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First 527 results for ”AJ Heymsfield”

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. Weather-induced crop failure events under climate change: a storyline approach

   Unfavourable weather is a common cause for crop failures all over the world. Whilst extreme weath...

   H Goulart, K van der Wiel, C Folberth, J Balkovic, B van den Hurk | Journal: Earth System Dynamics | Volume: 12 | Year: 2021 | First page: 1503 | Last page: 1527 | doi: 10.5194/esd-12-1503-2021

   Publication

4. Hoe extreem was de droogte van 2018?

   In H2O Augustus 2019 Te downloaden/bekijken via: https://www.h2owaternetwerk.nl/vakartikele...

   Nienke Kramer, Marjolein Mens, Jules Beersma, Neeltje Kielen | Year: 2019

   Publication

5. 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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