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dc.contributor.authorSolabarrieta, Lohitzune-
dc.contributor.authorFrolov, Sergey-
dc.contributor.authorCook, Mike-
dc.contributor.authorPaduan, Jeff-
dc.contributor.authorRubio, Anna-
dc.contributor.authorGonzalez, Manuel-
dc.contributor.authorMader, Julien-
dc.contributor.authorCharria, Guillaume-
dc.date.accessioned2017-08-23T08:52:01Z-
dc.date.available2017-08-23T08:52:01Z-
dc.date.issued2016-
dc.identifierISI:000390433300003-
dc.identifier.citationJOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2016, 33, 2585-2597-
dc.identifier.issn0739-0572-
dc.identifier.urihttp://dspace.azti.es/handle/24689/109-
dc.description.abstractSince January 2009, two long-range high-frequency (HF) radar systems have been collecting hourly high-spatial-resolution surface current data in the southeastern corner of the Bay of Biscay. The temporal resolution of the HF radar surface currents permits simulating drifter trajectories with the same time step as that of real drifters deployed in the region in 2009. The main goal of this work is to compare real drifter trajectories with trajectories computed from HF radar currents obtained using different methods, including forecast currents. Open-boundary modal analysis (OMA) is applied to the radar radial velocities and then a linear autoregressive model on the empirical orthogonal function (EOF) decomposition of an historical data series is used to forecast OMA currents. Additionally, the accuracy of the forecast method in terms of the spatial and temporal distribution of the Lagrangian distances between observations and forecasts is investigated for a 4-yr period (2009-12). The skills of the different HF radar products are evaluated within a 48-h window. The mean distances between real trajectories and their radar-derived counterparts range from 4 to 5 km for real-time and forecast currents after 12 hours of simulations. The forecast model improves persistence (i.e., the simulations obtained by using the last available OMA fields as a constant variable) after 6 hours of simulation and improves the estimation of trajectories up to 28\% after 48 hours. The performance of the forecast is observed to be variable in space and time, related to the different ocean processes governing the local ocean circulation.-
dc.description.sponsorshipThe work of L. Solabarrieta in this study has been supported by the doctoral grant from Fundacion Centros Tecnologicos Inaki Goenaga. The work of A. Rubio and J. Mader was partially supported by the JERICO\_NEXT project, funded by the European Commission's Horizon 2020 Programme (Contract 65 4410). The authors thank the Directorate of Emergency Attention and Meteorology of the Basque government for providing the radial HF radar data. The HF radar processing toolbox HFR\_Progs was provided by D. Kaplan, M. Cook, D. Atwater, and J. F. Gonzlez. Finally, we also thank the sampling staff of the Marine Research Unit of AZTI-Tecnalia.-
dc.language.isoeng-
dc.publisherAMER METEOROLOGICAL SOC-
dc.subjectHIGH-FREQUENCY RADAR-
dc.subjectWATER CIRCULATION PATTERNS-
dc.subjectSURFACE CURRENTS-
dc.subjectSOUTHEASTERN BAY-
dc.subjectSOUTHERN BAY-
dc.subjectSEA-
dc.subjectSLOPE-
dc.subjectVARIABILITY-
dc.subjectEXTRACTION-
dc.subjectDYNAMICS-
dc.titleSkill Assessment of HF Radar-Derived Products for Lagrangian Simulations in the Bay of Biscay-
dc.typeArticle-
dc.identifier.journalJOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY-
dc.format.page2585-2597-
dc.format.volume33-
dc.contributor.funderFundacion Centros Tecnologicos Inaki Goenaga-
dc.contributor.funderJERICO\_NEXT project-
dc.contributor.funderEuropean Commission's Horizon Programme \[65 4410]-
dc.identifier.e-issn1520-0426-
dc.identifier.doi10.1175/JTECH-D-16-0045.1-
Appears in Publication types:Artículos científicos



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