Articles | Volume 16, issue 11
https://doi.org/10.5194/nhess-16-2391-2016
https://doi.org/10.5194/nhess-16-2391-2016
Research article
 | 
21 Nov 2016
Research article |  | 21 Nov 2016

An analysis of uncertainties and skill in forecasts of winter storm losses

Tobias Pardowitz, Robert Osinski, Tim Kruschke, and Uwe Ulbrich

Viewed

Total article views: 2,906 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,592 1,126 188 2,906 128 118
  • HTML: 1,592
  • PDF: 1,126
  • XML: 188
  • Total: 2,906
  • BibTeX: 128
  • EndNote: 118
Views and downloads (calculated since 05 Jul 2016)
Cumulative views and downloads (calculated since 05 Jul 2016)

Cited

Saved (final revised paper)

Latest update: 13 Dec 2024
Download
Short summary
This paper describes an approach to derive probabilistic predictions of local winter storm damage occurrences. Such predictions are subject to large uncertainty due to meteorological forecast uncertainty and uncertainties in modelling weather impacts. The paper aims to quantify these uncertainties and demonstrate that valuable predictions can be made on the district level several days ahead.
Altmetrics
Final-revised paper
Preprint