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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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Sahel rainfall variability and response to greenhouse warming
The NCEP/NCAR re-analyses data as well as ensemble integrations with an atmospheric GCM indicate ...
RJ Haarsma, FM Selten, SL Weber, M Kliphuis | Status: published | Journal: Geophys. Res. Lett. | Volume: 32 | Year: 2005 | doi: 10.1029/2005GL023232
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Klimaatinformatie op maat
Folder over Klimaatinformatie op maat: enkele voorbeelden van klimaatmaatwerk
J Bessembinder, B Overbeek | Year: 2011
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Improving data and information exchange in the chain of climate research, impact research, to policy making
It is all too often difficult for a stakeholder to obtain an overview of available climate and im...
J Bessembinder, B Overbeek | Conference: Impacts World 2013, International Conference on Climate Change Effects | Place: Potsdam | Year: 2013 | First page: 0 | Last page: 0
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Autumn school ‘“Dealing with uncertainties in research for climate adaptation
Climate adaptation research inevitably involves uncertainty issues - whether
you build a model, u...
J Bessembinder, B Overbeek | Conference: Impacts World 2013, International Conference on Climate Change Effects, | Place: Potsdam | Year: 2013 | First page: 0 | Last page: 0
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