uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
On the use of discrete seasonal and directional models for the estimation of extreme wave conditions
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2010 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 37, no 5–6, 425-442 p.Article in journal (Refereed) Published
Abstract [en]

Extreme value theory is commonly used in offshore engineering to estimate extreme significant wave height. To justify the use of extreme value models it is of critical importance either to verify that the assumptions made by the models are satisfied by the data or to examine the effect violating model assumptions. An important assumption made in the derivation of extreme value models is that the data come from a stationary distribution. The distribution of significant wave height varies with both the direction of origin of a storm and the season it occurs in, violating the assumption of a stationary distribution. Extreme value models can be applied to analyse the data in discrete seasons or directional sectors over which the distribution can be considered approximately stationary. Previous studies have suggested that models which ignore seasonality or directionality are less accurate and will underestimate extremes. This study shows that in fact the opposite is true. Using realistic case studies, it is shown that estimates of extremes from non-seasonal models have a lower bias and variance than estimates from discrete seasonal models and that estimates from discrete seasonal models tend to be biased high. The results are also applicable to discrete directional models.

Place, publisher, year, edition, pages
2010. Vol. 37, no 5–6, 425-442 p.
Keyword [en]
Extremes, Peaks-over-threshold, Generalised Pareto distribution, Seasonal model, Directional model
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:uu:diva-222447DOI: 10.1016/j.oceaneng.2010.01.017OAI: oai:DiVA.org:uu-222447DiVA: diva2:711640
Available from: 2014-04-10 Created: 2014-04-10 Last updated: 2014-04-10

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S0029801810000259
By organisation
In the same journal
Ocean Engineering
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 166 hits
ReferencesLink to record
Permanent link

Direct link