Near Real Time Surface Ocean Radial Velocity by HFR-COSYNA-SYLT

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Sylt (SYLT ) site in the German Bight (North Sea). Data are averaged over a time interval of 20 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Radial Velocity by HFR-COSYNA-WANG

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Wangerooge (WANG) site in the German Bight (North Sea). Data are averaged over a time interval of 20 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Radial Velocity by HFR-EUSKOOS-MIMZ

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Mimizan (MIMZ) site in the Southeastern Bay of Biscay. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Radial Velocity by HFR-Granitola-CGRN

Summary:
The data set consists of maps of radial velocity of the sea water surface current and wave fields collected at Capo Granitola (CGRN) site in the Strait of Sicily (Mediterranean Sea). Data are averaged over a time interval of 15 minutes.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)

Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS


Near Real Time Surface Ocean Radial Velocity by HFR-NAdr-AURI

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Aurisina (AURI) site in the Gulf of Trieste (Northern Adriatic Sea). Data are averaged over a time interval of 30 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Radial Velocity by HFR-NAdr-IZOL

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Izola (IZOL) site in the Gulf of Trieste (Northern Adriatic Sea). Data are averaged over a time interval of 30 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Radial Velocity by HFR-NAdr-PIRA

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Piran (PIRA) site in the Gulf of Trieste (Northern Adriatic Sea). Data are averaged over a time interval of 30 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)

Ministry of the Environment, Climate and Energy, Slovenian Environment Agency - ARSO


Near Real Time Surface Ocean Radial Velocity by HFR-NAdr-TRI1

Summary:
The data set consists of maps of radial velocity of the sea water surface current collected at Trieste Dam (TRI1) site in the Gulf of Trieste (Northern Adriatic Sea). Data are averaged over a time interval of 30 minutes. High Frequency (HF)-RADAR measurements of ocean velocity are radial in direction relative to the radar location and representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
HCSS (Radial variance of current velocity over coverage period, m2 s-2)
EACC (Radial accuracy of current velocity over coverage period, m s-1)
OWTR_QC (Over-water quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
MDFL_QC (Median filter quality flag, 1)
AVRB_QC (Average radial bearing quality flag, 1)
RDCT_QC (Radial count quality flag, 1)
QCflag (Overall quality flag, 1)
DRVA (Direction of radial vector away from instrument, degree_true)
RDVA (Radial sea water velocity away from instrument, m s-1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of maps of total velocity of the surface current along the Northern coast of Sardinia, in the Tyrrhenian Sea, 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of real-time continuous coastal ocean surface current maps in the Malta Channel (Western Mediterranean) averaged over a time interval of 1 hour around the cardinal hour, measured by the coastal High-Frequency Radars. Surface ocean velocities estimated by HF Radar are representative of the upper upper 0.3‑2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
UACC (Accuracy of surface eastward sea water velocity, m s-1)
VACC (Accuracy of surface northward sea water velocity, m s-1)
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


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

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of maps of total velocity of the surface current along the Finnmark coast 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
Surface ocean velocities estimated from this 5 MHz long range High Frequency (HF)-Radar are representative of the upper 2 meters of the water column. The main objective of the near-real time processing is to produce the best product from available data at the time of processing. Radial velocity measurements are obtained from the individual radar sites of the Galician HF-Radar Network. Hourly radial data are combined by unweighted least-squares on a 6km resolution regular Cartesian grid of the Galician Coast to produce near real-time hourly surface currents maps. The technical maintenance and operating is ensured by collaboration among Puertos del Estado (http://www.puertos.es/), Intecmar (www.intecmar.gal) - Xunta de Galicia and Instituto Hidrografico (http://hidrografico.pt).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

INTECMAR - Xunta de Galicia, PUERTOS DEL ESTADO, Instituto Hidrografico


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

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of maps of total velocity of the surface current in the Gulf of Manfredonia (Southern Adriatic Sea) 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

National Research Council - Institute of Marine Science, S.S. Lerici


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

Summary:
The data set consists of maps of total velocity of the surface current in the Gulf of Salerno (Tyrrhenian Sea) 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

National Research Council - Institute of Marine Science - S.S. Napoli, National Research Council - Institute of Marine Science, S.S. Napoli


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

Summary:
OGS High Frequency Radar (HFR) station measuring surface currents and wave fields in the Sicilian strait.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

