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dc.contributor.authorAnderson, Dylanes_ES
dc.contributor.authorRuggiero, Peteres_ES
dc.contributor.authorÁlvarez Antolínez, José Antonioes_ES
dc.contributor.authorMéndez Incera, Fernando Javier es_ES
dc.contributor.authorAllan, Jonathanes_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-09-14T14:48:54Z
dc.date.available2019-02-01T03:45:11Z
dc.date.issued2018-08es_ES
dc.identifier.issn2169-9011es_ES
dc.identifier.issn2169-9003es_ES
dc.identifier.urihttp://hdl.handle.net/10902/14564
dc.description.abstractA recent 35-year endpoint shoreline change analysis revealed significant counterclockwiserotations occurring in north-central Oregon, USA, littoral cells that extend 10s of kilometers in length.While the potential for severe El Niños to contribute to littoral cell rotations at seasonal to interannual scalewas previously recognized, the dynamics resulting in persistent (multidecadal) rotation were unknown,largely due to a lack of historical wave conditions extending back multiple decades and the difficulty ofseparating the timescales of shoreline variability in a high energy region. This study addresses this questionby (1) developing a statistical downscaling framework to characterize wave conditions relevant for longshoresediment transport during data-poor decades and (2) applying a one-line shoreline change model toquantitatively assess the potential for such large embayed beaches to rotate. A climateINdex was optimizedto capture variability in longshore wave power as a proxy for potentialLOngshore Sediment Transport(LOST_IN), and a procedure was developed to simulate many realizations of potential wave conditions fromthe index. Waves were transformed dynamically with Simulating Waves Nearshore to the nearshore asinputs to a one-line model that revealed shoreline rotations of embayed beaches at multiple time and spatialscales not previously discernible from infrequent observations. Model results indicate that littoral cellsrespond to both interannual and multidecadal oscillations, producing comparable shoreline excursions toextreme El Niño winters. The technique quantitatively relates morphodynamic forcing to specific climatepatterns and has the potential to better identify and quantify coastal variability on timescales relevant to achanging climate.es_ES
dc.description.sponsorshipThis work would not have been possible without funding from the NSF Graduate Research Fellowship Program (GRFP) through NSF grant DGE-1314109, the Coastal and Ocean Climate Applications (COCA) program through NOAA grant NA15OAR4310243, NOAA’s Regional Integrated Sciences and Assessments Program (RISA), under NOAA grant NA15OAR4310145, and the Spanish Ministerio de Educación Cultura y Deporte FPU (Formación del Profesorado Universitario) studentship BOE-A-2013-12235. Beach survey data collection undertaken on the Oregon coast was made possible by the Northwest Association of Networked Ocean Observing Systems (NANOOS) through NOAA grant NA16NOS0120019.es_ES
dc.format.extent24 p.es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley & Sonses_ES
dc.rights© American Geophysical Union (AGU)es_ES
dc.sourceJournal of Geophysical Research. Earth Surface Volume123, Issue 8 August 2018 Pages 1958-1981es_ES
dc.titleA Climate Index Optimized for Longshore Sediment Transport Reveals Interannual and Multidecadal Littoral Cell Rotationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://agupubs.onlinelibrary.wiley.com/journal/21699011es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1029/2018JF004689es_ES
dc.type.versionpublishedVersiones_ES


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