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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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Validation of hourly precipitation extremes in the Regional Atmospheric Climate Model (RACMO) for the Netherlands and surrounding regions
Hourly precipitation extremes in the Regional Atmospheric Climate Model (RACMO) are validated for...
Sebastiaan de Haas, Leon van Voorst, Henk van den Brink | Year: 2025 | Pages: 36
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Severe wind gust thresholds for Meteoalarm derived from uniform return periods in ECA&D
This study presents guidelines for wind gust warning thresholds in Meteoalarm, the severe weather...
A Stepek, IL Wijnant, G van der Schrier, EJM van den Besselaar, AMG Klein Tank | Conference: 13th International Conference on Wind Engineering | Place: Amsterdam | Year: 2011 | First page: 0 | Last page: 0
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Probability of Cb and Tcu occurrence based upon radar and satellite observations
The detection of Cumulonimbi (Cb) and towering cumuli (Tcu) is relevant for aviation as
they are ...
Paul de Valk and Rudolf van Westrhenen | Year: 2010 | Pages: 60
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Detection of Cb and TCu clouds using MSG-SEVIRI cloud physical properties and weather radar observations
Deep convective clouds, such as Towering Cumulus (TCu) and Cumulonimbus (Cb) clouds, may pose a s...
CK Carbajal Henken, MJ Schmeits, ELA Wolters, RA Roebeling | Year: 2009 | Pages: 0
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