SOCIB - Balearic Islands Coastal Observing and forecasting System


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

Summary:
The data set consists of maps of total velocity of the surface current along the Catalan coast 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 1.3 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

Catalan Institute of Research for the Governance of the Sea, DirecciÃ³ General de PolÃtica MarÃtima i Pesca Sostenible - Generalitat de Catalunya, DirecciÃ³ General de PolÃtica MarÃtima i Pesca Sostenible - Generalitat de Catalunya


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

Summary:
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).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of maps of total velocity of the surface current in the Gulf of Trieste (Northern Adriatic Sea) averaged over a time interval of 30 minutes. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
UACC (Accuracy of surface eastward sea water velocity, m s-1)
VACC (Accuracy of surface northward sea water velocity, m s-1)
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)

Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, NIB - Nacionalni inštitut za biologijo, Ministry of the Environment, Climate and Energy, Slovenian Environment Agency - ARSO, ARPA FVG


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

Summary:
The data set consists of near-real time surface ocean velocity in the North-East coast of Gran Canaria 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 0.5 meters of the ocean. 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 radar stations, one located at PLOCAN on shore facilities and the other at Las Palmas harbour.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of maps of total velocity of the surface current in the Skagerrak Strait 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
Coastal ocean surface current maps in different areas of the Portuguese Continental shelf measured by High-Frequency Radars (HFR) since 2016. Four HFR sites (SGTR, AFTR, VATR and MAZA-Spain) 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).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

Instituto Hidrografico, PUERTOS DEL ESTADO


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

Summary:
The data set consists of maps of total velocity of the surface current in the North-Western Tyrrhenian Sea and Ligurian Sea 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

National Research Council - Institute of Marine Science - S.S. Lerici, National Research Council - Institute of Marine Science, S.S. Lerici


Near Real Time Surface Ocean Total Velocity by HFR-US-Alaska-Total

Summary:
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 Alaskan North Slope to produce near real-time surface current maps.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Total Velocity by HFR-US-EastGulfCoast-Total

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

NOAA-NDBC, TAMU, ODU, URI, SKIO, UMiami, UNC, WHOI, UMaine, SC, USF, U.Conn, FAU, USM, UMassDart


Near Real Time Surface Ocean Total Velocity by HFR-US-Hawaii-Total

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Total Velocity by HFR-US-PuertoRicoVirginIslands-Total

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


Near Real Time Surface Ocean Total Velocity by HFR-US-WestCoast-Total

Summary:
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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)

NOAA-NDBC, SLO, NPS, BML, ONC, OSU, UCSB, USC, SIO


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

Summary:
The data set consists of maps of total velocity of the surface current along the Western coast of Norway, 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.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
EWCS (Standard deviation of surface eastward sea water velocity, m s-1)
NSCS (Standard deviation of surface northward sea water velocity, m s-1)
CCOV (Covariance of surface sea water velocity, m2 s-2)
POSITION_QC (Position quality flag, 1)


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

Summary:
The data set consists of hourly maps of total velocity of the surface currents in the Irish Sea centered over the Wave Hub off the North Cornwall Coast. Surface ocean velocities estimated by High Frequency (HF) Radar are representative of the upper 0.3-2.5 meters of the ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
UACC (Accuracy of surface eastward sea water velocity, m s-1)
VACC (Accuracy of surface northward sea water velocity, m s-1)
GDOP (Geometrical dilution of precision, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
QCflag (Overall quality flag, 1)
EWCT (Surface eastward sea water velocity, m s-1)
NSCT (Surface northward sea water velocity, m s-1)
POSITION_QC (Position quality flag, 1)


North Adriatic Temperature and Salinity Climatology V1 monthly 1955-1984 and 1985-2016

Summary:
NADR_CLIM_TS_3KM.1 product contains Temperature and Salinity climatological fields for the Northern Adriatic Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.6.1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Salinity (Water body salinity, PSU)
Salinity_L1 (Water body salinity masked using relative error threshold 0.3, PSU)
Salinity_L2 (Water body salinity masked using relative error threshold 0.5, PSU)
Salinity_relerr (Relative error of Water body salinity, PSU)
Temperature (ITS-90 water temperature, degree_C)
Temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of ITS-90 water temperature, degree_C)

Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna


North Adriatic Temperature and Salinity Climatology V1 monthly 1955-2016

Summary:
NADR_CLIM_TS_3KM.1 product contains Temperature and Salinity climatological fields for the Northern Adriatic Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.6.1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Salinity_L2 (Water body salinity masked using relative error threshold 0.5, PSU)
Salinity_relerr (Relative error of Water body salinity, PSU)
Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of ITS-90 water temperature, degree_C)


