Trend estimation in extremes of synthetic North Sea surges

Butler, A.; Hefernan, J. E.; Tawn, J.A.; Flather, R. A.. 2007 Trend estimation in extremes of synthetic North Sea surges. Journal of the Royal Statistical Society, Series C - Applied Statistics, 56 (4). 395-414.

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Abstract/Summary

Mechanistic models for complex atmospheric and hydrological processes are often used to simulate extreme natural events, usually to quantify the risks that are associated with these events. We use novel extreme value methods to analyse the statistical properties of output from a numerical storm surge model for the North Sea. The 'model data' constitute a reconstruction of the storm surge climate for the period 1955-2000 based on a high quality meteorological data set and constitute the only available source of information on surge elevations at offshore and unmonitored coastal locations over this period. Previous studies have used extreme value methods to analyse storm surge characteristics, but we can extend and improve on these analyses by using a local likelihood approach to provide a non-parametric description of temporal and spatial variations in the magnitude and frequency of storm surge events

Item Type:	Publication - Article
Programmes:	Oceans 2025 > Shelf and coastal processes
ISSN:	0035-9254
Additional Keywords:	ISI REF JOURNAL NISCNOV07 AR0708 THEME 3 OCEANS 2025 WP 3.5 OPM2007 UKUNIVCOAUTHOR UKPRIVATESECTOR COASTAL FLOOD RISK EXTREME SEA LEVELS EXTREME VALUE THEORY GENERALISED EXTREME VALUE MODEL LOCAL LIKELIHOOD RETURN LEVEL STATISTICAL OCEANOGRAPHY STORMINESS SURGE MODEL SAMPLE EXTREMES VARIABILITY ATLANTIC OCEAN MODELS COAST
NORA Subject Terms:	Marine Sciences
Date made live:	07 Oct 2008 11:16 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/2711

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