100+ datasets found
  1. s

    SOCIB Glider - Canales Endurance Line

    • apps.socib.es
    • portalinvestigacio.uib.es
    Updated 2019
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    Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Marc Torner; Miguel Charcos; Juan Gabriel Férnandez; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Joaquín Tintoré (2019). SOCIB Glider - Canales Endurance Line [Dataset]. http://doi.org/10.25704/jd07-sv9
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    Dataset updated
    2019
    Dataset provided by
    datacite
    Balearic Islands Coastal Observing and Forecasting System, SOCIB
    Authors
    Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Marc Torner; Miguel Charcos; Juan Gabriel Férnandez; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Joaquín Tintoré
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    Dataset funded by
    Govern de les Illes Balears (http://www.caib.es/)
    Ministerio de ciencia, innovación y universidades (http://www.ciencia.gob.es/)
    Description

    SOCIB Glider Missions - Canales Endurance Line - was initiated in 2011, with in kind collaboration of CSIC (IMEDEA), covering both the Mallorca and Ibiza channel in a semi-continuous operational mode and sampling physical and biogeochemical observations. The Ibiza channel is a well-established biodiversity hotspot and accordingly more intensive monitoring of the Ibiza channel is carried out to capture the mesoscale and submesoscale structures and their relation to the weekly to seasonal and annual/inter-annual variability. On the canales endurance line, ocean gliders making repeated dives from the surface to 1000 m interior of the ocean, repeating the cycle every ~5 hours, and traveling ~5 km in the horizontal during each dive. The canales endurance line is covering both the Mallorca and Ibiza channel in a semi-continuous operational mode. The glider missions typically last about 60 to 90 days, providing 6-10 sections of the Ibiza channel and 2 sections of the Mallorca channel. Since 2011 the Canales Endurance line has completed 108 glider missions, covered 53000 km over the ground, and has more than 97000 physical and biogeochemical profiles.

  2. u

    SOCIB - DOORS glider mission in Black Sea

    • portalinvestigacio.uib.cat
    Updated 2025
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    Zarokanellos, Nikolaos; Rubio, Manuel; Balan, Vasile-Sorin; Ungureanu, Gheorghe Viorel; Miralles, Albert; Rotaru, Sabin; Rivera Rodríguez, Patricia; Charcos-Llorens, Miguel; Papathanassiou, Evangelos; Tyler, Andrew; Casas Pérez, Benjamin; Stanica, Adrian; Tintoré, Joaquín; Zarokanellos, Nikolaos; Rubio, Manuel; Balan, Vasile-Sorin; Ungureanu, Gheorghe Viorel; Miralles, Albert; Rotaru, Sabin; Rivera Rodríguez, Patricia; Charcos-Llorens, Miguel; Papathanassiou, Evangelos; Tyler, Andrew; Casas Pérez, Benjamin; Stanica, Adrian; Tintoré, Joaquín (2025). SOCIB - DOORS glider mission in Black Sea [Dataset]. https://portalinvestigacio.uib.cat/documentos/688b609b17bb6239d2d52214
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    Dataset updated
    2025
    Authors
    Zarokanellos, Nikolaos; Rubio, Manuel; Balan, Vasile-Sorin; Ungureanu, Gheorghe Viorel; Miralles, Albert; Rotaru, Sabin; Rivera Rodríguez, Patricia; Charcos-Llorens, Miguel; Papathanassiou, Evangelos; Tyler, Andrew; Casas Pérez, Benjamin; Stanica, Adrian; Tintoré, Joaquín; Zarokanellos, Nikolaos; Rubio, Manuel; Balan, Vasile-Sorin; Ungureanu, Gheorghe Viorel; Miralles, Albert; Rotaru, Sabin; Rivera Rodríguez, Patricia; Charcos-Llorens, Miguel; Papathanassiou, Evangelos; Tyler, Andrew; Casas Pérez, Benjamin; Stanica, Adrian; Tintoré, Joaquín
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Black Sea
    Description

    The Black Sea is a semi-enclosed basin with limited water exchange with the open basins and significant river discharges. These inflows are critical to the Black Sea's hydrology, nutrient availability, and ecosystem biogeochemistry. In the Black Sea, the interaction of atmospheric forcing, river discharges, and mesoscale dynamics contributes to the formation of distinct water masses. The northern part of the Black Sea has a shelf exposed to seasonal hypoxia and eutrophication. In contrast, the southern half is deep and stratified, with anoxic waters below 100 meters. These characteristics made the Black Sea an enormous meromictic sea. In the DOORS project (Developing Optimal and Open Research Support), a glider mission was conducted during the DOORS field campaign from May 6 to June 17, 2023, in the Romanian Exclusive Economic Zone. The mission covered 288 nautical miles and collected 863 physical and biogeochemical profiles down to a depth of 1000 meters. During the glider mission, we performed ten transects to the shelf and close to the Danube Cone. Each transect lasted around four days to complete, allowing us to better understand the temporal and spatial variability.

  3. SOCIB TNA Abacus

    • apps.socib.es
    • portalinvestigacio.uib.es
    Updated 2018
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    Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Miguel Charcos; Juan Gabriel Férnandez; Giorgio Budillon; Yuri Cotroneo; Giuseppe Aulicino; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Giannetta Fusco; Joaquín Tintoré (2018). SOCIB TNA Abacus [Dataset]. http://doi.org/10.25704/b200-3vf5
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    Dataset updated
    2018
    Dataset provided by
    DataCite
    Balearic Islands Coastal Observing and Forecasting System, SOCIB
    Authors
    Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Miguel Charcos; Juan Gabriel Férnandez; Giorgio Budillon; Yuri Cotroneo; Giuseppe Aulicino; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Giannetta Fusco; Joaquín Tintoré
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    Dataset funded by
    Horizon 2020 Framework Programme
    European Union Seventh Framework Programme
    Description

    The project aims at assessing the importance of a new monitoring line across the Algerian Basin between Palma de Mallorca and the Algerian Coast. The Algerian Basin (AB) is located in the south of the Western Mediterranean Sea and is characterized by the presence of fairly fresh surface waters coming from the Atlantic (Atlantic Water- AW) and the more saline waters from the northwestern Mediterranean region interacting at different scales from basin-scale to mesoscale structures. The project aims at assessing the importance of a monitoring line across the AB between Palma de Mallorca and the Algerian coasts. ABACUS project will contribute to data collection in The Southern European Seas, one of the main EU maritime policy objectives, as outlined in the Marine Strategy Framework Directive through a multi-platform study of the mesoscale variability and main physical and biological characteristics of the AC system.