North Adriatic Temperature and Salinity Climatology V1 seasonal 1955-1984 and 1985-2016


North Adriatic Temperature and Salinity Climatology V1 seasonal 1955-2016


North Adriatic Temperature and Salinity Climatology V1 seasonal decadal 1955-2016


Summary:
Platforms for the continuous low frequency sound monitored under the HELCOM programme in the Baltic sea

cdm_data_type = Point
VARIABLES:
countryCode (Country Code)
institutionDescription (Institution Description)
stationCode (Station Code)
time (Start Date, seconds since 1970-01-01T00:00:00Z)
endDate (End Date, seconds since 1970-01-01T00:00:00Z)
totalNumberOfMeasurements (Total Number Of Measurements)
noSubmissions (No Submissions)
noYears (No Years)
lastupdate
latitude (degrees_north)
longitude (degrees_east)

International Council for the Exploration of the Sea (ICES) · Conseil International pour l'Exploration de la Mer (CIEM)


Profile data from fishing vessels and gears

Summary:
Outdated, all data is included in seperate ERDDAPs: Ocean data collected via fishing vessels aggregated from both science and industry programs. Basic QC routine has been applied, and all flagged data is removed.

cdm_data_type = Profile
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
temperature (degree_C)
salinity (Sea Water Practical Salinity, PSU)
platform_name
sensor_type
vessel_gear_type (Fishing Gear Used as a Sensor Platform)
data_collection_program (Data Collection Program or Industry Body)
vessel_id (Confidential Unique Vessel Identifier)
sensor_id (Confidential Unique Sensor Identifier)
tow_id (Unique Fishing Operation Identifier)
segment_type (Fishing Stage When Data is Collected)
profile_id (Unique Fishing Profile Operation Identifier)
DOI (Digital Object Identifier)
WMO_ID (Confidential Unique WMO Identifier)
nation (Registered Flag state of vessel)
du_id (Deck Unit Inventory PK)
du_serial (Deck Unit Serial Number)
WIGOS_ID (WIGOS Station Identifier)


PSMSL Relative Sea Level Trends

Summary:
Permanent Service for Mean Sea Level (PSMSL), 2020, "Tide Gauge Data", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/

cdm_data_type = Other
VARIABLES:
stationdid
longitude (degrees_east)
latitude (degrees_north)
name
country
trend
uncertainty
period


PSMSL Revised Local Reference (RLR) annual data

Summary:
Permanent Service for Mean Sea Level (PSMSL), 2020, "Tide Gauge Data", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/

cdm_data_type = Other
VARIABLES:
stationid (psmsl station id)
time (seconds since 1970-01-01T00:00:00Z)
SLEV (mean sea level, mm)
MISSINGDAYSFLAG (missing days flag for the year, 1)
ATTENTIONFLAG (number of missing days of data in the month, 1)


PSMSL Revised Local Reference (RLR) monthly data

Summary:
Permanent Service for Mean Sea Level (PSMSL), 2020, "Tide Gauge Data", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/

cdm_data_type = Other
VARIABLES:
stationid (psmsl station id)
time (seconds since 1970-01-01T00:00:00Z)
SLEV (mean sea level, mm)
MISSINGDAYS (number of missing days of data in the month, 1)
ATTENTIONFLAG (number of missing days of data in the month, 1)


PSMSL stations

Summary:
PSMSL stations

cdm_data_type = Point
VARIABLES:
id
name
gloss
glosslink
country
latitude (degrees_north)
longitude (degrees_east)
time (Last Updated, seconds since 1970-01-01T00:00:00Z)
supplier
isrlr
monthlyplot
annualplot
monthlyrlrdata
annualrlrdata
has_rlr_diagram
qcflag
address
metric_start
metric_end
metric_completeness
rlr_start
rlr_end
rlr_completeness
vliz
uhslc_quality
uhslc_fast
sonel


