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.

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.

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 U.S. West Coast to produce near real-time surface current maps.

SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.

1 X 1 global mapped field of temperature from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). The error fields represent the mapping error only, and does not include measurement or calculation uncertainties in the input data.

Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2019. 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.

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.

The data set consists of maps of total velocity of the surface currents in the German Bight. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

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 U.S. East and Gulf Coast to produce near real-time surface current maps.

Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2019. 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.