%0 Journal Article %1 Butler.etal2007 %A Butler, Adam %A Heffernan, Janet E. %A Tawn, Jonathan A. %A Flather, Roger A. %D 2007 %I Blackwell Publishing Ltd %J Journal of the Royal Statistical Society: Series C (Applied Statistics) %K Extremes NorthSea surge trend %N 4 %P 395--414 %R 10.1111/j.1467-9876.2007.00583.x %T Trend estimation in extremes of synthetic North Sea surges %U http://dx.doi.org/10.1111/j.1467-9876.2007.00583.x %V 56 %X 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.

@article{Butler.etal2007, 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.}, added-at = {2014-07-03T11:46:40.000+0200}, author = {Butler, Adam and Heffernan, Janet E. and Tawn, Jonathan A. and Flather, Roger A.}, biburl = {https://www.bibsonomy.org/bibtex/22d8030edea1a34a89d458fea510f371a/marsianus}, description = {Trend estimation in extremes of synthetic North Sea surges - Butler - 2007 - Journal of the Royal Statistical Society: Series C (Applied Statistics) - Wiley Online Library}, doi = {10.1111/j.1467-9876.2007.00583.x}, interhash = {9b03d1754a9269b9c093d129694f823e}, intrahash = {2d8030edea1a34a89d458fea510f371a}, issn = {1467-9876}, journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)}, keywords = {Extremes NorthSea surge trend}, number = 4, pages = {395--414}, publisher = {Blackwell Publishing Ltd}, timestamp = {2014-07-03T11:46:40.000+0200}, title = {Trend estimation in extremes of synthetic North Sea surges}, url = {http://dx.doi.org/10.1111/j.1467-9876.2007.00583.x}, volume = 56, year = 2007 }