  4. s

    Data from: SOCIB INT RadarAPM Nov2018. Lagrangian Experiment Ibiza Channel

    • apps.socib.es
    • portalinvestigacio.uib.cat
    Updated 2020
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    Emma Reyes; Baptiste Mourre; Jaime Hernández-Lasheras; Ismael Hernández-Carrasco; Nikolaus Wirth; Pau Balaguer; Benjamin Casas; Joaquin Tintoré (2020). SOCIB INT RadarAPM Nov2018. Lagrangian Experiment Ibiza Channel [Dataset]. http://doi.org/10.25704/84ze-sf42
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    Dataset updated
    2020
    Dataset provided by
    DataCite
    Balearic Islands Coastal Observing and Forecasting System, SOCIB
    Authors
    Emma Reyes; Baptiste Mourre; Jaime Hernández-Lasheras; Ismael Hernández-Carrasco; Nikolaus Wirth; Pau Balaguer; Benjamin Casas; Joaquin Tintoré
    License

    http://socib.es/?seccion=dataCenter&facility=accessPolicyhttp://socib.es/?seccion=dataCenter&facility=accessPolicy

    Description

    Lagrangian experiment in the Ibiza channel during Autumn 2018, aiming to use the novel CARTHE GPS drifters (low-cost, compact, practical, eco-friendly and able too track currents centered 40 cm below the surface) to validate HF-Radar (new Antenna Pattern Measurement) and WMOP surface velocities, capture all representative spatio-temporal scales of surface circulation, study dispersion of surface particles, perform HFR data assimilation experiment with WMOP.

  5. u

    Data from: Geostrophic transport estimations from SOCIB gliders in the Ibiza...

    • portalinvestigacio.uib.cat
    Updated 2025
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    Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin; Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin (2025). Geostrophic transport estimations from SOCIB gliders in the Ibiza Channel from 2011 to 2024 [Dataset]. https://portalinvestigacio.uib.cat/documentos/688b608c17bb6239d2d50ac6
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    Dataset updated
    2025
    Authors
    Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin; Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Ibiza
    Description

    Through the long-term monitoring program called “Canales”, gliders operated by SOCIB have been deployed in the Ibiza Channel (western Mediterranean) along a semi-continuous endurance line since 2011. During the period 2011-2024, more than 70 glider missions were successfully performed, collecting temperature and salinity profiles from the surface to 950 m depth, from which geostrophic velocities were derived. Following the methodology described in Juza et al. (2025), total and water mass geostrophic transports were then computed for each completed section. The water masses are: recent and modified Atlantic Waters (AWr and AWm, respectively), Western Intermediate Water (WIW), Levantine Intermediate Water (LIW) and Western Mediterranean Deep Water (WMDW). This dataset contains the time series of the northward (positive) and southward (negative) flows for the total, AWr, AWm, WIW, LIW and WMDW transports for each transect in the Ibiza Channel from 2011 to 2024.

  6. Physical oceanography on standard levels during SOCIB cruise SOCIB_1212

    • doi.pangaea.de
    html, tsv
    Updated Apr 15, 2014
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    Jose Luis Lopez-Jurado; Alberto Aparicio-Gonzalez; Rosa Balbín; Juan Carlos Alonso; Bartomeu Amengual; Javier Jansa; Maria Carmen Garcia; Francina Moya; Mariano Serra; Manolo Vargas-Yanez (2014). Physical oceanography on standard levels during SOCIB cruise SOCIB_1212 [Dataset]. http://doi.org/10.1594/PANGAEA.831912
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    html, tsvAvailable download formats
    Dataset updated
    Apr 15, 2014
    Dataset provided by
    Coastal Ocean Observing and Forecasting System, Balearic Islands
    PANGAEA
    Authors
    Jose Luis Lopez-Jurado; Alberto Aparicio-Gonzalez; Rosa Balbín; Juan Carlos Alonso; Bartomeu Amengual; Javier Jansa; Maria Carmen Garcia; Francina Moya; Mariano Serra; Manolo Vargas-Yanez
    Time period covered
    Dec 19, 2012
    Area covered
    Variables measured
    Gear, Oxygen, LATITUDE, Salinity, DATE/TIME, LONGITUDE, Event label, DEPTH, water, Station label, Pressure, water, and 4 more
    Description

    This dataset is about: Physical oceanography on standard levels during SOCIB cruise SOCIB_1212. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.831923 for more information.

