Articles | Volume 17, issue 10
https://doi.org/10.5194/nhess-17-1795-2017
https://doi.org/10.5194/nhess-17-1795-2017
Research article
 | Highlight paper
 | 
19 Oct 2017
Research article | Highlight paper |  | 19 Oct 2017

Revisiting the synoptic-scale predictability of severe European winter storms using ECMWF ensemble reforecasts

Florian Pantillon, Peter Knippertz, and Ulrich Corsmeier

Viewed

Total article views: 3,843 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,582 1,044 217 3,843 110 142
  • HTML: 2,582
  • PDF: 1,044
  • XML: 217
  • Total: 3,843
  • BibTeX: 110
  • EndNote: 142
Views and downloads (calculated since 31 Mar 2017)
Cumulative views and downloads (calculated since 31 Mar 2017)

Viewed (geographical distribution)

Total article views: 3,843 (including HTML, PDF, and XML) Thereof 3,631 with geography defined and 212 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 Apr 2024
Download
Short summary
The predictability of 25 historical winter storms over Europe is revisited by taking advantage of a homogeneous dataset of retrospective forecasts for the 1995–2015 period. The forecasts well predict the storms up to 2–4 days ahead only but also show clear potential for the early warning of storms up to 10 days ahead. However, the predictability of individual storms exhibits large variability and physical characteristics are identified for outliers with a poor predictability.
Altmetrics
Final-revised paper
Preprint