Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 12
Articles | Volume 23, issue 12
https://doi.org/10.5194/nhess-23-3685-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3685-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 12
Research article
 | 
30 Nov 2023
Research article |  | 30 Nov 2023

Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information

Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando Javier Méndez, and Jürgen Jensen

Viewed

Total article views: 4,031 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,877 968 186 4,031 231 328
  • HTML: 2,877
  • PDF: 968
  • XML: 186
  • Total: 4,031
  • BibTeX: 231
  • EndNote: 328
Views and downloads (calculated since 12 Jun 2023)
Cumulative views and downloads (calculated since 12 Jun 2023)

Viewed (geographical distribution)

Total article views: 4,031 (including HTML, PDF, and XML) Thereof 3,923 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 Aug 2026
Download
Short summary
Efficient adaptation planning for coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone are often insufficient for providing the desired accuracy but may be supplemented with historical information. We estimate extreme sea levels along the German Baltic coast and show that relying solely on tide-gauge data leads to underestimations. Incorporating historical information leads to improved estimates with reduced uncertainties.
Read more
Share
Altmetrics
Final-revised paper
Preprint