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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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Evaluation of CMIP6 model simulations of PM2.5 and its components over China
Earth system models (ESMs) participating in the latest Coupled Model Intercomparison Project Phas...
F Ren, J Lin, C Xu, JA Adeniran, J Wang, RV Martin, A van Donkelaar, MS Hammer, LW Horowitz, ST Turnock, N Oshima, J Zhang, S Bauer, K Tsigaridis, Ø Seland, P Nabat, D Neubauer, G Strand, T van Noije, P Le Sager, T Takemura | Journal: Geosci. Model Dev. | Volume: 17 | Year: 2024 | First page: 4821 | Last page: 4836 | doi: 10.5194/gmd-17-4821-2024
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An Intercomparison of Precipitation Gauges at KNMI in De Bilt, Netherlands
The Royal Netherlands Meteorological Institute (KNMI) conducted an intercomparison of precipitati...
M. Quinlan | Year: 2024 | Pages: 19 p.
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KNMI'23 climate scenarios for the Netherlands: storyline scenarios of regional climate change
This paper presents the methodology for the construction of the KNMI'23 national climate scenario...
K van der Wiel, J Beersma, H van den Brink, F Krikken, F Selten, C Severijns, A Sterl, E van Meijgaard, T Reerink, R van Dorland | Journal: Earth's Future | Volume: 12 | Year: 2024 | First page: e2023EF003983 | doi: 10.1029/2023EF003983
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Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines
High impact events like Hurricane Sandy (2012) significantly affect society and decision-making a...
HMD Goulart, IB Lazaro, L van Garderen, K van der Wiel, D Le Bars, E Koks, B van den Hurk | Journal: Natural Hazards and Earth System Sciences | Volume: 24 | Year: 2024 | First page: 29 | Last page: 45 | doi: 10.5194/nhess-24-29-2024
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