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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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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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D3.4 REPORT ON INVERSIONS FOR WIND FIELD DERIVATION/ IMPROVEMENT
Infrasound recordings in the 0.1 to 4 Hz band as input of inversion procedures to delineate the v...
J Assink, A Le Pichon, F Baier, PSM Smets | Year: 2014
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GRADE Uncertainty Analysis
Summary
A main purpose in a frequency or extreme value analysis is to obtain an estimate for some...
HFP van den Boogaard, M Hegnauer, JJ Beersma | Year: 2014
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Model inter-comparison on transport and chemistry – report on model inter-comparison performed within European Commission FP5 project EVERGREEN (Global satellite observation of greenhouse gas emissions)
A comprehensive inter-comparison of 5 atmospheric chemistry transport models (TM5, TM4, TM3, IMAG...
P Bergamaschi, JF Meirink, et al. | Year: 2006
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