100+ datasets found
  1. n

    ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4)

    • podaac.jpl.nasa.gov
    • s.cnmilf.com
    • +5more
    html
    Updated Apr 19, 2021
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    PO.DAAC (2021). ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4) [Dataset]. http://doi.org/10.5067/ECG5M-OVE44
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    htmlAvailable download formats
    Dataset updated
    Apr 19, 2021
    Dataset provided by
    PO.DAAC
    License

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

    Variables measured
    OCEAN CURRENTS
    Description

    This dataset contains monthly-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

  2. I

    Near-Real Time Subtidal Surface Ocean Velocity, U.S. West Coast, 500m...

    • data.ioos.us
    • catalog.data.gov
    html, opendap, wcs +1
    Updated Jan 9, 2025
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    CeNCOOS (2025). Near-Real Time Subtidal Surface Ocean Velocity, U.S. West Coast, 500m Resolution [Dataset]. https://data.ioos.us/dataset/near-real-time-subtidal-surface-ocean-velocity-u-s-west-coast-500m-resolution
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    wcs, opendap, html, wmsAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    CeNCOOS
    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 500m resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The subtidal current is estimated by applying a 25 hour moving average filter to the hourly surface current maps.

  3. I

    Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 1km...

    • data.ioos.us
    • catalog.data.gov
    html, opendap, wcs +1
    Updated Aug 13, 2024
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    CeNCOOS (2024). Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 1km Resolution [Dataset]. https://data.ioos.us/dataset/near-real-time-year-average-surface-ocean-velocity-u-s-west-coast-1km-resolution
    Explore at:
    html, wms, wcs, opendapAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    CeNCOOS
    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 1km resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The year average is computed from all available hourly near real-time surface current maps for the given year.

  4. d

    Ocean current velocity, temperature and salinity collected during 2010 and...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Jul 1, 2025
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    (Point of Contact) (2025). Ocean current velocity, temperature and salinity collected during 2010 and 2011 in Vieques Sound and Virgin Passage (NCEI Accession 0088063) [Dataset]. https://catalog.data.gov/dataset/ocean-current-velocity-temperature-and-salinity-collected-during-2010-and-2011-in-vieques-sound
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Vieques
    Description

    Nortek 600kHz Aquadopp acoustic current profilers were deployed between March 2010 and April 2011 on shallow water moorings located in Vieques Sound, Puerto Rico, and Virgin Passage USVI. Sea-Bird Electronics CTDs were utilized during cruises conducted between March 2010 and April 2011 in Vieques Sound, Puerto Rico, Virgin Passage USVI, and the surrounding region. Sea-Bird SBE37SM MicroCat Conductivity/Temperature (CT) recorders were deployed between March 2010 and April 2011 on shallow water moorings located in Vieques Sound, Puerto Rico, and Virgin Passage USVI. Teledyne RD Instruments Ocean Surveyor 150kHz and Workhorse 300kHz ADCPs were utilized during cruises conducted between March 2010 and April 2011 in Vieques Sound, Puerto Rico, Virgin Passage USVI, and the surrounding region.

  5. Data from: ECCO Ocean Velocity - Daily Mean llc90 Grid (Version 4 Release 4)...

    • datasets.ai
    • podaac.jpl.nasa.gov
    • +4more
    21, 22, 33
    Updated Aug 6, 2024
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    National Aeronautics and Space Administration (2024). ECCO Ocean Velocity - Daily Mean llc90 Grid (Version 4 Release 4) [Dataset]. https://datasets.ai/datasets/ecco-ocean-velocity-daily-mean-llc90-grid-version-4-release-4-db791
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    33, 21, 22Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    National Aeronautics and Space Administration
    Description

    This dataset provides daily-averaged ocean velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

  6. I

    Near-Real Time Month Average Surface Ocean Velocity, U.S. West Coast, 6km...

    • data.ioos.us
    • datasets.ai
    • +1more
    html, opendap, wcs +1
    Updated Aug 13, 2024
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    CeNCOOS (2024). Near-Real Time Month Average Surface Ocean Velocity, U.S. West Coast, 6km Resolution [Dataset]. https://data.ioos.us/dataset/near-real-time-month-average-surface-ocean-velocity-u-s-west-coast-6km-resolution
    Explore at:
    wms, html, opendap, wcsAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    CeNCOOS
    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 2.4 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 6km resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The month average is computed from all available hourly near real-time surface current maps for the given month.

