Spatial Bayesian hierarchical modelling of extreme sea states

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• 作者：Colm Clancy^a ; ^b ; John O&rsquo ; Sullivan ; ^a ; ^b ; ^{john.o-sullivan.2@ucdconnect.ie" class="auth_mail" title="E-mail the corresponding author} ; Conor Sweeney^a ; ^b ; Fré ; dé ; ric Dias^a ; ^b ; ^c ; Andrew C. Parnell^a ; ^b
• 关键词：Bayesian hierarchical modelling ; Spatial modelling ; Extreme value analysis ; Ocean waves ; Significant wave height
• 刊名：Ocean Modelling
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：107
• 期：Complete
• 页码：1-13
• 全文大小：3937 K

文摘

<dl class="listitem" id="list_celist0001"><dt class="label">•dt><dd>

d="para0001">A Bayesian hierarchical framework is used to spatially model extreme sea states.

dd><dt class="label">•dt><dd>

d="para0002">Bayesian inference results in much less uncertainty compared with maximum likelihood.

dd><dt class="label">•dt><dd>

d="para0003">Significant wave height off the west of Ireland can reach 17.5 m with 100-year return period.

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