Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 4
Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-1159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-1159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 4
Research article
 | 
28 Feb 2025
Research article |  | 28 Feb 2025

Non-asymptotic distributions of water extremes: much ado about what?

Francesco Serinaldi, Federico Lombardo, and Chris G. Kilsby

Viewed

Total article views: 4,198 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,111 867 220 4,198 132 195
  • HTML: 3,111
  • PDF: 867
  • XML: 220
  • Total: 4,198
  • BibTeX: 132
  • EndNote: 195
Views and downloads (calculated since 18 Oct 2023)
Cumulative views and downloads (calculated since 18 Oct 2023)

Viewed (geographical distribution)

Total article views: 4,198 (including HTML, PDF, and XML) Thereof 4,056 with geography defined and 142 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 Oct 2026
Download
Short summary
Non-asymptotic probability distributions of block maxima (BM) have been proposed as an alternative to asymptotic distributions from classic extreme-value theory. We show that the non-asymptotic models are unnecessary and redundant approximations of the corresponding parent distributions, which are readily available, are not affected by serial dependence, have simpler expression, and describe the probability of all quartiles of the process of interest and not only the probability of BM. 
Read more
Share