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First 1857 results for ”Evert Wiegant”

1. 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

   Publication

2. 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

   Publication

3. 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

   Publication

4. Lower thermosphere–ionosphere (LTI) quantities: Current status of measuring techniques and models

   The lower-thermosphere–ionosphere (LTI) system consists of the upper atmosphere and the lower par...

   M Palmroth, M Grandin, T Sarris, E Doornbos, S Tourgaidis, A Aikio, S Buchert, M Clilverd | Status: submitted | Journal: Annales Geophysicae | Year: 2020 | doi: 10.5194/angeo-2020-42

   Publication

5. Global modeling of tropical cyclone storm surges using high-resolution forecasts

   We assess the suitability of ECMWF Integrated Forecasting System (IFS) data for the global modeli...

   N Bloemendaal, S Muis, RJ Haarsma, M Verlaan, MI Apecechea, H de Moel, PJ Ward, JCJH Aerts | Status: published | Journal: Clim. Dyn. | Year: 2019 | doi: 10.1007/s00382-018-4430-x

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