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

Dawkins, Laura C.; Stephenson, David B.

doi:https://doi.org/10.5194/nhess-18-2933-2018

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

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Final revised paper (published on 08 Nov 2018)
Supplement to the final revised paper
Preprint (discussion started on 23 Apr 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of paper 'On the relevance of extremal dependence for spatial statistical modelling of natural hazards'', Anonymous Referee #1, 09 May 2018
- AC1: 'Response to Reviewer 1', Laura Dawkins, 10 Aug 2018
- AC3: 'Response to Reviewer 1: Plots', Laura Dawkins, 10 Aug 2018
RC2: 'Reviewer comments', Anonymous Referee #2, 16 May 2018
- AC2: 'Response to Reviewer 2', Laura Dawkins, 10 Aug 2018
RC3: 'Review of: "On the relevance of extremal dependence for spatial statistical modelling of natural hazards" by L. C. Dawkins and D. B. Stephenson', Anonymous Referee #3, 17 May 2018
- AC4: 'Response to Reviewer 3', Laura Dawkins, 10 Aug 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (06 Sep 2018) by Joaquim G. Pinto

AR by Laura Dawkins on behalf of the Authors (13 Sep 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 Sep 2018) by Joaquim G. Pinto

RR by Anonymous Referee #1 (20 Sep 2018)

RR by Anonymous Referee #3 (03 Oct 2018)

ED: Publish subject to minor revisions (review by editor) (03 Oct 2018) by Joaquim G. Pinto

AR by Anna Wenzel on behalf of the Authors (23 Oct 2018) Author's response Manuscript

ED: Publish as is (23 Oct 2018) by Joaquim G. Pinto

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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.