Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 11
Articles | Volume 25, issue 11
https://doi.org/10.5194/nhess-25-4545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-4545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 11
Research article
 | 
17 Nov 2025
Research article |  | 17 Nov 2025

Automated tail-informed threshold selection for extreme coastal sea levels

Thomas P. Collings, Callum J. R. Murphy-Barltrop, Conor Murphy, Ivan D. Haigh, Paul D. Bates, and Niall D. Quinn

Viewed

Total article views: 1,897 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,627 221 49 1,897 49 57
  • HTML: 1,627
  • PDF: 221
  • XML: 49
  • Total: 1,897
  • BibTeX: 49
  • EndNote: 57
Views and downloads (calculated since 06 May 2025)
Cumulative views and downloads (calculated since 06 May 2025)

Viewed (geographical distribution)

Total article views: 1,897 (including HTML, PDF, and XML) Thereof 1,815 with geography defined and 82 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jan 2026
Download
Short summary
Determining the threshold above which events are considered extreme is an important consideration for many modelling procedures. We propose an extension of an existing data-driven method for automatic threshold selection. We test our approach on tide gauge records, and show that it outperforms existing techniques. This helps improve estimates of extreme sea levels, and we hope other researchers will use this method for other natural hazards.
Read more
Share
Altmetrics
Final-revised paper
Preprint