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    The data set consists of maps of total velocity of the surface current in the in the strait of Gibraltar averaged over a time interval of 1 hour around the cardinal hour. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

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    The data set consists of maps of total velocity of the surface current averaged over a time interval of 1 hour around the cardinal hour. Surface ocean velocities estimated by High Frequency (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. 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.

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    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.

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    Marine mammals time-series data data from a local source.

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    The data set consists of maps of total velocity of the surface current in the in Ebro River Delta (SE Spain) averaged over a time interval of 1 hour around the cardinal hour. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

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    Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2020. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

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    Surface ocean velocities estimated from High Frequency (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 Hawaiian Islands to produce near real-time surface current maps.

  • Categories  

    Surface ocean velocities estimated from High Frequency (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 Puerto Rico and the Virgin Islands to produce near real-time surface current maps.

  • Categories  

    The data set consists of maps of total velocity of the surface current in front of Rotterdam harbour averaged over a time interval of 15 minutes. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

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    Coastal ocean surface current maps in different areas of the Portuguese Continental shelf measured by High-Frequency Radars (HFR) since 2012. Two HFR sites (EPSM and JLSM) are needed for computing the map of total surface current vectors in the overlapping coverage area. HFR is routinely used for real-time monitoring of ocean currents in many places around the world with a growing range of near-real time applications (e.g. search and rescue and oil spill monitoring, navigational safety, model assessment and model improvement, throughout data assimilation).