  7. u

    Data from: IMEDEA-SOCIB_FaSt-SWOT data and metadata

    • portalinvestigacio.uib.cat
    • apps.socib.es
    Updated 2025
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    Pascual, Ananda; Balaguer, Pau; Barceló-Llull, Bárbara; Calafat, Noemí; Casas, Benjamín; Casaucao, Andrea; Charcos-Llorens, Miguel; Cutolo, Eugenio; Diaz-Barroso, Lara; Fernández, Juan Gabriel; Gómez-Navarro, Laura; Lizarán, Irene; López, Guiomar; Miralles, Albert; Reyes, Emma; Rivera, Patricia; Rodriguez-Tarry, Daniel; Rubio, Manuel; Tintoré, Joaquín; Verger-Miralles, Elisabet; Villoria, Juan Miguel; Wirth, Nikolaus; Zarokanellos, Nikolaos; Mourre, Baptiste; Pascual, Ananda; Balaguer, Pau; Barceló-Llull, Bárbara; Calafat, Noemí; Casas, Benjamín; Casaucao, Andrea; Charcos-Llorens, Miguel; Cutolo, Eugenio; Diaz-Barroso, Lara; Fernández, Juan Gabriel; Gómez-Navarro, Laura; Lizarán, Irene; López, Guiomar; Miralles, Albert; Reyes, Emma; Rivera, Patricia; Rodriguez-Tarry, Daniel; Rubio, Manuel; Tintoré, Joaquín; Verger-Miralles, Elisabet; Villoria, Juan Miguel; Wirth, Nikolaus; Zarokanellos, Nikolaos; Mourre, Baptiste (2025). IMEDEA-SOCIB_FaSt-SWOT data and metadata [Dataset]. https://portalinvestigacio.uib.cat/documentos/6930646c9244fc3c6ebe22cb
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    Dataset updated
    2025
    Authors
    Pascual, Ananda; Balaguer, Pau; Barceló-Llull, Bárbara; Calafat, Noemí; Casas, Benjamín; Casaucao, Andrea; Charcos-Llorens, Miguel; Cutolo, Eugenio; Diaz-Barroso, Lara; Fernández, Juan Gabriel; Gómez-Navarro, Laura; Lizarán, Irene; López, Guiomar; Miralles, Albert; Reyes, Emma; Rivera, Patricia; Rodriguez-Tarry, Daniel; Rubio, Manuel; Tintoré, Joaquín; Verger-Miralles, Elisabet; Villoria, Juan Miguel; Wirth, Nikolaus; Zarokanellos, Nikolaos; Mourre, Baptiste; Pascual, Ananda; Balaguer, Pau; Barceló-Llull, Bárbara; Calafat, Noemí; Casas, Benjamín; Casaucao, Andrea; Charcos-Llorens, Miguel; Cutolo, Eugenio; Diaz-Barroso, Lara; Fernández, Juan Gabriel; Gómez-Navarro, Laura; Lizarán, Irene; López, Guiomar; Miralles, Albert; Reyes, Emma; Rivera, Patricia; Rodriguez-Tarry, Daniel; Rubio, Manuel; Tintoré, Joaquín; Verger-Miralles, Elisabet; Villoria, Juan Miguel; Wirth, Nikolaus; Zarokanellos, Nikolaos; Mourre, Baptiste
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This data product contains Real-Time (RT) datasets from the two oceanographic campaigns of the FaSt-SWOT project (Fine-Scale ocean currents from integrated multi-platform experiments and numerical simulations: contribution to the new SWOT satellite mission), which were conducted in the Balearic Sea during spring 2023. The FaSt-SWOT experiments were designed to validate the first observations of the Surface Water and Ocean Topography (SWOT) satellite mission during its fast-sampling phase. The primary objective is to improve the characterization of oceanic fine scales (20-100 km), by integrating multi-platform in-situ observations, satellite observations, numerical models, and innovative computational techniques. The RT datasets integrate measurements from a unique set of in-situ platforms deployed during the two campaigns including data from two Slocum Gliders (owned and operated by SOCIB), data from a total of 40 surface drifters (20 HEREON and 20 CARTHE) and continuous observations from the SOCIB Research Vessel, including the thermosalinograph (sea surface temperature and salinity), weather station, CTD casts (to 500 m depth for FaSt-SWOT leg 1 and 700 m for FaSt-SWOT leg 2) and GPS positioning. All datasets have been standardized in netCDF format following the SOCIB convention and include the corresponding quality control procedures for each platform. This combined dataset aims to assess the actual capability of SWOT to map Sea Surface Height (SSH) variability across these fine-scale ranges in the Balearic Sea. Keywords: FaSt-SWOT, SWOT satellite mission, Balearic Sea, gliders, drifters, research vessel, essential ocean variables, multi-platform in-situ observations.

  8. SOCIB 2013-02(00016)

    • cdi.seadatanet.org
    Updated Oct 16, 2024
    + more versions
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    IEO-CSIC, Spanish Institute of Oceanography (2024). SOCIB 2013-02(00016) [Dataset]. https://cdi.seadatanet.org/report/3757700
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Instituto Español de Oceanografía
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    IEO-CSIC, Spanish Institute of Oceanography
    License

    http://vocab.nerc.ac.uk/collection/L08/current/RS/http://vocab.nerc.ac.uk/collection/L08/current/RS/

    Time period covered
    Feb 15, 2013
    Description

    CTD collection

  9. Buoy BahiaDePalma data

    • apps.socib.es
    Updated May 19, 2022
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    Joaquín Tintoré (2022). Buoy BahiaDePalma data [Dataset]. http://doi.org/10.25704/s6jb-ck61
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    Dataset updated
    May 19, 2022
    Dataset provided by
    DataCite
    Balearic Islands Coastal Observing and Forecasting System, SOCIB
    Authors
    Joaquín Tintoré
    Area covered
    Dataset funded by
    Govern de les Illes Balears
    Ministerio de Ciencia, Innovación y Universidades
    Description

    Data produced in the platform Buoy BahiaDePalma. It's compound by: Conductivity and Temperature Recorder, Current profiler, Currentmeter, Multiparameter probe, Oceanographic Buoy, Status, Waves recorder, Weather Station data

  10. u

    Data from: Monthly climatology of geostrophic transports from SOCIB gliders...

    • portalinvestigacio.uib.cat
    Updated 2025
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    Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin; Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin (2025). Monthly climatology of geostrophic transports from SOCIB gliders in the Ibiza Channel over the period 2011-2022 [Dataset]. https://portalinvestigacio.uib.cat/documentos/688b608817bb6239d2d50474
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    Dataset updated
    2025
    Authors
    Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin; Juza, Mélanie; Zarokanellos, Nikolaos; Heslop, Emma; Tintore, Joaquin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ibiza
    Description

    Through the long-term monitoring program called “Canales”, gliders operated by SOCIB have been deployed in the Ibiza Channel (western Mediterranean) along a semi-continuous endurance line. Since 2011, more than 70 glider missions have been successfully performed, collecting temperature and salinity profiles from the surface to 950 m depth, from which geostrophic velocities were derived. Following the methodology described in Juza et al. (2025), total and water mass geostrophic transports were then computed for each completed section. The water masses are: recent and modified Atlantic Waters (AWr and AWm, respectively), Western Intermediate Water (WIW), Levantine Intermediate Water (LIW) and Western Mediterranean Deep Water (WMDW). This dataset contains the monthly climatology of the northward (positive) and southward (negative) flows for the total, AWr, AWm, WIW, LIW and WMDW transports in the Ibiza Channel over the period 2011-2022.

