Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 14
Articles | Volume 28, issue 14
https://doi.org/10.5194/hess-28-3191-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3191-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 14
Research article
 | 
23 Jul 2024
Research article |  | 23 Jul 2024

Scientific logic and spatio-temporal dependence in analyzing extreme-precipitation frequency: negligible or neglected?

Francesco Serinaldi

Viewed

Total article views: 3,128 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,454 576 98 3,128 253 117 161
  • HTML: 2,454
  • PDF: 576
  • XML: 98
  • Total: 3,128
  • Supplement: 253
  • BibTeX: 117
  • EndNote: 161
Views and downloads (calculated since 18 Dec 2023)
Cumulative views and downloads (calculated since 18 Dec 2023)

Viewed (geographical distribution)

Total article views: 3,128 (including HTML, PDF, and XML) Thereof 3,041 with geography defined and 87 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 May 2026
Download
Short summary
Neglecting the scientific rationale behind statistical inference leads to logical fallacies and misinterpretations. This study contrasts a model-based approach, rooted in statistical logic, with a test-based approach, widely used in hydro-climatology but problematic. It reveals the impact of dependence in extreme-precipitation analysis and shows that trends in the frequency of extreme events over the past century in various geographic regions can be consistent with the stationary assumption.
Read more
Share