Statistical properties of coastal long waves analysed through sea-level  time-gradient functions: exemplary analysis of the  Siracusa, Italy, tide-gauge data

Bressan, L.; Tinti, S.

doi:https://doi.org/10.5194/nhess-16-223-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/nhess-16-223-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-223-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 1

Research article

|

21 Jan 2016

Research article |

| 21 Jan 2016

Statistical properties of coastal long waves analysed through sea-level time-gradient functions: exemplary analysis of the Siracusa, Italy, tide-gauge data

L. Bressan and S. Tinti

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Final revised paper (published on 21 Jan 2016)
Preprint (discussion started on 04 Sep 2015)

Interactive discussion

Status: closed

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

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RC C1916: 'Referee review of the research article submitted to NHESS, titled: ”Statistical properties of coastal long waves analysed through sea-level time-gradient functions: Exemplary analysis of the Siracusa, Italy, tide-gauge data” by L. Bressan and S. Tint', Sergiu Dov ROSEN, 06 Oct 2015
RC C1932: 'Review of nhess-2015-220 manucsript entitled "Statistical properties of coastal long waves analysed through sea-level time-gradient functions: Exemplary analysis of the Siracusa, Italy, tide-gauge data" by Bressan, L. and Tinti, S.', Anonymous Referee #2, 07 Oct 2015
AC C2325: 'Author's Reply to Referee 2', Stefano Tinti, 22 Nov 2015
AC C2326: 'Author's Reply to Referee 1', Stefano Tinti, 22 Nov 2015
AC C2327: 'Revised Version of the paper', Stefano Tinti, 22 Nov 2015

Short summary

A new method is presented to analyse coastal tide-gauge recordings in the period range typical of local seiches, coastal shelf resonances and tsunamis. The method computes the instantaneous slope IS, the reconstructed sea level (RSL), and the control function (CF), that are shown to follow the Student's t distribution (IS and RSL) and the Beta distribution (CF) functions. As an example, the method is applied to data from the tide-gauge station of Syracuse, Italy.