Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2933-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2933-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
Research article
 | 
08 Nov 2018
Research article |  | 08 Nov 2018

Quantification of extremal dependence in spatial natural hazard footprints: independence of windstorm gust speeds and its impact on aggregate losses

Laura C. Dawkins and David B. Stephenson

Viewed

Total article views: 3,050 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,812 1,042 196 3,050 120 86 91
  • HTML: 1,812
  • PDF: 1,042
  • XML: 196
  • Total: 3,050
  • Supplement: 120
  • BibTeX: 86
  • EndNote: 91
Views and downloads (calculated since 23 Apr 2018)
Cumulative views and downloads (calculated since 23 Apr 2018)

Viewed (geographical distribution)

Total article views: 3,050 (including HTML, PDF, and XML) Thereof 2,662 with geography defined and 388 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 Nov 2024
Download
Short summary
Natural hazard losses are sensitive to the dependency between extreme values of the hazard variable at different spatial locations. It is therefore important to correctly identify and quantify dependency to accurately model the hazard and its resulting losses. Through application to a large data set of windstorm hazard footprints, this study demonstrates how extreme-value methods can be used to explore extremal dependency and hazard losses in very high dimensional natural hazard data sets.
Read more
Altmetrics
Final-revised paper
Preprint