The use of historical information for regional frequency analysis of extreme skew surge

Frau, Roberto; Andreewsky, Marc; Bernardara, Pietro

doi:https://doi.org/10.5194/nhess-18-949-2018

Articles | Volume 18, issue 3

https://doi.org/10.5194/nhess-18-949-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-949-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Research article

|

26 Mar 2018

Research article |

| 26 Mar 2018

The use of historical information for regional frequency analysis of extreme skew surge

Roberto Frau, Marc Andreewsky, and Pietro Bernardara

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Final revised paper (published on 26 Mar 2018)
Preprint (discussion started on 02 Nov 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 30 Nov 2017
- AC1: 'Reply to Referee #1', Roberto Frau, 18 Dec 2017
RC2: 'review', Anonymous Referee #2, 07 Dec 2017
- AC2: 'Reply to Referee #2', Roberto Frau, 18 Dec 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (08 Jan 2018) by Ira Didenkulova

AR by Roberto Frau on behalf of the Authors (10 Jan 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Jan 2018) by Ira Didenkulova

RR by Anonymous Referee #1 (16 Jan 2018)

Suggestions for revision or reasons for rejection

The authors have greatly improved the clarity of their approach and the method used within the revised manuscript. There is also a much better use of figures and tables within section 3 to illustrate the approach. It is now ready for publication following minor edits to improve the English. A few suggestions are below:

Title: ‘information for regional’
Abstract: insert (RFA) after first mentioning Regional Frequency Analysis (L2).
P1 L31, insert (EVT) at this point and use EVT throughout manuscript (e.g., P4 L21)
P2 L3: RFA – the full name is required on first use followed by (RFA).
P2 L14: ‘evaluation of the return periods of extreme events’ might read better.
P2 L24: ‘The proposed FAB method (a declination of RFA using credible duration) allows the estimate of reliable…’
P2 L34: ‘During extreme storms,….and so this kind of event cannot always be detected.’
P3 L3: ‘A historical event’
P3 L11: ‘data points, the duration’
P4 L15: Use RFA.
P4 L21: Use EVA, the abbreviation should be introduced on P!, see comment above.
P4 L24: add POT after Peak-Over-Threshold as POT used in the text later.
P5+: Check the journal stype should variables and parameters be presented in italic in the text, e.g., d, n,…
P7 L11: ‘2014b), for the generic RFA approach, which is….’
P9 sub title: ‘Application of the FAB method to a real dataset’
P13 L2: ‘The application of the FAB method….allows more reliable ….levels to be obtained thanks to….’
P13 L5: ‘reliability of estimations’
P13 L8: ‘that is based on’
P13 L12: ‘can also be applied for’
P13 L13-14: I’m not sure what is being expanded. Is it the credible duration to a regional scale or is it simply the concept of the credible duration?
‘This novelty allows the expansion of the credible duration concept to a regional scale’
Or
‘This novelty allows the expansion of the credible duration concept at a regional scale’
P13 L14: ‘The RAF is another’
P13 L22: ‘in order to get increasingly more reliable extreme estimations and,’
P13 L24: ‘ estimations by using historic data that is becoming increasingly more available through different investigations of …’

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RR by Anonymous Referee #2 (29 Jan 2018)

ED: Publish subject to minor revisions (review by editor) (03 Feb 2018) by Ira Didenkulova

AR by Roberto Frau on behalf of the Authors (08 Feb 2018) Author's response Manuscript

ED: Publish as is (27 Feb 2018) by Ira Didenkulova

Short summary

The use of historical data in a regional analysis can reduce the uncertainties in extreme quantile's estimation. Historical data are significant extreme events that are not recorded by tide gauge. They usually look like isolated data and they are different from continuous data from systematic measurements of tide gauges. Thanks to the use of the credible duration concept, the proposed FAB method allows the use of historical data together with systematic data in a regional framework.