Summary:
Quality-checked meteorological data from the Southern Ocean collected during the Antarctic Circumnavigation Expedition from December 2016 to April 2017

cdm_data_type = Other
VARIABLES:
date_time (date and time of the middle of the time period over which the measurements were averaged in ISO 8601 format YYYY-MM-DDThh:mm:ss+00:00 [UTC])
time (seconds since 1970-01-01T00:00:00Z)
VIS (horizontal visibility [metres], m)
CL1 (height of first cloud level (if SC1==9, CL1 provides the vertical visibility) [metres], m)
CL2 (height of second cloud level [metres], m)
CL3 (height of third cloud level [metres], m)
SC1 (sky cover at first cloud level (If SC1=9 CL1 provides the vertical visibility) [octants, 9])
SC2 (sky cover at second cloud level [octants])
SC3 (sky cover at third cloud level [octants])
RH1 (relative humidity measured by the port sensor [%], %)
TA1 (air temperature measured by the port sensor [degrees Centigrade], degree_C)
DP1 (dew point provided by the port sensor [degrees Centigrade], degree_C)
RH2 (relative humidity measured by the port sensor [%], %)
TA2 (air temperature measured by the port sensor [degrees Centigrade], degree_C)
DP2 (dew point provided by the port sensor [degrees Centigrade], degree_C)
PA1 (atmospheric pressure measured by the port sensor [millibar], millibar)
PA2 (atmospheric pressure measured by the starboard sensor [millibar], millibar)
SR1 (solar radiation measured by the port sensor [Watts per square metre], W m-2)
SR3 (solar radiation measured by the starboard sensor [Watts per square metre], W m-2)
UV1 (ultraviolet radiation measured by the port sensor [Watts per square metre])
UV2 (ultraviolet radiation measured by the startboard sensor [Watts per square metre])
TW1 (wet bulb temperature calculated from RH1 and TA1 [degrees Centigrade], degree_C)
TW2 (wet bulb temperature calculated from RH1 and TA1 [degrees Centigrade], degree_C)
HEADING (ship heading, clockwise from North [degrees], degree)
latitude (degrees_north)
longitude (degrees_east)
... (20 more variables)


RV Hesperides_thermosailnograph

Summary:
Thermosailnograph of RV Hesperides. Sea surface practical salinity and temperture

cdm_data_type = Other
VARIABLES:
cruise_id
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Temperature (Temperature [Degrees Celsius])
Salinity (Sea Water Practical Salinity, PSU)


RV Sarmiento de Gamboa_met

Summary:
Methodology data of RV Sarmiento de Gamboa

cdm_data_type = Point
VARIABLES:
cruise_id
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Wind_speed (m/s)
Wind_direction (Wind From Direction, degrees)
Air_temperature (Air Temperature [Degrees Celsius], °C)
Humidity (%)
Solar_radiation (Solar Radiation [Watts Per Square Metre], Watts/m2)
Air_pressure (hPa)


RV Sarmiento de Gamboa_thermosailnograph

Summary:
Thermosailnograph of RV Sarmiento de Gamboa. Sea surface practical salinity and temperture

cdm_data_type = Other
VARIABLES:
cruise_id
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Temperature (Temperature [Degrees Celsius])
Salinity (Sea Water Practical Salinity, PSU)


Summary:
Part of SAMBA continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
... (45 more variables)


Summary:
Part of CABLE project. Voice of the Ocean Foundation data from a local source.

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
... (41 more variables)


Summary:
Part of NS_Bornholm continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, S m-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
... (42 more variables)


Summary:
Part of NS_Bornholm continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, S m-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
... (43 more variables)


SDC_BalticSea_Climatology_TS_V2_monthly

Summary:
The SDC_BAL_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ITS_90_water_temperature (sea water temperature, 1e-3)
ITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, 1e-3)
ITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, 1e-3)
ITS_90_water_temperature_relerr (Relative error of sea water temperature, 1)
Water_body_salinity (sea water salinity, PSU)
Water_body_salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)
Water_body_salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)
Water_body_salinity_relerr (Relative error of sea water salinity, 1)


SDC_BlackSea_Climatology_TS_V2_monthly (SDC BLS CLIM TS V2 m), 0.125°, 1974-2007

Summary:
The SDC_BLS_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Black Sea
        including the seasonal and monthly fields for period 1955-2019 and 2 subperiods, and the annual and seasonal fields
        for 6 decades starting from 1955 to 2019.  The climatic fields were computed from the integrated Black Sea
        dataset that combines data extracted from the 3 major sources:
        1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis.
        The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.4.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (ITS-90 water temperature, degree_C)
Temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of ITS-90 water temperature, 1)
Salinity (Water_body_salinity, 1e-3)
Salinity_L1 (Water_body_salinity masked using relative error threshold 0.3, 1e-3)
Salinity_L2 (Water_body_salinity masked using relative error threshold 0.5, 1e-3)
Salinity_relerr (Relative error of Water_body_salinity, 1)


