Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 11
Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-4091-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-4091-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 11
Research article
 | 
27 Nov 2024
Research article |  | 27 Nov 2024

A multivariate statistical framework for mixed storm types in compound flood analysis

Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini

Viewed

Total article views: 1,358 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,052 256 50 1,358 70 33 34
  • HTML: 1,052
  • PDF: 256
  • XML: 50
  • Total: 1,358
  • Supplement: 70
  • BibTeX: 33
  • EndNote: 34
Views and downloads (calculated since 13 May 2024)
Cumulative views and downloads (calculated since 13 May 2024)

Viewed (geographical distribution)

Total article views: 1,358 (including HTML, PDF, and XML) Thereof 1,320 with geography defined and 38 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Mar 2025
Download
Short summary
When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Read more
Share
Altmetrics
Final-revised paper
Preprint