  11. E

    HF RADAR TOTAL - Ibiza

    • erddap.emodnet-physics.eu
    Updated Oct 20, 2026
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    Lorenzo Corgnati (2026). HF RADAR TOTAL - Ibiza [Dataset]. https://erddap.emodnet-physics.eu/erddap/info/HFRADAR_IBIZA_Totals/index.html
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 20, 2026
    Dataset provided by
    Copernicus Marine Service
    Authors
    Lorenzo Corgnati
    License

    https://marine.copernicus.eu/user-corner/service-commitments-and-licencehttps://marine.copernicus.eu/user-corner/service-commitments-and-licence

    Time period covered
    Feb 1, 2019 - Oct 20, 2026
    Area covered
    Variables measured
    CCOV, EWCS, EWCT, GDOP, NSCS, NSCT, time, depth, QCflag, CSPD_QC, and 6 more
    Description

    HF RADAR TOTAL - Ibiza _NCProperties=version=2,netcdf=4.9.3-development,hdf5=1.12.2 area=Ibiza Channel calibration_link=FORM: ereyes@socib.es; GALF: ereyes@socib.es calibration_type=FORM: APM; GALF: APM cdm_data_type=Grid citation=These data were collated within the Copernicus Marine Service (In Situ) and EMODnet collaboration framework. Data is made freely available by the Copernicus Marine Service and the programs that contribute to it. These data are collected and processed by SOCIB (Balearic Island Coastal and Observing Forecasting System) with the support of different projects: Jerico-Next, INCREASE, CMEMS-INSTAC phase II and IBISAR comment=HFR is nowadays the unique land-based remote sensing technology providing continuous maps of near-real surface currents (0.9m) over wide areas (out of about 85 km from near shore) whit high-spatial (3 km) and temporal resolution (hourly). Two or mode HFR sites are needed for computing the map of total surface current vectors in the overlapping coverage area. Total velocities are derived using least square fit that maps radial velocities measured from individual sites onto a cartesian grid. The final product is a map of the horizontal components of the ocean currents on a regular grid in the area of overlap of two or more radar stations. Conventions=CF-1.11 Copernicus-InSituTAC-FormatManual-2.0.0 Copernicus-InSituTAC-ParametersList-3.3.0 Copernicus-InSituTAC-AttributesList-1.0.0 data_mode=R doa_estimation_method=FORM: Direction Finding; GALF: Direction Finding Easternmost_Easting=1.400685 format_version=2.0 geospatial_lat_max=39.1067 geospatial_lat_min=38.32299 geospatial_lat_resolution=0.027024482758620662 geospatial_lat_units=degrees_north geospatial_lon_max=1.400685 geospatial_lon_min=0.5038552 geospatial_lon_resolution=0.03449345384615385 geospatial_lon_units=degrees_east history=Data measured from 2026-10-20T05:30:00Z to 2026-10-20T16:30:00Z. netCDF file created at 2026-10-20T16:54:06Z by the European HFR Node. id=GL_TV_HF_HFR-Ibiza-Total_20261020 infoUrl=https://www.hfrnode.eu/ institution=SOCIB - Balearic Islands Coastal Observing and forecasting System institution_edmo_code=3410 institution_references=https://www.socib.es/ https://www.socib.es keywords_vocabulary=GCMD Science Keywords last_calibration_date=FORM: 2020-03-03T00:00:00Z; GALF: 2017-01-26T00:00:00Z manufacturer=FORM: CODAR SeaSonde, GALF: CODAR SeaSonde naming_authority=Copernicus Marine In Situ netcdf_version=netCDF-4 classic model network=HFR_Ibiza Northernmost_Northing=39.1067 platform_code=HFR-Ibiza-Total platform_name=HFR-Ibiza-Total processing_level=3B project=Jerico-Next; INCREASE; CMEMS-INSTAC phase2 references=http://marine.copernicus.eu http://www.marineinsitu.eu http://www.marineinsitu.eu/wp-content/uploads/2018/02/HFR_Data_Model_Reference_Card_v1.pdf sensor_model=FORM: CODAR SeaSonde, GALF: CODAR SeaSonde site_code=HFR-Ibiza source=coastal structure source_platform_category_code=17 sourceUrl=(local files) Southernmost_Northing=38.32299 spatial_resolution=3.0 time_coverage_duration=P0DT11H0M0S time_coverage_end=2026-10-20T16:00:00Z time_coverage_resolution=PT1H time_coverage_start=2019-02-01T00:00:00Z update_interval=void Westernmost_Easting=0.5038552

