{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:30:13Z","timestamp":1760059813981,"version":"build-2065373602"},"reference-count":10,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,12]],"date-time":"2025-07-12T00:00:00Z","timestamp":1752278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This data descriptor presents the HF radar and drifter datasets, along with the methods used to process and apply them in a previously published study on the validation of surface current measurements in a region characterized by highly variable coastal dynamics. The data were collected in the framework of a large-scale Lagrangian experiment, which included extensive drifter deployment and the generation of virtual trajectories based on HF radar-derived flow fields. Both Eulerian and Lagrangian approaches were used to assess radar performance through correlation and RMSE metrics, with additional refinement achieved via Kriging interpolation. The validation results, published in Remote Sensing, demonstrated good agreement between HF radar and drifter observations, particularly when quality control parameters were optimized. The datasets and associated methodologies described here support ongoing efforts to enhance HF radar tuning strategies and improve surface current monitoring in complex marine environments.<\/jats:p>","DOI":"10.3390\/data10070115","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T07:54:23Z","timestamp":1752479663000},"page":"115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Combined HF Radar and Drifter Dataset for Analysis of Highly Variable Surface Currents"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0418-1932","authenticated-orcid":false,"given":"Bartolomeo","family":"Doronzo","sequence":"first","affiliation":[{"name":"Istituto di Scienze Marine ISMAR-CNR, 50019 Firenze, Italy"},{"name":"Consorzio LaMMA, 57126 Livorno, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9806-1690","authenticated-orcid":false,"given":"Michele","family":"Bendoni","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine ISMAR-CNR, 19032 Lerici, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Taddei","sequence":"additional","affiliation":[{"name":"Consorzio LaMMA, 57126 Livorno, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelo","family":"Boccacci","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine ISMAR-CNR, 19032 Lerici, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlo","family":"Brandini","sequence":"additional","affiliation":[{"name":"Istituto di Scienze Marine ISMAR-CNR, 50019 Firenze, Italy"},{"name":"Consorzio LaMMA, 50019 Firenze, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,12]]},"reference":[{"key":"ref_1","unstructured":"Doronzo, B., Poulain, P.-M., Taddei, S., Boccacci, A., and Brandini, C. (2025). CODE drifter observations from the DDR20 experiment in the NW Mediterranean Sea. SEANOE."},{"key":"ref_2","unstructured":"Copernicus Marine Environmental Monitoring Service (CMEMS) (2017). QA Best Practices and Protocols on QC for Radial and Total HF Radar Data, Copernicus Marine Environmental Monitoring Service."},{"key":"ref_3","unstructured":"Copernicus Marine In Situ TAC Data Management Team (2025, July 09). Copernicus Marine In Situ TAC NetCDF Format Manual. Technical Report. Available online: https:\/\/archimer.ifremer.fr\/doc\/00488\/59938\/."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Mantovani, C., Corgnati, L., Horstmann, J., Rubio, A., Reyes, E., Quentin, C., Cosoli, S., Asensio, J.L., Mader, J., and Griffa, A. (2020). Best practices on high frequency radar deployment and operation for ocean current measurement. Front. Mar. Sci., 7.","DOI":"10.3389\/fmars.2020.00210"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.1175\/JTECH-D-11-00217.1","article-title":"A real-time and offline quality control methodology for SeaSonde high-frequency radar currents","volume":"29","author":"Cosoli","year":"2012","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Poulain, P.-M., Centurioni, L., Brandini, C., Taddei, S., Berta, M., and Menna, M. (2025, July 09). Relative dispersion and kinematic properties of the coastal submesoscale circulation in the southeastern Ligurian Sea. Available online: https:\/\/os.copernicus.org\/articles\/19\/1617\/2023\/.","DOI":"10.5194\/os-19-1617-2023"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Cressie, N.A.C. (1993). Statistics for Spatial Data, Wiley Series in Probability and Statistics, John Wiley & Sons.","DOI":"10.1002\/9781119115151"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/s11004-012-9429-y","article-title":"Geostatistics: Modeling spatial uncertainty","volume":"45","author":"Allard","year":"2013","journal-title":"Math. Geosci."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Beegle-Krause, C.J. (2001, January 26\u201329). General NOAA Oil Modeling Environment (GNOME): A new spill trajectory model. Proceedings of the International Oil Spill Conference Proceedings 2001, Tampa, FL, USA.","DOI":"10.7901\/2169-3358-2001-2-865"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Doronzo, B., Bendoni, M., Taddei, S., Boccacci, A., and Brandini, C. (2025). Validating HF radar current accuracy via Lagrangian measurements and radar-to-radar comparisons in highly variable surface currents. Remote Sens., 17.","DOI":"10.3390\/rs17071243"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/7\/115\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:09:10Z","timestamp":1760033350000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/7\/115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,12]]},"references-count":10,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["data10070115"],"URL":"https:\/\/doi.org\/10.3390\/data10070115","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2025,7,12]]}}}