SDC_GlobalOcean_Climatology_TS_V2_1

Summary:
SDC_GLO_CLIM_T_1900-2017_025_V2_1 product contains Temperature Climatologies for Global Ocean for period 1900-2017. The climatic fields were computed from World Ocean Database 2013 data set. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis), version 2.3.1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (sea water temperature, degree_C)
Salinity (sea water salinity, PSU)


SDC_MedSea_Climatology_TS_V2_monthly_pre_post_east_mediterranean_transient, 0.125°, 1969-2001

Summary:
SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity climatological fields for the Mediterranean Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.4.0

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (Sea Water In Situ Temperature, degree_C)
Temperature_L1 (Sea Water In Situ Temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (Sea Water In Situ Temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of Sea Water In Situ Temperature, 1)
Salinity (Water body salinity, PSU)
Salinity_L1 (Water body salinity masked using relative error threshold 0.3, PSU)
Salinity_L2 (Water body salinity masked using relative error threshold 0.5, PSU)
Salinity_relerr (Relative error of Water body salinity, PSU)


Summary:
The SDC_NAT_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1950-2019 and seasonal fields for 6 decades starting from 1950 to 2019. Two resolutions have been processed : 1/2Â° and 1/4Â°. The climatic fields were computed from the integrated North Atlantic Ocean dataset that combines data extracted from the 2 major sources: SeaDataNet infrastructure and Coriolis Ocean Dataset for Reanalysis (CORA). The computation was done with the DIVA software, version 4.7.2.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (sea water temperature, 1e-3)
Temperature_L1 (sea water temperature masked using relative error threshold 0.3, 1e-3)
Temperature_L2 (sea water temperature masked using relative error threshold 0.5, 1e-3)
Temperature_relerr (Relative error of sea water temperature, 1)
Salinity (PSU)
Salinity_L1 (Salinity masked using relative error threshold 0.3, PSU)
Salinity_L2 (Salinity masked using relative error threshold 0.5, PSU)
Salinity_relerr (Relative error of Salinity, 1)


SeaDataNet - North Sea Temperature Climatology (SDC NAT CLIM TS V1 050 m), 0.5°, 1955-2014

Summary:
Merged dataset. Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment, Belgian Marine Data Centre data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (sea water temperature, degree_C)
Temperature_L1 (sea water temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (sea water temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of sea water temperature, 1)
Salinity (sea water salinity, PSU)
Salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)
Salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)
Salinity_relerr (Relative error of sea water salinity, 1)


SmartBay Observatory Fluorometer data

Summary:
The SmartBay Observatory in Galway Bay is an underwater observatory which uses
cameras, probes and sensors to permit continuous and remote live underwater monitoring. It was installed in 2015
on the seafloor 1.5km off the coast of Spiddal, Co. Galway, Ireland at a depth of 20-25m. Underwater
observatories allow ocean researchers unique real-time access to monitor ongoing changes in the marine
environment. The Galway Bay Observatory is an important contribution by Ireland to the growing global network of
real-time data capture systems deployed in the ocean. Data relating to the marine environment at the Galway
Observatory site is transferred in real-time through a fibre optic telecommunications cable to the Marine
Institute headquarters and then made publically available on the internet. The data includes a live video
stream, the depth of the observatory node, the water temperature and salinity, and estimates of the chlorophyll
and turbidity levels in the water which give an indication of the volume of phytoplankton and other particles,
such as sediment, in the water. Maintenance take place on the observatory every 18 to 24 months. A WetLabs
ECO-FLNTU is installed on the observatory infrastructure. It measures the fluorescence of the seawater to give
an estimate of the volume of chlorophyll present (indicative of the amount of phytoplankton in the seawater) and
it measures turbidity, or the 'cloudiness' of the seawater, caused by the presence of particles such as sediment
from the seabed suspended in the water. The sensor is deployed on the EMSO Smartbay Cable End Equipment Node in
Galway Bay in approx. 25m depth of water.

cdm_data_type = Point
VARIABLES:
instrument_id
... (13 more variables)


SmartBay Observatory Hydrophone data

Summary:
The SmartBay Observatory in Galway Bay is an underwater observatory which uses
cameras, probes and sensors to permit continuous and remote live underwater monitoring. It was installed in 2015
on the seafloor 1.5km off the coast of Spiddal, Co. Galway, Ireland at a depth of 20-25m. Underwater
observatories allow ocean researchers unique real-time access to monitor ongoing changes in the marine
environment. The SmartBay Observatory is an important contribution by Ireland to the growing global network of
real-time data capture systems deployed in the ocean. Data relating to the marine environment at the SmartBay
Observatory site is transferred in real-time through a fibre optic telecommunications cable to the Marine
Institute headquarters and then made publically available on the internet. The data includes a live video
stream, the depth of the observatory node, the water temperature and salinity, and estimates of the chlorophyll
and turbidity levels in the water which give an indication of the volume of phytoplankton and other particles,
such as sediment, in the water. Maintenance take place on the observatory every 18 to 24 months.This dataset
comprises of processed acoustic data that has been collected from the SmartBay Observatory using an icListen HF
Smart Hydrophone – a digital hydrophone that processes and stores acoustic data. The dataset comprises of
processed data, collected from the SmartBay Observatory since its installation in 2015. The wide frequency range
hydrophone is installed on a separate lander approximately 30m away from the EMSO Smartbay Cable End Equipment
Node in Galway Bay in approx. 25m depth of water at 53 degrees 13.640'N 9 degrees 15.979'W.

cdm_data_type = Point
VARIABLES:
device
... (17 more variables)


Summary:
Part of SAMBA continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
cdom (colored dissolved organic matter, mg m-3)
cdom_qc (quality control flags for colored dissolved organic matter)
cdom_raw (raw colored dissolved organic matter, counts)
cdom_raw_qc (quality control flags for raw colored dissolved organic matter)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
... (43 more variables)


Summary:
Part of NS_Bornholm monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
cdom (colored dissolved organic matter, mg m-3)
cdom_qc (quality control flags for colored dissolved organic matter)
cdom_raw (raw colored dissolved organic matter, counts)
cdom_raw_qc (quality control flags for raw colored dissolved organic matter)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
... (43 more variables)


Summary:
Part of SAMBA continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
backscatter_raw (raw 700 nm wavelength backscatter, counts)
backscatter_scaled (700 nm β total volume scattering coefficient at 117 degree angle, m-1 sr-1)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
cdom (colored dissolved organic matter, mg m-3)
cdom_raw (raw colored dissolved organic matter, counts)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
... (41 more variables)


SMOS BEC global SSS product v2 L3 un V2020

Summary:
This product integrates Sea Surface Salinity measurements provided by the Soil Moisture and Ocean Salinity (SMOS) European satellite mission.
This product provides 9-day integrated satellite Sea Surface Salinity (SSS) measurements at global scale. The product has a spatial resolution of 0.25ºx0.25º and the temporal coverage is from 2011 til May 2021.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uncertainty_sss (Sea Surface Salinity Uncertainty, 1)
hr_sss (High Resolution Sea Surface Salinity, 1)
lr_sss (Low Resolution Sea Surface Salinity, 1)


SMOS BEC global SSS product v2 L4 un V2020

Summary:
This product integrates Sea Surface Salinity measurements provided by the Soil Moisture and Ocean Salinity (SMOS) European satellite mission.
This product provides daily integrated satellite Sea Surface Salinity (SSS) measurements at global scale. The SMOS SSS maps are merged with daily Sea Surface Temperature maps in order to increase the spatial resolution of the original Level 3 SSS maps. The product has a spatial resolution of 0.05ºx0.05º and the temporal coverage is from 2011 til May 2021.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss (Level 4 Sea Surface Salinity, PSU)


SMOS BEC global SSS product v2 L4 un V2020 - REDUCED


Southern Tyrrhenian Sea GEOSTAR-SN3 2003 CTD data

Summary:
The dataset contains sea bottom Conductivity, Temperature and Pressure data (about 1 m above the bottom) acquired through a SBE 16  installed on GEOSTAR-SN3 station. The collection period ranges from December 2003 through April 2004.

