Scripts for creating the figures of "Extreme precipitation return levels for multiple durations on a global scale"
This contains the python scripts in order to recreate the figures of the manuscript: Gründemann, G. J., Zorzetto, E., Beck, H. E., Schleiss, M., Van de Giesen, N., Marani, M., & van der Ent, R. J. (2023). Extreme precipitation return levels for multiple durations on a global scale. Journal of Hydrology, 621, 129558.
- 2023-05-22 first online, published, posted
- 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
Centre for Hydrology, University of Saskatchewan, Canada;
Program in Atmospheric and Oceanic Sciences, Princeton University, USA;
King Abdullah University of Science and Technology (KAUST), Saudi Arabia;
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing;
Dipartimento di Ingegneria Civile, Edile ed Ambientale, Universita’ degli Studi di Padova, Italy;
Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia