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: 10.4121/12764429

Gruendemann, Gaby; Zorzetto, Enrico; Beck, Hylke; Schleiss, Marc; Giesen, Nick Van de et. al. (2021): GPEX: Global Precipitation EXtremes. Version 4. 4TU.ResearchData. dataset. https://doi.org/10.4121/12764429.v4

Dataset

x choose version: version 3 - 2021-04-21 version 2 - 2021-04-20 version 1 - 2020-08-11

• Civil Engineering
• Natural Hazards
• Atmosphere and Weather

extreme value analysis, extreme value distributions, Global Precipitation EXtremes (GPEX), hydrology, precipitation extremes

CC BY 4.0

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

by Gaby Gründemann , Enrico Zorzetto, Hylke Beck, Marc Schleiss, Nick Van de Giesen, Marco Marani, Ruud van der Ent

This data was used for the manuscript: Extreme Precipitation Return Levels for Multiple Durations on a Global Scale, Gründemann et al., 2021. This file contains global estimates of extreme precipitation using three extreme value distributions (GEV, POT and MEV) for eight durations (3 hours - 10 days).

• 2020-08-11 first online

• 2021-08-30 published, posted

4TU.ResearchData

media types: application/x-netcdf, application/zip

• Unravelling the moisture sources in precipitation extremes worldwide (grant code 016.Veni.181.015) [more info...] Dutch Research Council
• NASA Earth and Space Science Fellowship 19-EARTH19R- 27
• U.S. Army Corps of Engineers' International Center for Integrated Water Resources Management (ICIWaRM)
• Transforming Weather Water data into value-added Information services for sustainable Growth in Africa (grant code 776691) [more info...] European Commission

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management