Estimates of tropical cyclone geometry parameters  based on best-track data

Nederhoff, Kees; Giardino, Alessio; van Ormondt, Maarten; Vatvani, Deepak

doi:https://doi.org/10.5194/nhess-19-2359-2019

Articles | Volume 19, issue 11

https://doi.org/10.5194/nhess-19-2359-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-2359-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 11

Research article

|

30 Oct 2019

Research article |

| 30 Oct 2019

Estimates of tropical cyclone geometry parameters based on best-track data

Kees Nederhoff, Alessio Giardino, Maarten van Ormondt, and Deepak Vatvani

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Final revised paper (published on 30 Oct 2019)
Preprint (discussion started on 27 May 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer's comments', Anonymous Referee #1, 07 Jul 2019
- AC1: 'Rebuttal letter manuscript “Estimates of tropical cyclone geometry parameters based on best track data”', Nederhoff Kees, 21 Sep 2019
RC2: 'comment to the author', Anonymous Referee #2, 15 Aug 2019
- AC2: 'Rebuttal letter manuscript “Estimates of tropical cyclone geometry parameters based on best track data”', Nederhoff Kees, 21 Sep 2019
AC3: 'Revised paper (in track-changes)', Nederhoff Kees, 21 Sep 2019
- AC4: 'Revised paper (clean version)', Nederhoff Kees, 01 Oct 2019

Peer-review completion

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

ED: Publish subject to technical corrections (01 Oct 2019) by Gregor C. Leckebusch

AR by Nederhoff Kees on behalf of the Authors (03 Oct 2019) Author's response Manuscript

Short summary

Tropical cyclone wind models are often used in engineering applications. However, these models lack the required accuracy when the size of the tropical cyclone is not known. In this paper, new relationships are derived to describe parameters affecting the size. These relationships are formulated using observed data and make it possible to estimate tropical cyclone size and to use this information in tropical cyclone wind models to obtain more reliable estimates of the tropical cyclone winds.