The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20531376

Gruendemann, Gaby; van de Giesen, N.C. (Nick); Brunner, Lukas; van der Ent, R.J. (Ruud) (2022): Scripts and data for "Rarest rainfall events will see the greatest relative increase in magnitude under future climate change". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20531376.v1

Dataset

• Civil Engineering
• Natural Hazards
• Atmosphere and Weather

Climate Change, CMIP6, Extreme Value Analysis, Future Change, Hydrology, Precipitation Extreme Events, Precipitation Extremes

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CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Gaby Gründemann , N.C. (Nick) van de Giesen , Lukas Brunner , R.J. (Ruud) van der Ent

This dataset contains the python scripts and data (netcdf and csv) to recreate the figures of the manuscript: Gründemann, GJ, van de Giesen, N, Brunner, L, and van der Ent, R (2022). Rarest rainfall events will have the greatest relative increase in magnitude under future climate change. Nature Communications Earth and Environment 3, 235. https://doi.org/10.1038/s43247-022-00558-8. 

• 2022-12-23 first online, published, posted

4TU.ResearchData

csv, netcdf, python scripts

Rarest rainfall events will see the greatest relative increase in magnitude under future climate change

• Transforming Weather Water data into value-added Information services for sustainable Growth in Africa (grant code 776691) [more info...] European Commission
• European Climate Prediction system (grant code 776613) [more info...] European Commission
• Unravelling the moisture sources in precipitation extremes worldwide (grant code 016.Veni.181.015) [more info...] Dutch Research Council

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management
Centre for Hydrology, University of Saskatchewan
Institute for Atmospheric and Climate Service, ETH Zurich
Department of Meteorology and Geophysics, University of Vienna