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Technical Note: Comparison of methods for threshold selection for extreme sea levels

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journal contribution
posted on 01.02.2017, 12:21 by Cristina Caballero-Megiddo, John HillierJohn Hillier, D. Wyncol, B. Gouldby, Lee BosherLee Bosher
Extreme value analysis is an important tool for studying coastal flood risk, but requires the estimation of a threshold to define an ‘extreme’, which is traditionally undertaken visually. Such subjective judgement is not accurately reproducible, so recently a number of quantitative approaches have been proposed. This paper therefore reviews existing methods, illustrated with coastal tide-gauge data and the Generalized Pareto Distribution, and proposes a new automated method that mimics the enduringly popular visual inspection method. In total five different types of statistical threshold selection and their variants are evaluated by comparison to manually derived thresholds, demonstrating that the new method is a useful, complementary tool.

History

School

  • Social Sciences

Department

  • Geography and Environment

Published in

Journal of Flood Risk Management

Citation

CABALLERO-MEGIDDO, C. ...et al., 2017. Technical Note: Comparison of methods for threshold selection for extreme sea levels. Journal of Flood Risk Management, 11 (2), pp.127-140.

Publisher

© The Chartered Institution of Water and Environmental Management (CIWEM). Published by Wiley

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

02/01/2017

Publication date

2017

Notes

This is the pre-peer reviewed version of the following article: CABALLERO-MEGIDDO, C. ...et al., 2017. Technical Note: Comparison of methods for threshold selection for extreme sea levels. Journal of Flood Risk Management, In Press, which has been published in final form at http://dx.doi.org/10.1111/jfr3.12296. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

ISSN

1753-318X

Language

en

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