Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3993-2022
https://doi.org/10.5194/nhess-22-3993-2022
Research article
 | 
14 Dec 2022
Research article |  | 14 Dec 2022

Skillful decadal prediction of German Bight storm activity

Daniel Krieger, Sebastian Brune, Patrick Pieper, Ralf Weisse, and Johanna Baehr

Viewed

Total article views: 1,889 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,444 377 68 1,889 67 62
  • HTML: 1,444
  • PDF: 377
  • XML: 68
  • Total: 1,889
  • BibTeX: 67
  • EndNote: 62
Views and downloads (calculated since 16 May 2022)
Cumulative views and downloads (calculated since 16 May 2022)

Viewed (geographical distribution)

Total article views: 1,889 (including HTML, PDF, and XML) Thereof 1,814 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Jun 2025
Download
Short summary
Accurate predictions of storm activity are desirable for coastal management. We investigate how well a climate model can predict storm activity in the German Bight 1–10 years in advance. We let the model predict the past, compare these predictions to observations, and analyze whether the model is doing better than simple statistical predictions. We find that the model generally shows good skill for extreme periods, but the prediction timeframes with good skill depend on the type of prediction.
Share
Altmetrics
Final-revised paper
Preprint