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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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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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Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets
This paper evaluates and discusses the quality of the stratospheric ozone analyses delivered in n...
K Lefever, RJ van der A, F Baier, Y Christophe, Q Errera, HJ Eskes, J Flemming, A Inness, L Jones, JC Lambert, B Langerock, MG Schultz, O Stein, A Wagner, S Chabrillat | Status: published | Journal: Atm. Chem. Phys. | Volume: 15 | Year: 2015 | First page: 2269 | Last page: 2293 | doi: 10.5194/acp-15-2269-2015
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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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