  7. o

    Ocean Radar - Bonney coast site - Sea water velocity - Delayed mode

    • registry.opendata.aws
    Updated Mar 15, 2017
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    AODN (2017). Ocean Radar - Bonney coast site - Sea water velocity - Delayed mode [Dataset]. https://registry.opendata.aws/aodn_radar_bonneycoast_velocity_hourly_averaged_delayed_qc/
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    Dataset updated
    Mar 15, 2017
    Dataset provided by
    AODN
    Description

    The Bonney Coast (BONC) HF ocean radar system covers an area of the Bonney Coast, South Australia, which has a recurring annual upwelling feature near to the coast that significantly changes the ecosystem from one of warm water originating in Western Australia, to one dominated by cold upwelling water from off the continental shelf. The dynamics of this area and the relationship between ocean circulation, chemistry and sediments control the larval species and the higher marine species and ecosystems in which they forage. The data from this site provide linking observations between the Southern Ocean and NSW through processes that occur on weekly to El Nino time scales. The BONC HF ocean radar system consists of two SeaSonde crossed loop direction finding stations located at Nora Creina (37.329 S 139.850 E) and Blackfellows Cave (37.940 S 140.457 E). These radars operate at a frequency of 5.211 MHz, with a bandwidth of 50 KHz, a maximum range of 200 Km and a range resolution of 3 Km. Within the HF radar coverage area surface currents are measured.This site was decommissioned in March 2017.

  8. S

    The ocean dynamic datasets of seafloor observation network experiment system...

    • scidb.cn
    Updated Aug 7, 2019
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    常永国; 张飞; 郭永刚; 宋晓阳; 杨杰; 刘若芸 (2019). The ocean dynamic datasets of seafloor observation network experiment system at the South China Sea [Dataset]. http://doi.org/10.11922/sciencedb.823
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2019
    Dataset provided by
    Science Data Bank
    Authors
    常永国; 张飞; 郭永刚; 宋晓阳; 杨杰; 刘若芸
    License

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

    Area covered
    South China Sea, China
    Description

    The ocean dynamic datasets of seafloor observation network experiment system at the South China Sea was completed in September 2016. This system provided energy supply and communication transmission channel through optical fiber composite power cable for the deep ocean observation platform, enabling multi-parameter, real-time and continuous ocean observation. The Subsea Dynamic Platform with CTD and ADCP was deployed in June 2017, and the collection of observation data was started from July 2017, including the collection of temperature, conductivity, water pressure from CTD and velocity from ADCP. Based on the raw observation data collected by ADCP and CTD sensors from July 2017 to December 2018, the data processing and quality control algorithm is adopted to remove outliers, add missing values, format the data and finally produce the dataset. The dataset consists of 4 data files in total: Ocean dynamic datasets of South China Sea 2017 - ADCP.CSV, totaling 1.12 MB, Ocean dynamic datasets of South China Sea 2018 - ADCP.CSV, totaling 2.24 MB, Ocean dynamic datasets of South China Sea 2017 – CTD.CSV, totaling 35.6 MB, Ocean dynamic datasets of South China Sea 2018 - CTD.CSV, totaling 73 MB.

  9. HYCOM-OceanTrack: Integrated HYCOM Eulerian Fields and Lagrangian...

    • zenodo.org
    • scholarship.miami.edu
    • +1more
    txt
    Updated Aug 15, 2024
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    Shane Elipot; Shane Elipot; Eli Faigle; Eli Faigle; Brian K. Arbic; Brian K. Arbic; Jay F. Shriver; Jay F. Shriver (2024). HYCOM-OceanTrack: Integrated HYCOM Eulerian Fields and Lagrangian Trajectories Dataset [Dataset]. http://doi.org/10.5281/zenodo.12796468
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    txtAvailable download formats
    Dataset updated
    Aug 15, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Shane Elipot; Shane Elipot; Eli Faigle; Eli Faigle; Brian K. Arbic; Brian K. Arbic; Jay F. Shriver; Jay F. Shriver
    License

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

    Description

    A combined dataset on the Registry of Open Data on AWS of simulated ocean sea surface height, near-surface velocities, and particle trajectories from a global 1/25th degree HYbrid Coordinate Ocean Model (HYCOM) 1-year run.

  10. E

    World Ocean Isopycnal-Level Velocity Inverted from GDEM with the P-Vector...

