posted on 2017-02-01, 12:21authored byCristina Caballero-Megiddo, John HillierJohn Hillier, D. Wyncol, B. Gouldby, Lee 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.
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
2017-01-02
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.