Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 9
Articles | Volume 30, issue 9
https://doi.org/10.5194/hess-30-2637-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-2637-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 9
Research article
 | 
06 May 2026
Research article |  | 06 May 2026

Return period analysis of weakly non-stationary processes with trends

Giulio Calvani and Paolo Perona

Viewed

Total article views: 1,377 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
898 396 83 1,377 47 75
  • HTML: 898
  • PDF: 396
  • XML: 83
  • Total: 1,377
  • BibTeX: 47
  • EndNote: 75
Views and downloads (calculated since 15 Jan 2026)
Cumulative views and downloads (calculated since 15 Jan 2026)

Viewed (geographical distribution)

Total article views: 1,377 (including HTML, PDF, and XML) Thereof 1,374 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Jun 2026
Download
Short summary
Traditional analysis of extremes often relies on complex tools when the statistics change over time. We developed a novel, efficient framework based on a maximum return period change over a specific timeframe. Simple formulas are derived to determine the variation in average frequency and magnitude of events. The approach has minor approximations compared to more complex methods, thus providing a reliable tool for practitioners to forecast risk assessment under changing environmental conditions.
Read more
Share