  12. u

    Data from: SOCIB Argo profiling floats data and metadata

    • portalinvestigacio.uib.cat
    Updated 2024
    + more versions
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    Balearic Islands Coastal Observing and Forecasting System; Díaz-Barroso, Lara; Lizarán, Irene; Ruiz-Parrado, Inmaculada; Casaucao, Andrea; Marasco, Matteo; Fernández, Juan Gabriel; Notario, Xisco; Juza, Mélanie; Casas, Benjamín; Reyes, Emma; Wirth, Nikolaus; Balaguer-Huguet, Pau; Baeza-Montals, Josep; Castilla, Carlos; Calafat, Noemí; Villoria, Juan Miguel; Rújula, Miquel Àngel; Tintoré, Joaquín; Balearic Islands Coastal Observing and Forecasting System; Díaz-Barroso, Lara; Lizarán, Irene; Ruiz-Parrado, Inmaculada; Casaucao, Andrea; Marasco, Matteo; Fernández, Juan Gabriel; Notario, Xisco; Juza, Mélanie; Casas, Benjamín; Reyes, Emma; Wirth, Nikolaus; Balaguer-Huguet, Pau; Baeza-Montals, Josep; Castilla, Carlos; Calafat, Noemí; Villoria, Juan Miguel; Rújula, Miquel Àngel; Tintoré, Joaquín (2024). SOCIB Argo profiling floats data and metadata [Dataset]. https://portalinvestigacio.uib.cat/documentos/688b60cb17bb6239d2d566e9
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    Dataset updated
    2024
    Authors
    Balearic Islands Coastal Observing and Forecasting System; Díaz-Barroso, Lara; Lizarán, Irene; Ruiz-Parrado, Inmaculada; Casaucao, Andrea; Marasco, Matteo; Fernández, Juan Gabriel; Notario, Xisco; Juza, Mélanie; Casas, Benjamín; Reyes, Emma; Wirth, Nikolaus; Balaguer-Huguet, Pau; Baeza-Montals, Josep; Castilla, Carlos; Calafat, Noemí; Villoria, Juan Miguel; Rújula, Miquel Àngel; Tintoré, Joaquín; Balearic Islands Coastal Observing and Forecasting System; Díaz-Barroso, Lara; Lizarán, Irene; Ruiz-Parrado, Inmaculada; Casaucao, Andrea; Marasco, Matteo; Fernández, Juan Gabriel; Notario, Xisco; Juza, Mélanie; Casas, Benjamín; Reyes, Emma; Wirth, Nikolaus; Balaguer-Huguet, Pau; Baeza-Montals, Josep; Castilla, Carlos; Calafat, Noemí; Villoria, Juan Miguel; Rújula, Miquel Àngel; Tintoré, Joaquín
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The Argo observing network is composed of profiling floats which collect information from the ocean surface to subsurface. These floats collect vertical profiles of ocean temperature and salinity, and some also measure biogeochemical ocean properties. These data provide information about the 4-dimensional ocean, helping to understand the oceans’ role in the Earth's climate system and to improve future climate change estimates. As part of the Euro-Argo ERIC (European Research Infrastructure Consortium), SOCIB has contributed to the program in the Western Mediterranean Sea since 2011. Each year, SOCIB deploys three floats to maintain a set of five floats, distributed across the sea with an average spacing of 2 degrees. This ensures continuous observation capability. This dataset compiles SOCIB's contribution to Euro-Argo ERIC since January 2011.

  13. Data from: Shoreline position (Balearic Islands, Spain)

    • zenodo.org
    • portaldelainvestigacion.uma.es
    zip
    Updated Sep 3, 2026
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    Elena Sánchez-García; Elena Sánchez-García; Francisco Fabián Criado-Sudau; Francisco Fabián Criado-Sudau; Jesús Soriano-González; Jesús Soriano-González; Ángels Fernàndez-Mora; Ángels Fernàndez-Mora; León González Pérez; León González Pérez; Josep Oliver-Sansó; Josep Oliver-Sansó; Francesc Bernat Bieri Tauler; Francesc Bernat Bieri Tauler (2026). Shoreline position (Balearic Islands, Spain) [Dataset]. http://doi.org/10.5281/zenodo.22111599
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2026
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Elena Sánchez-García; Elena Sánchez-García; Francisco Fabián Criado-Sudau; Francisco Fabián Criado-Sudau; Jesús Soriano-González; Jesús Soriano-González; Ángels Fernàndez-Mora; Ángels Fernàndez-Mora; León González Pérez; León González Pérez; Josep Oliver-Sansó; Josep Oliver-Sansó; Francesc Bernat Bieri Tauler; Francesc Bernat Bieri Tauler
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Spain, Balearic Islands
    Description

    Instantaneous shoreline position dataset from in-situ RTK-GNSS measurements, land-based beach imaging systems and optical remote sensing platforms

    The Shoreline product provides time series of instantaneous shoreline positions from five microtidal beaches in the Balearic Islands (Spain), obtained from different observation platforms and using different shoreline extraction methods. The dataset integrates RTK-GPS measurements, shorelines derived from land-based remote sensing platforms (SIRENA and CoastSnap), and multispectral satellite imagery. A total of 3543 shorelines are included in the product.

    Technical details

    The dataset is provided as an ESRI Shapefile containing multipointZ (XYZ) shoreline geometries in WGS84 coordinates, with orthometric heights referenced to the Alicante Mean Sea Level (NMMA) datum. Each feature -with a unique identifier- represents a shoreline at a specific time, location, and extraction method. An accompanying JSON file provides CF-compliant metadata and explanations of the variables.

    The product integrates three methodological sub-datasets:

    1. In-situ & Manual Beach-Imaging: RTK-GPS surveys and manually digitized shorelines from fixed coastal video stations (SIRENA) and citizen-science camera cradles (CoastSnap).
    2. Satellite-Derived Shorelines (SDS): Automated waterline extractions from Sentinel-2 and Landsat 8/9 imagery using deep-learning models within the CoastSat pipeline (https://www.google.com/url?sa=E&q=https%3A%2F%2Fgithub.com%2Fkvos%2FCoastSat%2F" rel="noopener noreferrer">https://github.com/kvos/CoastSat/).
    3. AI-Driven Beach-Imaging Shorelines: Automated shoreline extractions from coastal imagery using CNN-based semantic segmentation (https://www.google.com/url?sa=E&q=https%3A%2F%2Fgithub.com%2Fai4os-hub%2Fsocib-shoreline-extraction" rel="noopener noreferrer">https://github.com/ai4os-hub/socib-shoreline-extraction).

    Except for the RTK-GPS data, for which each measured point has its corresponding Z value, image and satellite-derived shorelines were assigned a single elevation value, based on the sea-level value from the Puertos del Estado tide gauge closest in both time and space. Sea-level values were referenced to the Alicante Mean Sea Level (NMMA), Spanish datum, and reconstructed using the ttide code.

