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dc.contributor.authorCaballero, Ainhoa
dc.contributor.authorMulet, Sandrine
dc.contributor.authorAyoub, Nadia and Manso-Narvarte, Ivan
dc.contributor.authorDavila, Xabier
dc.contributor.authorBoone, Christine and Toublanc, Florence
dc.contributor.authorRubio, Anna
dc.date.accessioned2021-07-02T08:11:51Z-
dc.date.available2021-07-02T08:11:51Z-
dc.date.issued2020
dc.identifierISI:000596297500001
dc.identifier.urihttp://dspace.azti.es/handle/24689/1058-
dc.description.abstractSatellite altimeters provide continuous information of the sea level variability and mesoscale processes for the global ocean. For estimating the sea level above the geoid and monitoring the full ocean dynamics from altimeters measurements, a key reference surface is needed: The Mean Dynamic Topography (MDT). However, in coastal areas, where, in situ measurements are sparse and the typical scales of the motion are generally smaller than in the deep ocean, the global MDT solutions are less accurate than in the open ocean, even if significant improvement has been done in the past years. An opportunity to fill in this gap has arisen with the growing availability of long time-series of high-resolution HF radar surface velocity measurements in some areas, such as the south-eastern Bay of Biscay. The prerequisite for the computation of a coastal MDT, using the newly available data of surface velocities, was to obtain a robust methodology to remove the ageostrophic signal from the HF radar measurements, in coherence with the scales resolved by the altimetry. To that end, we first filtered out the tidal and inertial motions, and then, we developed and tested a method that removed the Ekman component and the remaining divergent part of the flow. A regional high-resolution hindcast simulation was used to assess the method. Then, the processed HF radar geostrophic velocities were used in synergy with additional in situ data, altimetry, and gravimetry to compute a new coastal MDT, which shows significant improvement compared with the global MDT. This study showcases the benefit of combining satellite data with continuous, high-frequency, and synoptic in situ velocity data from coastal radar measurements; taking advantage of the different scales resolved by each of the measuring systems. The integrated analysis of in situ observations, satellite data, and numerical simulations has provided a further step in the understanding of the local ocean processes, and the new MDT a basis for more reliable monitoring of the study area. Recommendations for the replicability of the methodology in other coastal areas are also provided. Finally, the methods developed in this study and the more accurate regional MDT could benefit present and future high-resolution altimetric missions.
dc.language.isoEnglish
dc.publisherFRONTIERS MEDIA SA
dc.subjectmean dynamic topography
dc.subjectHF radar
dc.subjectaltimetry
dc.subjectgeostrophy
dc.subjectBay of Biscay
dc.subjectCoastal Ocean
dc.subjectmodeling
dc.subjectobservations
dc.subjectWATER CIRCULATION PATTERNS
dc.subjectIN-SITU MEASUREMENTS
dc.subjectSOUTHERN BAY
dc.subjectSURFACE CURRENTS
dc.subjectALTIMETRIC DATA
dc.subjectSEA-LEVEL
dc.subjectBISCAY
dc.subjectOCEAN
dc.subjectEDDY
dc.subjectVARIABILITY
dc.titleIntegration of HF Radar Observations for an Enhanced Coastal Mean Dynamic Topography
dc.typeArticle
dc.identifier.journalFRONTIERS IN MARINE SCIENCE
dc.format.volume7
dc.contributor.funderCopernicus Marine Environment Monitoring Service
dc.contributor.funderJERICO-NEXT project - European Union's Horizon 2020 Research and Innovation Program [654410, 871153]
dc.contributor.funderJERICO-S3 project - European Union's Horizon 2020 Research and Innovation Program [654410, 871153]
dc.contributor.funderDepartment of Environment, Regional Planning, Agriculture and Fisheries of the Basque Government
dc.contributor.funderCALMIP/France [2017 p1119]
dc.contributor.funderGENCI/CINES/France [2018-A0040110098]
dc.contributor.funderCentre National de la Recherche Scientifique (CNRS)Centre National de la Recherche Scientifique (CNRS)
dc.identifier.e-issn2296-7745
dc.identifier.doi10.3389/fmars.2020.588713
Appears in Publication types:Artículos científicos



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