Discussion of "Modelling significant wave height distributions with quantile functions for estimation of extreme wave heights" [Ocean Eng. 54 (2012) 119-131]

The authors had applied four quantile functions Q(p), the Davies, GEV, GP3 and Weibull, to estimate extreme wave heights from significant wave height data collected every 3 h in Bengal Bay (1997-2005) and from daily maxima of significant wave data (1958-2001) hindcasted at four locations in the Nort...

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Bibliographic Details
Published in:Ocean Engineering
Main Authors: You, Zai-Jin, Callaghan, David
Format: Article in Journal/Newspaper
Language:English
Published: Pergamon 2013
Subjects:
Extreme waves
Storm waves
Quantile function
Gev
Weibull distribution
2212 Ocean Engineering
2305 Environmental Engineering
North Atlantic
Online Access:https://espace.library.uq.edu.au/view/UQ:308977
Description
Summary:The authors had applied four quantile functions Q(p), the Davies, GEV, GP3 and Weibull, to estimate extreme wave heights from significant wave height data collected every 3 h in Bengal Bay (1997-2005) and from daily maxima of significant wave data (1958-2001) hindcasted at four locations in the North Atlantic Ocean. The Davies quantile function in Eq. (5) of Muraleedharan et al. (2012) was selected by the authors as the best-fit function for estimation of extreme wave heights. This discussion is to comment on if the use of the Davies quantile function Q(p) can actually improve the accuracy of extreme wave heights estimated. For consistency, the notations used in this discussion will be the same as those defined by the authors. (C) 2013 Elsevier Ltd. All rights reserved.

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