cdm_data_type = TimeSeries
VARIABLES:
time (time of measurements, seconds since 1970-01-01T00:00:00Z)
depth (depth of measurements, m)
longitude (longitude of measurements, degrees_east)
latitude (latitude of measurements, degrees_north)
TEMP (temperature, degree_C)
CNDC (conductivity, Siemens per metre)
PRES (pressure, decibar)
PSAL (Practical salinity of the water body, PSU)
PTEMP (potential temperature of sea water, degree_C)
ASAL (Absolute salinity of the water body, Grams per kilogram)
RHO (in-situ density, Kilograms per cubic metre)
TIME_QC (TIME quality control flags)
DEPTH_QC (DEPTH quality control flags)
POSITION_QC (POSITION quality control flags)
TEMP_QC (TEMP quality control flags)
CNDC_QC (CNDC quality control flags)
PRES_QC (PRES quality control flags)

Istituto Nazionale Geofisica e Vulcanologia - Sez. Roma2


Southern Tyrrhenian Sea GEOSTAR-SN3 2004 CTD data

Summary:
The dataset contains sea bottom Conductivity, Temperature and Pressure data (about 1 m above the bottom) acquired through a SBE 16  installed on GEOSTAR-SN3 station. The collection period ranges from June 2004 through May 2005.

cdm_data_type = TimeSeries
VARIABLES:
time (time of measurements, seconds since 1970-01-01T00:00:00Z)
depth (depth of measurements, m)
longitude (longitude of measurements, degrees_east)
latitude (latitude of measurements, degrees_north)
TEMP (temperature, degree_C)
CNDC (conductivity, Siemens per metre)
PRES (pressure, decibar)
PSAL (Practical salinity of the water body, PSU)
PTEMP (potential temperature of sea water, degree_C)
ASAL (Absolute salinity of the water body, Grams per kilogram)
RHO (in-situ density, Kilograms per cubic metre)
TIME_QC (TIME quality control flags)
DEPTH_QC (DEPTH quality control flags)
POSITION_QC (POSITION quality control flags)
TEMP_QC (TEMP quality control flags)
CNDC_QC (CNDC quality control flags)
PRES_QC (PRES quality control flags)


SPI - Bromine monoxide (BrO) measurements made using a MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) instrument in the austral summer of 2016/17 during the Antarctic Circumnavigation Expedition (ACE).

Summary:
To achieve the objectives of the project, we installed a MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) instrument on the vessel “Akademik Tryoshnikov”. This instrument is based on the DOAS technique, which is used to measure trace gas concentrations in the atmosphere. The method consists of the analysis of the spectral absorption lines that each trace gas produces in the solar spectra. The DOAS technique uses the narrowband features that every trace gas has in their spectral absorption coefficients. This differential cross section is unique and acts like a fingerprint for the trace gases, allowing to differentiate between them and to estimate their concentrations (for further details see Platt and Stutz, 2008). In the past decades, atmospheric chemists have come to realize that halogen species (like Cl, Br or I and their oxides ClO, BrO and IO) exert a powerful influence on the chemical composition of the troposphere and through that influence affect the evolution of pollutants, hence having a significant impact on climate. These reactive halogen species are potent oxidizers for organic and inorganic compounds throughout the troposphere. In particular, halogen cycles can act on several compounds (such as methane, ozone, particles…), all of which are climate forcing agents through direct and indirect radiative effects. Dynamic exchange of halogens between ocean, sea ice, snowpack and atmosphere is the main driver for the frequent occurrence of Ozone Depletion Events (ODEs) and Atmospheric Mercury Depletion Events (AMDEs) (Saiz-Lopez and von Glasow, 2012). In this dataset we present the mixing ratio and vertical column density of bromine monoxide (BrO) recorded in the austral summer of 2016/2017 in the Southern Ocean and Atlantic Ocean, averaged over one-hour time periods.

cdm_data_type = Other
VARIABLES:
datetime (Time, seconds since 1970-01-01T00:00:00Z)
bro_mixing_ratio (parts per trillion)
bro_mixing_ratio_unc (parts per trillion)
bro_vcd
bro_vcd_unc


SPI - Cold and warm temperature advection mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.

Summary:
This dataset contains a mask for the identification of cold and warm temperature advection along the Antarctic Circumnavigation Expedition (ACE) track based on a simple method using the difference between the sea surface and air temperature. This mask is a combination of measured air temperature during ACE and sea surface temperature fields from ECMWF operational analysis data.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
maskcw_12h
maskcw_6h
maskcw_all
filter_sif
filter_lsm
latitude (degrees_north)
longitude (degrees_east)

Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland


SPI - Fe chemical speciation collected using trace metal rosette in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.

