Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 9
Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-2939-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2939-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 9
Research article
 | 
03 Sep 2024
Research article |  | 03 Sep 2024

Global estimates of 100-year return values of daily precipitation from ensemble weather prediction data

Florian Ruff and Stephan Pfahl

Viewed

Total article views: 4,969 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,607 1,184 178 4,969 379 196 311
  • HTML: 3,607
  • PDF: 1,184
  • XML: 178
  • Total: 4,969
  • Supplement: 379
  • BibTeX: 196
  • EndNote: 311
Views and downloads (calculated since 23 Oct 2023)
Cumulative views and downloads (calculated since 23 Oct 2023)

Viewed (geographical distribution)

Total article views: 4,969 (including HTML, PDF, and XML) Thereof 4,842 with geography defined and 127 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Jun 2026
Download
Short summary
High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
Read more
Share
Altmetrics
Final-revised paper
Preprint