the...
GJ Marseille, A Stoffelen | Year: 2012
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Global Methane budget 2000-2012
The global methane (CH4) budget is becoming an increasingly important component for managing real...
M Saunois, M van Weele, Et al. | Status: published | Journal: Earth System Dynamics | Year: 2016 | doi: doi:10.5194/essd-8-697-2016
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Improving the GRADE weather generator by using synthetic datasets from RACMO and SEAS5.
The weather generator (WG) as currently used in GRADE1 shows several methodical imperfections, po...
L. van Voorst, H. van den Brink | Year: 2022 | Pages: 98
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