Regional tropical cyclone impact functions for globally consistent risk assessments

Eberenz, Samuel; Lüthi, Samuel; Bresch, David N.

doi:https://doi.org/10.5194/nhess-21-393-2021

Articles | Volume 21, issue 1

https://doi.org/10.5194/nhess-21-393-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-393-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 1

Research article

|

29 Jan 2021

Research article |

| 29 Jan 2021

Regional tropical cyclone impact functions for globally consistent risk assessments

Samuel Eberenz, Samuel Lüthi, and David N. Bresch

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Final revised paper (published on 29 Jan 2021)
Supplement to the final revised paper
Preprint (discussion started on 26 Aug 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'TC damages', Anonymous Referee #1, 04 Sep 2020
- AC1: 'Response to referee', Samuel Eberenz, 20 Oct 2020
RC2: 'Review', Andrew Gettelman, 14 Sep 2020
- AC2: 'Response to referee', Samuel Eberenz, 22 Oct 2020

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (02 Nov 2020) by Paolo Tarolli

AR by Samuel Eberenz on behalf of the Authors (04 Nov 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (10 Nov 2020) by Paolo Tarolli

RR by Anonymous Referee #1 (13 Nov 2020)

RR by Andrew Gettelman (23 Nov 2020)

ED: Publish subject to minor revisions (review by editor) (29 Nov 2020) by Paolo Tarolli

AR by Samuel Eberenz on behalf of the Authors (30 Nov 2020) Author's response Manuscript

ED: Publish as is (17 Dec 2020) by Paolo Tarolli

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Short summary

Asset damage caused by tropical cyclones is often computed based on impact functions mapping wind speed to damage. However, a lack of regional impact functions can lead to a substantial bias in tropical cyclone risk estimates. Here, we present regionally calibrated impact functions, as well as global risk estimates. Our results are relevant for researchers, model developers, and practitioners in the context of global risk assessments, climate change adaptation, and physical risk disclosure.