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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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KNMI contribution to the European project WRINCLE: downscaling relationships for precipitation for several European sites
Statistical downscaling of precipitation refers to statistical techniques that have been used to ...
BR Beckmann, TA Buishand | Year: 2001
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Field test of the Jenoptik SHM30 laser snow depth sensor
Since the automation of the meteorological observation network in the Netherlands in 2002, snow d...
MJ de Haij | Year: 2011 | Pages: 35
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Extreme April heat in Spain, Portugal, Morocco & Algeria almost impossible without climate change
https://doi.org/10.25561/103833
Main findings
• Heatwaves are amongst the deadliest natural h...
Sjoukje Philip, Sarah Kew, Robert Vautard, M Vahlberg, R Singh, F Driouech, R Lguensat, C Barnes, F Otto | Year: 2023
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A compound event framework for understanding extreme impacts
Climate and weather related events such as flooding, wildfires and cyclones pose significant risk...
M Leonard, S Westra, A Patak, M Lambert, B van den Hurk, K McCinness, J Risbey | Status: published | Journal: Wiley Interdisciplinary Reviews | Volume: 5 | Year: 2014 | First page: 113 | Last page: 128 | doi: 10.1002/wcc.252
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