Open Access Repository

Using global tide gauge data to validate and improve the representation of extreme sea levels in flood impact studies

Hunter, JR, Woodworth, PL, Wahl, T and Nicholls, RJ 2017 , 'Using global tide gauge data to validate and improve the representation of extreme sea levels in flood impact studies' , Global and Planetary Change, vol. 156 , pp. 34-45 , doi: 10.1016/j.gloplacha.2017.06.007.

Full text not available from this repository.

Abstract

The largest collection of tide gauge records assembled to date, called GESLA-2, has been used to provide reliable extreme sea level parameters at 655 locations around the world. This has enabled a rigorous assessment of the European Union-funded DINAS-COAST (D-C) data set of extreme sea level information for the global coastline that has been used in many published flood impact studies. We find the D-C extreme levels to be generally both too high, compared to those from GESLA-2, and too flat, when plotted as a function of return period. This leads to an over-estimation of the probability of extreme sea levels in the present day for most locations around the world, and also to an over-estimation of the probability of extreme sea levels in the future as sea level rises. A detailed impact study is conducted for the world's largest coastal cities following the approach of Hallegatte et al. (2013), resulting in similar conclusions for these particular locations. We suggest that most previous studies that have relied upon D-C information should be re-assessed in the light of these findings, using more recent modelling-based estimates of extreme sea level information.

Item Type: Article
Authors/Creators:Hunter, JR and Woodworth, PL and Wahl, T and Nicholls, RJ
Keywords: extreme sea level parameters, GESLA-2 tide gauge data set, DINAS-COAST data set, major coastal cities flood risk
Journal or Publication Title: Global and Planetary Change
Publisher: Elsevier Science Bv
ISSN: 0921-8181
DOI / ID Number: 10.1016/j.gloplacha.2017.06.007
Copyright Information:

Copyright 2017 Elsevier B.V.

Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page
TOP