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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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A seven-fold rise in the probability of exceeding the observed hottest summer in India in a 2°C warmer world
Heatwaves and extreme temperatures during summer (April-May) in India have profound implications ...
JS Nanditha, K van der Wiel, U Bhatia, D Stone, FM Selten, V Mishra | Status: published | Journal: Environ Res Lett | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/ab7555
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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 the Vaisala FD12P 1.91S firmware with insect filtering
A so-called transmissometer (TMM) measures the extinction of a light beam over an atmospheric pat...
Wiel Wauben | Year: 2011 | Pages: 58
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Evaluation of the Nubiscope
Cloud observations are performed routinely for synoptic and aeronautical purposes (WMO, 1996; ICA...
Wiel Wauben | Year: 2006 | Pages: 46
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