    • bodc.ac.uk
    • data-search.nerc.ac.uk
    nc
    Updated Apr 21, 2021
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    Naval Postgraduate School, Department of Oceanography (2021). World Ocean Isopycnal-Level Velocity Inverted from GDEM with the P-Vector Method [Dataset]. https://www.bodc.ac.uk/resources/inventories/edmed/report/6274/
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    ncAvailable download formats
    Dataset updated
    Apr 21, 2021
    Dataset authored and provided by
    Naval Postgraduate School, Department of Oceanography
    License

    https://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/

    Time period covered
    Jan 1, 1900 - Present
    Area covered
    Earth, World
    Description

    The World Ocean Isopycnal-Level Velocity (WOIL-V) climatology was derived from the United States Navy's Generalised Digital Environmental Model (GDEM) temperature and salinity profiles, using the P-Vector Method. The absolute velocity data have the same horizontal resolution and temporal variation (annual, monthly) as GDEM (T, S) fields. These data have an horizontal resolution of 0.5 degrees ×0.5 degrees, and 222 isopycnal-levels (sigma theta levels) from sigma theta = 22.200 to 27.725 (kg m-3) with the increment delta sigma theta = 0.025 (kg m-3), however in the equatorial zone (5 degrees S – 5 degrees N) they are questionable due to the geostrophic balance being the theoretical base for the P-vector inverse method. The GDEM model, which served as the base for the calculations includes data from 1920s onwards and the WOIL-V will be updated with the same frequency as the GDEM. The climatological velocity field on isopycnal surface is dynamically compatible to the GDEM (T, S) fields and provides background ocean currents for oceanographic and climatic studies, especially in ocean isopycnal modeling. The climatology was prepared by the Department of Oceanography, Naval Postgraduate School.

  11. A

    Near-Real Time Surface Ocean Velocity, U.S. West Coast, 6 km Resolution

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    html, opendap, wcs
    Updated Jul 15, 2019
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    IOOS (2019). Near-Real Time Surface Ocean Velocity, U.S. West Coast, 6 km Resolution [Dataset]. https://data.amerigeoss.org/dataset/near-real-time-surface-ocean-velocity-u-s-west-coast6-km-resolution
    Explore at:
    html, wcs, opendapAvailable download formats
    Dataset updated
    Jul 15, 2019
    Dataset provided by
    IOOS
    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 6 km resolution grid of the U.S. West Coast to produce near real-time surface current maps.

  12. g

    Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 500m...

    • gimi9.com
    Updated Jan 25, 2020
    + more versions
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    (2020). Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 500m Resolution | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_near-real-time-year-average-surface-ocean-velocity-u-s-west-coast-500m-resolution
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    Dataset updated
    Jan 25, 2020
    License

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

    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 500m resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The year average is computed from all available hourly near real-time surface current maps for the given year.

  13. Data from: ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean 0.5...

    • datasets.ai
    • s.cnmilf.com
    • +6more
    21, 22, 33
    Updated Aug 27, 2024
    + more versions
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    National Aeronautics and Space Administration (2024). ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4) [Dataset]. https://datasets.ai/datasets/ecco-gent-mcwilliams-ocean-bolus-velocity-monthly-mean-0-5-degree-version-4-release-4-b4027
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    21, 33, 22Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    National Aeronautics and Space Administration
    Description

    This dataset contains monthly-averaged Gent-McWilliams ocean bolus velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

  14. o

    Ocean Radar - Northwest shelf site - Sea water velocity - Delayed mode

    • registry.opendata.aws
    Updated Feb 11, 2025
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    AODN (2025). Ocean Radar - Northwest shelf site - Sea water velocity - Delayed mode [Dataset]. https://registry.opendata.aws/aodn_radar_northwestshelf_velocity_hourly_averaged_delayed_qc/
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    Dataset updated
    Feb 11, 2025
    Dataset provided by
    AODN
    Description

    The Northwest Shelf (NWA) HF ocean radar system covers an area which includes the Ningaloo Peninsula and the Ningaloo Reef to the west. The Ningaloo Reef is one of the longest and most pristine reefs in the world. The reef is rich in marine biodiversity, with shark whales, turtles and fish aggregations, and high primary and secondary productions which are controlled by the physical oceanographic processes. The NWA HF ocean radar is a WERA phased array system with 12-element receive arrays located at the Jurabi Turtle Centre (21.8068 S, 114.1015 E) and Point Billie (22.5432 S, 113.690 E). These radars operate at a frequency of 5.2625 MHz, with a bandwidth of 25 KHz and a maximum range of 200 Km. Within the HF radar coverage area surface currents are measured. Data are also collected from which wind directions and significant wave height can be calculated.