    Parameters

    This product includes shorelines collected at multiple sites using various observation platforms and extraction or acquisition methods. The parameters included in the dataset to distinguish between these different characteristics are listed below.

    Variable

    Long Name

    Units

    Y

    latitude

    degree_north
    X

    longitude

    degree_east

    Z

    altitude / geometric height above the geoid

    m

    ID

    unique shoreline identifier

    dimensionless

    TIME

    UTC time

    YYYY-MM-DDTHH:MM:SSZ
    PLTF_N
    platform name / site
    dimensionless
    PLTF_ID

    platform id / observation platform type

    dimensionless
    METHOD

    shoreline extraction method

    dimensionless
    QC
    quality_flag
    dimensionless

    Data sources

    Platforms: human; Landsat-8; Landsat-9; Sentinel-2; CoastSnap and SIRENA video-monitoring stations managed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB).

    Instruments: Leica GS10 RTK-GNSS; GEOMAX Zenith60 RTK-GNSS; red de mareógrafos (REDMAR) de Puertos del Estado.

    Data quality

    • RTK-GNSS-derived shorelines: Accuracy and quality depend on instrument specifications and manual data cleaning. Instrumentation undergoes regular maintenance, and data processing is performed by qualified personnel following quality control procedures. The approximate horizontal and vertical positional accuracy within ±0.05 m.

    • Image-derived shorelines (manual digitization): Accuracy is assessed by direct comparison with simultaneous RTK-GPS measurements, focusing on the cross-shore component using distance-based metrics. Accuracy varies depending on the site, imaging system, and distance from the camera. Overall, the approximate Root Mean Square Distance (RMSD) ranges between 1 and 3 m for microtidal sites.

    • Satellite-derived shorelines: Accuracy was assessed against concurrent (±24 h) RTK-GPS and manually digitized shorelines. Both Sentinel-2 and Landsat 8/9 achieved sub-pixel accuracy, with RMSD values of approximately 4–8 m for Sentinel-2 and 11–13 m for Landsat 8/9 within the CoastSat pipeline (regionally self-trained models).
    • AI-derived image shorelines: Accuracy is assessed against manually digitized shorelines, with MAD values ranging from 2.6 to 3.4 m, approaching the uncertainty associated with expert manual digitization.

    Spatial and Temporal coverage

    Site

    Longitude Range

    Latitude Range

    Elevation Range

    Time Period

    Number of shorelines

    Cala Millor

    3.3845 to 3.3870

    39.5877 to 39.6035

    -0.72 m to +1.34 m

    2013-04-09T08:32:04Z to 2025-07-10T14:51:28Z

    766

    Son Bou

    4.0537 to 4.0786

    39.8957 to 39.9076

    -0.64 m to +1.58 m2011-10-22T11:00:00Z to 2025-10-14T09:54:35Z692

    Muro

    3.1168 to 3.1215

    39.8017 to 39.8176

    -0.57 m to +0.59 m

    2013-04-09T08:32:04Z to 2026-03-18T10:33:28Z

    862

    Samarador

    3.1851 to 3.1864

    39.3492 to 39.3504

    -0.26 m to +1.67 m

    2022-07-21T06:45:00Z to 2025-10-08T11:36:45Z

    265

    Arenaldentem

    2.9742 to 2.9913

    39.3341 to 39.3531

    -0.48 m to +1.99 m2013-05-11T08:26:59Z to 2025-10-08T13:03:11Z958

    Contact information

    For further technical inquiries or additional information about the dataset, please contact mobims@socib.es

    Related works

    Oliver-Sansó, J., Soriano-González, J., Varona, J., Moyà-Alcover, G., Sánchez-García, E. (2026). Automating shoreline extraction from beach imaging systems for coastal monitoring. Environmental Modelling & Software, 107078, https://doi.org/10.1016/j.envsoft.2026.107078" rel="noreferrer noopener">https://doi.org/10.1016/j.envsoft.2026.107078.

    González-Villanueva, R., Soriano-González, J., Alejo, I., Criado-Sudau, F., Plomaritis, T., Fernàndez-Mora, À., Benavente, J., Del Río, L., Nombela, M. Á., and Sánchez-García, E. (2023). SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme, Earth Syst. Sci. Data, 15, 4613–4629, https://doi.org/10.5194/essd-15-4613-2023.

  14. SOCIB 2013-02(00013)

    • cdi.seadatanet.org
    Updated Oct 16, 2024
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    IEO-CSIC, Spanish Institute of Oceanography (2024). SOCIB 2013-02(00013) [Dataset]. https://cdi.seadatanet.org/report/3757697
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Instituto Español de Oceanografía
    Spanish National Research Councilhttp://www.csic.es/
    Authors
    IEO-CSIC, Spanish Institute of Oceanography
    License

    http://vocab.nerc.ac.uk/collection/L08/current/RS/http://vocab.nerc.ac.uk/collection/L08/current/RS/

    Time period covered
    Feb 15, 2013
    Description

    CTD collection

  15. u

    Data from: SOCIB EXP RADAR Sep2014

    • portalinvestigacio.uib.es
    • apps.socib.es
    • +1more
    Updated 2020
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    Tintoré, Joaquín; Lana, Arancha; Marmain, Julien; Fernández, Vicente; Orfila, Alejandro; Tintoré, Joaquín; Lana, Arancha; Marmain, Julien; Fernández, Vicente; Orfila, Alejandro (2020). SOCIB EXP RADAR Sep2014 [Dataset]. https://portalinvestigacio.uib.es/documentos/688b60c717bb6239d2d560bd
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    Dataset updated
    2020
    Authors
    Tintoré, Joaquín; Lana, Arancha; Marmain, Julien; Fernández, Vicente; Orfila, Alejandro; Tintoré, Joaquín; Lana, Arancha; Marmain, Julien; Fernández, Vicente; Orfila, Alejandro
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    The aim of this experiment was to assess the operational HF radar surface current velocities in the Ibiza Channel in a Lagrangian framework, by comparing against surface drifter derived velocities"

