Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 12
Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-3993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 12
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: 1,603 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,228 319 56 1,603 48 47
  • HTML: 1,228
  • PDF: 319
  • XML: 56
  • Total: 1,603
  • BibTeX: 48
  • EndNote: 47
Views and downloads (calculated since 16 May 2022)
Cumulative views and downloads (calculated since 16 May 2022)

Viewed (geographical distribution)

Total article views: 1,603 (including HTML, PDF, and XML) Thereof 1,537 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
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.
Read more
Altmetrics
Final-revised paper
Preprint