  15. I

    Near-Real Time Month Average Surface Ocean Velocity, U.S. West Coast, 1km...

    • data.ioos.us
    • catalog.data.gov
    html, opendap, wcs +1
    Updated Aug 13, 2024
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    CeNCOOS (2024). Near-Real Time Month Average Surface Ocean Velocity, U.S. West Coast, 1km Resolution [Dataset]. https://data.ioos.us/dataset/near-real-time-month-average-surface-ocean-velocity-u-s-west-coast-1km-resolution
    Explore at:
    wcs, opendap, html, wmsAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    CeNCOOS
    Area covered
    West Coast of the United States, United States
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least squares on a 1km resolution grid of the U.S. West Coast to produce hourly near real-time surface current maps. The month average is computed from all available hourly near real-time surface current maps for the given month.

  16. d

    Near-Real Time Surface Ocean Velocity, US East and Gulf Coast, 2km...

    • datadiscoverystudio.org
    opendap
    Updated Nov 19, 2018
    + more versions
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    Mark Otero; Mark Otero; Mark Otero; Mark Otero; Mark Otero (2018). Near-Real Time Surface Ocean Velocity, US East and Gulf Coast, 2km Resolution (GNOME) [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a5effd07b1784f8e8e8141107b34cab3/html
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    opendapAvailable download formats
    Dataset updated
    Nov 19, 2018
    Authors
    Mark Otero; Mark Otero; Mark Otero; Mark Otero; Mark Otero
    Area covered
    Description

    Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 2 km resolution grid of the U.S. East and Gulf Coast to produce near real-time surface current maps.Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 2 km resolution grid of the U.S. East and Gulf Coast to produce near real-time surface current maps.Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 2 km resolution grid of the U.S. East and Gulf Coast to produce near real-time surface current maps.Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 2 km resolution grid of the U.S. East and Gulf Coast to produce near real-time surface current maps.Surface ocean velocities estimated from HF-Radar are representative of the upper 0.3 - 2.5 meters of the ocean. The main objective of near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from individual radar sites through the U.S. HF-Radar Network. Hourly radial data are processed by unweighted least-squares on a 2 km resolution grid of the U.S. East and Gulf Coast to produce near real-time surface current maps.

  17. d

    Regional Ocean Modeling System (ROMS) www.myroms.org - MARCOOS

    • datadiscoverystudio.org
    Updated Apr 30, 2015
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    (2015). Regional Ocean Modeling System (ROMS) www.myroms.org - MARCOOS [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cd4f67e53f9f4fbea7a0b4786674cd9c/html
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    Dataset updated
    Apr 30, 2015
    Area covered
    Description

    ROMS MARCOOS covers Cape Cod to Cape Hatteras and the Slope Sea. 4DVAR data assimilation of alongtrack altimetry, satellite SST, HF radar and AUV data constrains the model state in 3-day duration analysis cycles. The system is a test-bed for 4DVAR assimilation and observing system design. [ Model Input Types: Remotely Sensed Information In Situ Information Model Output ] [ Products and Services Supported: Reanalysis of ocean temperature, salinity, velocity and sea level. Experimental simulation of biogeochemical properties including chlorophyll, DIC, DOC, oxygen, nitrogen, POC. ] [ Partner Organizations with Shared Resources: NOAA, ONR, NASA, NSF ] [ Additional Information: ]

  18. d

    Eastward and northward components of ocean current velocity collected from...

    • datadiscoverystudio.org
    Updated Jun 20, 2017
    + more versions
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    Smith, J. D. (2017). Eastward and northward components of ocean current velocity collected from moorings in North East Pacific Coast from 1967-09-01 to 1969-10-16 (NCEI Accession 0163399)Accession Number [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/7f517f9814c446ca80a7402fff95ecff/html
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    originator data format, originator data format(1.124)Available download formats
    Dataset updated
    Jun 20, 2017
    Authors
    Smith, J. D.
    Area covered
    Description

    The University of Washington recovered 8 current meters, B,C,N,O,S,V,Z,AA deployed on the continental shelf off the Washington coast. Current meters used were Braincon (BR) instruments measuring speed and direction. Data was sampled in 20 minute intervals, then edited for spurious values. Smoothing was done on the components of the velocity vector, using a 9 point binomial filter. Data file format is plain text.