  16. E

    Near Real Time Surface Ocean Total Velocity by HFR-Ibiza-Total

    • erddap.hfrnode.eu
    • erddap.emodnet-physics.eu
    Updated Oct 21, 2026
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    Lorenzo Corgnati (2026). Near Real Time Surface Ocean Total Velocity by HFR-Ibiza-Total [Dataset]. https://erddap.hfrnode.eu/erddap/info/EUHFR_NRTcurrent_HFR-Ibiza-Total_v3/index.html
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    Dataset updated
    Oct 21, 2026
    Dataset provided by
    European HFR Node
    Authors
    Lorenzo Corgnati
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2018 - Oct 21, 2026
    Area covered
    Variables measured
    CCOV, EWCS, EWCT, GDOP, NSCS, NSCT, time, depth, QCflag, CSPD_QC, and 6 more
    Description

    The data set consists of real-time continuous coastal ocean surface current maps in the Ibiza Channel (Western Mediterranean) averaged over a time interval of 1 hour around the cardinal hour, measured by the coastal High-Frequency Radars installed. Surface ocean velocities estimated by HF Radar are representative of the upper 0.9 meters of the ocean for a central frequency of 13.5 MHz. acknowledgement=Ministerio de ciencia e innovacion (http://www.ciencia.gob.es/portal/site/MICINN/). Govern de les Illes Balears (http://www.caib.es/). The network has been designed, implemented and managed through the efforts of SOCIB. The collection of this datasets was partially supported by the Jerico Next (H2020) and CMEMS-SE and INCREASE projects. area=Ibiza Channel calibration_link=FORM: ereyes@socib.es, GALF: ereyes@socib.es calibration_type=FORM: APM, GALF: APM cdm_data_type=Grid citation=These data were collected and made freely available by the EuroGOOS European HFR Node. These data are collected and processed by SOCIB (Balearic Island Coastal and Observing Forecasting System) with the support of different projects: Jerico-Next, INCREASE, CMEMS-INSTAC phase II and IBISAR comment=HFR is nowadays the unique land-based remote sensing technology providing continuous maps of near-real surface currents (0.9m) over wide areas (out of about 85 km from near shore) whit high-spatial (3 km) and temporal resolution (hourly). Two or mode HFR sites are needed for computing the map of total surface current vectors in the overlapping coverage area. Total velocities are derived using least square fit that maps radial velocities measured from individual sites onto a cartesian grid. The final product is a map of the horizontal components of the ocean currents on a regular grid in the area of overlap of two or more radar stations. contributor_email=glopez@socib.es;ereyes@socib.es contributor_name=Guiomar Lopez;Emma Reyes contributor_role=HFR expert; HFR expert Conventions=CF-1.11, EuroGOOS European HFR Node, COARDS, ACDD-1.3 data_assembly_center=European HFR Node data_character_set=utf8 data_language=eng data_mode=R data_type=HF radar total current data distribution_statement=These data are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact PI prior to any commercial use of data. doa_estimation_method=FORM: Direction Finding, GALF: Direction Finding Easternmost_Easting=1.400685 format_version=v3 geospatial_lat_max=39.1067 geospatial_lat_min=38.32299 geospatial_lat_resolution=0.027024482758620662 geospatial_lat_units=degrees_north geospatial_lon_max=1.400685 geospatial_lon_min=0.5038552 geospatial_lon_resolution=0.03449345384615385 geospatial_lon_units=degrees_east history=Data collected at 2026-10-21T09:00:00Z. netCDF file created at 2026-10-21T09:54:09Z by the European HFR Node. id=HFR-Ibiza-Total_2026-10-21T09:00:00Z infoUrl=https://www.hfrnode.eu/ institution=SOCIB - Balearic Islands Coastal Observing and forecasting System institution_edmo_code=3410 institution_references=https://www.socib.es/, https://www.socib.es keywords_vocabulary=GCMD Science Keywords last_calibration_date=FORM: 2020-03-03T00:00:00Z, GALF: 2017-01-26T00:00:00Z manufacturer=FORM: CODAR SeaSonde, GALF: CODAR SeaSonde metadata_character_set=utf8 metadata_contact=lorenzo.corgnati@sp.ismar.cnr.it metadata_date_stamp=2026-10-21T09:54:09Z metadata_language=eng naming_authority=eu.hfrnode netcdf_format=NETCDF4_CLASSIC netcdf_version=4.9.3 network=HFR_Ibiza Northernmost_Northing=39.1067 platform_code=HFR-Ibiza-Total processing_level=3B project=Jerico-Next; INCREASE; CMEMS-INSTAC phase2 qc_manual=Recommendation Report 2 on improved common procedures for HFR QC analysis: https://dx.doi.org/10.25607/OBP-944 reference_system=EPSG:4326 references=Recommendation Report 2 on improved common procedures for HFR QC analysis: https://dx.doi.org/10.25607/OBP-944 sensor_model=FORM: CODAR SeaSonde, GALF: CODAR SeaSonde site_code=HFR-Ibiza software_name=EU_HFR_NODE_NRTprocessor software_version=v3 source=coastal structure source_platform_category_code=17 sourceUrl=(local files) Southernmost_Northing=38.32299 standard_name_vocabulary=CF Standard Name Table v70 testOutOfDate=now-1day time_coverage_duration=PT1H time_coverage_end=2026-10-21T09:00:00Z time_coverage_resolution=PT1H time_coverage_start=2018-12-01T00:00:00Z topic_category=oceans update_interval=void Westernmost_Easting=0.5038552

  17. h

    SOCIB vessel particulars

    • hifleet.com
    Updated Oct 8, 2026
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    HiFleet船队在线 (2026). SOCIB vessel particulars [Dataset]. https://www.hifleet.com/vessels/9664861/225950380/SOCIB
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    Dataset updated
    Oct 8, 2026
    Dataset authored and provided by
    HiFleet船队在线
    License

    https://www.hifleet.com/account/index.html?type=usagehttps://www.hifleet.com/account/index.html?type=usage

    Variables measured
    IMO, MMSI, shipName, shipType, dataLastUpdated
    Measurement technique
    Matching and standardization of vessel particulars with AIS dynamics
    Description

    Vessel SOCIB(IMO:9664861,MMSI:225950380). HiFleet

  18. D

    2025-03-29 - ICTS SOCIB - CoreTrustSeal Requirements 2020-2022

    • dataverse.nl
    Updated Mar 26, 2024
    + more versions
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    ICTS SOCIB (2024). 2025-03-29 - ICTS SOCIB - CoreTrustSeal Requirements 2020-2022 [Dataset]. http://doi.org/10.34894/RUKGIK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    DataverseNL
    Authors
    ICTS SOCIB
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    CoreTrustSeal certification

  19. g

    Gridded model trajectories from SOCIB's Western Mediterranean Operational...

