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dc.contributor.authorIzaguirre Lasa, Cristina
dc.contributor.authorMéndez Incera, Fernando Javier 
dc.contributor.authorMenéndez García, Melisa 
dc.contributor.authorLuceño Vázquez, Alberto 
dc.contributor.authorLosada Rodríguez, Iñigo 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-01-12T13:58:22Z
dc.date.available2023-01-12T13:58:22Z
dc.date.issued2010-04
dc.identifier.issn2169-9275
dc.identifier.issn2169-9291
dc.identifier.issn0148-0227
dc.identifier.otherCSD2007-00067es_ES
dc.identifier.otherMTM2008-00759es_ES
dc.identifier.urihttps://hdl.handle.net/10902/27172
dc.description.abstractABSTRACT: A time-dependent generalized extreme value (GEV) model for monthly significant wave height maxima from satellite databases is used to model the seasonal and interannual variability of the extreme wave climate throughout southern Europe. In order to avoid a misleading use of the maxima time series, the classical extreme value model has been modified to cope with nonhomogeneous monthly observations. Seasonality is represented using intraannual harmonic functions in the model, while interannual variability is modeled including North Atlantic and Mediterranean regional scale sea level pressure predictors, such as the North Atlantic Oscillation (NAO), the east Atlantic (EA), or the east Atlantic/western Russian (EA/WR) patterns. The results quantify the strong spatial variability detected in the seasonal location and scale GEV parameters. In general, prominent zonal (west-east) and meridional (north-south) gradients of these location and scale parameters reveal the predominance of low-pressure centers located in the NAO region (e.g., a gradient of 4 m for the location parameter and 1.5 units for the scale parameter between north-south is shown in the month of September). The model also quantifies the influence of regional climate patterns on extreme wave climate. Results show a great influence of NAO and EA on the Atlantic basin (e.g., every unit of the monthly NAO index explains 25 cm of the extreme wave height in the Gulf of Biscay and the EA index explains 20 cm) while the negative phases of EA/WR contribute greatly to the western Mediterranean basin.es_ES
dc.description.sponsorshipThe work was partially funded by projects “GRACCIE” (CSD2007–00067, CONSOLIDER‐INGENIO 2010) from the Spanish Ministry of Ciencia e Innovación, “MARUCA” from the Spanish Ministry of Fomento and “C3E” from the Spanish Ministry of Environment, Rural and Marine Affairs. Alberto Luceño acknowledges the support of the Spanish Dirección General de Investigación under grant MTM2008– 00759. The authors wish to thank the two anonymous reviewers for their constructive comments that helped to improve the manuscript.es_ES
dc.format.extent13 p.es_ES
dc.language.isoenges_ES
dc.rights© American Geophysical Uniones_ES
dc.sourceJournal of Geophysical Research: Oceans 2010, 115 (C04009)es_ES
dc.titleExtreme wave climate variability in southern Europe using satellite dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1029/2009JC005802es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1029/2009JC005802, 2010
dc.type.versionpublishedVersiones_ES


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