  19. Raw physical oceanography, ocean current velocity, bio-optical and...

    • doi.pangaea.de
    html, tsv
    Updated Jul 22, 2022
    + more versions
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    Thomas Soltwedel; Mario Hoppmann; Wilken-Jon von Appen; Jakob Barz; Jana Bäger; Christina Bienhold; Lennard Frommhold; Jonas Hagemann; Theresa Hargesheimer; Morten Hvitfeldt Iversen; Nadine Knüppel; Christian Konrad; Klara Köhler; Normen Lochthofen; Janine Ludszuweit; Rebecca McPherson; Matthias Monsees; Anja Nicolaus; Eva-Maria Nöthig; Daniel Scholz; Rafael Stiens; Sinhué Torres-Valdés; Matthias Wietz; Katja Metfies (2022). Raw physical oceanography, ocean current velocity, bio-optical and biogeochemical data from mooring HG-EGC-6 in the Fram Strait, August 2019 - June 2021 [Dataset]. http://doi.org/10.1594/PANGAEA.946539
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    html, tsvAvailable download formats
    Dataset updated
    Jul 22, 2022
    Dataset provided by
    PANGAEA
    Authors
    Thomas Soltwedel; Mario Hoppmann; Wilken-Jon von Appen; Jakob Barz; Jana Bäger; Christina Bienhold; Lennard Frommhold; Jonas Hagemann; Theresa Hargesheimer; Morten Hvitfeldt Iversen; Nadine Knüppel; Christian Konrad; Klara Köhler; Normen Lochthofen; Janine Ludszuweit; Rebecca McPherson; Matthias Monsees; Anja Nicolaus; Eva-Maria Nöthig; Daniel Scholz; Rafael Stiens; Sinhué Torres-Valdés; Matthias Wietz; Katja Metfies
    License

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

    Time period covered
    Aug 29, 2019 - Jun 15, 2021
    Area covered
    Variables measured
    File content, Binary Object, Binary Object (File Size)
    Description

    Time-series data of physical & biological oceanography, ocean current velocities, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring HG-EGC-6 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of three Seabird SBE37 microcats (nominal depths: 67m, 236m, 453m; sampling interval 1h), three AADI RCM11 current meters (nominal depths: 74m, 243m, 456m; sampling interval 1h), one AADI Seaguard current meter (nominal depth: 981m, sampling interval 1h), one Wetlabs ECO PAR sensor (nominal depth: 67m; sampling interval 2h), one Wetlabs ECO Triplet fluorometer (nominal depth: 67m; sampling interval 2h), two Satlantic SUNA nitrate sensors (nominal depths: 67m, 236m; sampling interval 6h), two Sunburst SAMI-pCO2 sensors (nominal depths: 67m, 236m; sampling interval 2h) and two Sunburst SAMI-pH sensors (nominal depths: 67m, 236m; sampling interval 3h). The mooring also included two McLane RAS water samplers (nominal depths: 67m, 236m) and two sediment traps (nominal depths: 449m, 522m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.

  20. g

    Data from: Near-surface velocity climatology for the global ocean from...

    • data.griidc.org
    • search.dataone.org
    Updated Mar 1, 2017
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    Lucas Laurindo (2017). Near-surface velocity climatology for the global ocean from drifter observations [Dataset]. http://doi.org/10.7266/N7SJ1HN5
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    Dataset updated
    Mar 1, 2017
    Dataset provided by
    GRIIDC
    Authors
    Lucas Laurindo
    License

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

    Area covered
    Description

    Time-mean and seasonal climatology of near-surface currents for the world, at quarter-degree and 15-day resolution, calculated from observations from satellite-tracked 15-m drogued and undrogued drifters of the NOAA's Global Drifter Program. This climatology incorporates more than 29 million, six hour position/velocity estimates scattered throughout the world’s ice-free oceans, from February 1979 to June 2015.

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PO.DAAC (2021). ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4) [Dataset]. http://doi.org/10.5067/ECG5M-OVE44

ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4)

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2 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Apr 19, 2021
Dataset provided by
PO.DAAC
License

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

Variables measured
OCEAN CURRENTS
Description

This dataset contains monthly-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

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