    • data.griidc.org
    Updated Jul 7, 2026
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    Helga S. Huntley (2026). Gridded model trajectories from SOCIB's Western Mediterranean Operational Forecasting System, hourly positions from 2018-06-01 to 2018-06-03 [Dataset]. http://doi.org/10.7266/k85fe8zm
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    Dataset updated
    Jul 7, 2026
    Dataset provided by
    GRIIDC
    Authors
    Helga S. Huntley
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Synthetic particles trajectories were initialized on the model grid, spaced 0.0038 degrees in latitude and 0.0048 degrees in longitude, yielding roughly 400-m resolution. The grid is 527 (longitude) x 462 (latitude) and roughly covers part of the Alboran Sea; 213934 of these locations have valid trajectories, while the rest are launch grid points on land. Particles were advected with a fourth order Runge-Kutta scheme with a 10-minute time step. The position vector was augmented with the strain tensor components. The underlying velocity field was taken from the surface layer of the 3-hourly archive of a 1-month free run of the Western Mediterranean Operational Forecasting System, an implementation of the Regional Ocean Modeling System (ROMS) maintained by SOCIB. For the computation, archived velocities were linearly interpolated. Positions and strain tensor components are stored hourly, along with flags indicating when synthetic particles have reached either the model coast or an open boundary cell in the model.

    This dataset supports the publication “Conditions for Reliable Divergence Estimates from Drifter Triplets” by Huntley et al (2022). The dataset contains the modeled drifter trajectories and a list of the observed CALYPSO drifter trajectories used in the work to ascertain the usefulness of the results. The full set of CALYPSO drifters can be found at https://www.aoml.noaa.gov/phod/gdp/index.php.

  20. u

    Data from: SOCIB CALYPSO Glider Observations

    • portalinvestigacio.uib.cat
    • apps.socib.es
    Updated 2026
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    Zarokanellos, Nikolaos; Rudnick, Daniel L.; Tintoré, Joaquín; Zarokanellos, Nikolaos; Rudnick, Daniel L.; Tintoré, Joaquín (2026). SOCIB CALYPSO Glider Observations [Dataset]. https://portalinvestigacio.uib.cat/documentos/688b60b217bb6239d2d5432d
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    Dataset updated
    2026
    Authors
    Zarokanellos, Nikolaos; Rudnick, Daniel L.; Tintoré, Joaquín; Zarokanellos, Nikolaos; Rudnick, Daniel L.; Tintoré, Joaquín
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    CALYPSO (Coherent Lagrangian Pathways from the Surface Ocean to Interior) is an ONR Departmental Research Initiative that addresses the challenge of observing, understanding and predicting the three-dimensional pathways by which water from the surface ocean makes its way into the deeper ocean. Discovering the routes by which trace substances, phytoplankton, and dissolved gases like oxygen, are transported vertically, as they are also carried horizontally by oceanic currents, is the goal of this research. An innovative set of observational techniques are being used, along with process study models, predictive models, and data synthesis, to identify coherent pathways for vertical transport and to diagnose and predict the physical processes that underlie such subduction.

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Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Marc Torner; Miguel Charcos; Juan Gabriel Férnandez; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Joaquín Tintoré (2019). SOCIB Glider - Canales Endurance Line [Dataset]. http://doi.org/10.25704/jd07-sv9

SOCIB Glider - Canales Endurance Line

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
2019
Dataset provided by
datacite
Balearic Islands Coastal Observing and Forecasting System, SOCIB
Authors
Albert Miralles; Manuel Rubio; Patricia Rivera; Nikolaos Zarokanellos; Marc Torner; Miguel Charcos; Juan Gabriel Férnandez; Pau Balager; Niko Wirth; Benjamín Casas; Josep Baeza; Noemí Calafat; Mélanie Juza; Xisco Notario; Emma Heslop; Simón Ruiz; Cristian Muñoz; John Allen; Joaquín Tintoré
License

Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically

Area covered
Dataset funded by
Govern de les Illes Balears (http://www.caib.es/)
Ministerio de ciencia, innovación y universidades (http://www.ciencia.gob.es/)
Description

SOCIB Glider Missions - Canales Endurance Line - was initiated in 2011, with in kind collaboration of CSIC (IMEDEA), covering both the Mallorca and Ibiza channel in a semi-continuous operational mode and sampling physical and biogeochemical observations. The Ibiza channel is a well-established biodiversity hotspot and accordingly more intensive monitoring of the Ibiza channel is carried out to capture the mesoscale and submesoscale structures and their relation to the weekly to seasonal and annual/inter-annual variability. On the canales endurance line, ocean gliders making repeated dives from the surface to 1000 m interior of the ocean, repeating the cycle every ~5 hours, and traveling ~5 km in the horizontal during each dive. The canales endurance line is covering both the Mallorca and Ibiza channel in a semi-continuous operational mode. The glider missions typically last about 60 to 90 days, providing 6-10 sections of the Ibiza channel and 2 sections of the Mallorca channel. Since 2011 the Canales Endurance line has completed 108 glider missions, covered 53000 km over the ground, and has more than 97000 physical and biogeochemical profiles.

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