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<datestamp>2018-01-11</datestamp>
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<title lang=en>Spatial assessment of extreme significant waves heights in the Gulf of Lions</title>
<creator>Chailan, Romain</creator>
<creator>Toulemonde, Gwladys</creator>
<creator>Bouchette, Frederic</creator>
<creator>Laurent, Anne</creator>
<creator>Sevault, Florence</creator>
<creator>MICHAUD, Heloise</creator>
<contributor>Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Institut de Mathématiques et de Modélisation de Montpellier (I3M) ; Université Montpellier 2 - Sciences et Techniques (UM2) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) ; Institut national des sciences de l'Univers (INSU - CNRS) - Météo France - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Risques ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>34th Conference on Coastal Engineering</source>
<source>ICCE: International Conference on Coastal Engineering</source>
<coverage>Seoul, South Korea</coverage>
<identifier>lirmm-01382568</identifier>
<identifier>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01382568</identifier>
<identifier>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01382568/document</identifier>
<identifier>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01382568/file/7553-31212-1-PB.pdf</identifier>
<source>https://hal-lirmm.ccsd.cnrs.fr/lirmm-01382568</source>
<source>ICCE: International Conference on Coastal Engineering, 2014, Seoul, South Korea. 34th Conference on Coastal Engineering, 1 (34), pp.management.17, 2014, Coastal Management, Environment, and Risk. 〈https://journals.tdl.org/icce/index.php/icce/issue/view/362/showToc〉. 〈10.9753/icce.v34.management.17〉</source>
<identifier>DOI : 10.9753/icce.v34.management.17</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.9753/icce.v34.management.17</relation>
<source>https://journals.tdl.org/icce/index.php/icce/issue/view/362/showToc</source>
<language>en</language>
<subject lang=en>wave hindcast</subject>
<subject lang=en>spatial dependence</subject>
<subject lang=en>Gulf of Lions</subject>
<subject lang=en>extreme waves hazards</subject>
<subject lang=en>extreme value analysis</subject>
<subject lang=en>max-stable processes</subject>
<subject lang=en>spatial extreme modelling</subject>
<subject>[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>In the analysis of coastal hazards, the features of extreme waves are determining information to question the impact of storms to the coast. The spatial behaviour of extreme waves is even more valuable especially since it is sparsely provided. Regarding recent applications in other contexts, a kind of statistical models called max-stable processes is relevant for modelling spatial extreme events. Max-stable processes are extensions of the well-known Generalised Extreme Value (GEV) distribution. Unlike univariate approaches, max-stable processes consider spatial dependence of a phenomenon. Such a modelling also overtakes a standard multivariate approach by providing information continuously over the area studied, even where no observation is available. Relying on such a stochastic modelling, the aim of this study is to discuss the extreme waves hazards in the Gulf of Lions, focusing on their spatial behaviour.</description>
<date>2014</date>
</dc>
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