Ocean Science
Ocean Science
OS
Articles | Volume 16, issue 5
Articles | Volume 16, issue 5
https://doi.org/10.5194/os-16-1047-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-16-1047-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 5
Research article
 | 
11 Sep 2020
Research article |  | 11 Sep 2020

Variability of distributions of wave set-up heights along a shoreline with complicated geometry

Tarmo Soomere, Katri Pindsoo, Nadezhda Kudryavtseva, and Maris Eelsalu

Viewed

Total article views: 2,793 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,880 786 127 2,793 154 173
  • HTML: 1,880
  • PDF: 786
  • XML: 127
  • Total: 2,793
  • BibTeX: 154
  • EndNote: 173
Views and downloads (calculated since 16 Apr 2019)
Cumulative views and downloads (calculated since 16 Apr 2019)

Viewed (geographical distribution)

Total article views: 2,793 (including HTML, PDF, and XML) Thereof 2,459 with geography defined and 334 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
Extreme water levels are often created by several drivers with different properties. For example, the contribution from the water volume of the Baltic Sea follows a Gaussian distribution, but storm surges represent a Poisson process. We show that wave set-up heights (the third major component of high water levels) usually follow an exponential distribution and thus also represent a Poisson process. However, at some locations set-up heights better match an inverse Gaussian (Wald) distribution.
Read more
Share