A statistical–parametric model of tropical  cyclones for hazard assessment

Arthur, William C.

doi:https://doi.org/10.5194/nhess-21-893-2021

Articles | Volume 21, issue 3

https://doi.org/10.5194/nhess-21-893-2021

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

Special issue:

Global- and continental-scale risk assessment for natural...

https://doi.org/10.5194/nhess-21-893-2021

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

Articles | Volume 21, issue 3

Research article

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10 Mar 2021

Research article | Highlight paper |

| 10 Mar 2021

A statistical–parametric model of tropical cyclones for hazard assessment

William C. Arthur

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Final revised paper (published on 10 Mar 2021)
Preprint (discussion started on 15 Oct 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer Comment', James Done, 11 Nov 2019
- AC1: 'Response to reviewer 1 specific comments', Craig Arthur, 24 Jul 2020
RC2: 'Review of "A Statistical-Parametric Model of Tropical Cyclones for Hazard Assessment", William C. Arthur', Anonymous Referee #2, 14 Nov 2019
- AC2: 'Response to reviewer 2 specific comments', Craig Arthur, 24 Jul 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) (14 Aug 2020) by Gregor C. Leckebusch

AR by Craig Arthur on behalf of the Authors (17 Sep 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (20 Oct 2020) by Gregor C. Leckebusch

RR by James Done (30 Oct 2020)

ED: Publish as is (26 Jan 2021) by Gregor C. Leckebusch

Short summary

We have developed a statistical–parametric model of tropical cyclones (TCs), to undertake hazard and risk assessments at continental scales. The model enables users to build an understanding of the likelihood and magnitude of TC-related wind speeds across full ocean basins but at a fine spatial resolution. The model can also be applied to single events, either scenarios or forecast events, to inform detailed impact assessments.