Summary:
Fe chemical speciation of filtered seawater data are presented in this dataset, resulting from samples collected from a trace metal rosette on board the Antarctic Circumnavigation Expedition (ACE). During the austral summer of 2016/2017, seawater samples were collected from the Atlantic and Indian Ocean sectors of the Southern Ocean and dissolved Fe concentration, iron-binding organic ligands concentration and the conditional stability constant of Fe’ are presented here.

cdm_data_type = Other
VARIABLES:
TMR_cast
ACE_event_number
date_time (Time, seconds since 1970-01-01T00:00:00Z)
ACE_sample_code
latitude (degrees_north)
longitude (degrees_east)
depth (m)
concentration_dissolved_iron_in_seawater (nmol)
concentration_iron_binding_organic_ligands (nmol)
error_concentration_iron_binding_organic_ligands (nmol)
log_conditional_stability_constant_inorganic_iron_binding_ligands (mol-1)
error_log_conditional_stability_constant_inorganic_iron_binding_ligands (mol-1)


SPI - Hydrolysable carbohydrate data collected from the trace metal rosette in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.

Summary:
Hydrolysable carbohydrate (referred to as TPZT from the analytical methodology used) is part of the labile pool of dissolved organic carbon that is excreted by most (micro)organisms or released by continental margins/sediments. It is a carbon source for heterotrophic bacteria. These carbohydrates could also potentially bind iron and act as an iron binding ligand. This data is used to explore the nature of iron ligands and relate to biological and chemical oceanography.

cdm_data_type = Other
VARIABLES:
cruise
station_number
event_number
TMR_cast
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
hydrolysable_carbohydrate_concentration (µmol/L)


SPI - Iodine monoxide (IO) measurements made using a MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) instrument in the austral summer of 2016/17 during the Antarctic Circumnavigation Expedition (ACE).

Summary:
To achieve the objectives of the project, we installed a MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) instrument on the vessel “Akademik Tryoshnikov”. This instrument is based on the DOAS technique, which is used to measure trace gas concentrations in the atmosphere. The method consists of the analysis of the spectral absorption lines that each trace gas produces in the solar spectra. The DOAS technique uses the narrowband features that every trace gas has in their spectral absorption coefficients. This differential cross section is unique and acts like a fingerprint for the trace gases, allowing to differentiate between them and to estimate their concentrations (for further details see Platt and Stutz, 2008). In the past decades, atmospheric chemists have come to realize that halogen species (like Cl, Br or I and their oxides ClO, BrO and IO) exert a powerful influence on the chemical composition of the troposphere and through that influence affect the evolution of pollutants, hence having a significant impact on climate. These reactive halogen species are potent oxidizers for organic and inorganic compounds throughout the troposphere. In particular, halogen cycles can act on several compounds (such as methane, ozone, particles…), all of which are climate forcing agents through direct and indirect radiative effects. Dynamic exchange of halogens between ocean, sea ice, snowpack and atmosphere is the main driver for the frequent occurrence of Ozone Depletion Events (ODEs) and Atmospheric Mercury Depletion Events (AMDEs) (Saiz-Lopez and von Glasow, 2012). In this dataset we present the mixing ratio and vertical column density of iodine monoxide (IO) recorded in the austral summer of 2016/2017 in the Southern Ocean and Atlantic Ocean, averaged over one-hour time periods.

cdm_data_type = Other
VARIABLES:
datetime (Time, seconds since 1970-01-01T00:00:00Z)
io_mixing_ratio (parts per trillion)
io_mixing_ratio_unc (parts per trillion)
io_vcd
io_vcd_unc


SPI - Ionic composition of particulate matter (PM10) from high-volume sampling over the Southern Ocean during the austral summer of 2016/2017 on board the Antarctic Circumnavigation Expedition (ACE).

Summary:
Aerosol particles originate from a variety of sources (Tomasi and Lupi, 2017). Information on particle chemical composition can be utilized to access particle origin. During the Antarctic Circumnavigation Expedition (ACE) cruise around the Southern Ocean, off-line filter sampling of ambient air was performed. Filters were stored on the ship (at -20 degrees C) and after the cruise concluded analysed at Leibniz-Institute for Tropospheric Research (TROPOS) concerning ionic composition of sampled material. Here, we give mass concentrations for inorganic ions (chloride, sodium, potassium, magnesium, calcium, ammonium, nitrate, sulphate, and bromide), organic constituents (methane-sulfonic acid and oxalate), and total filter load of particles with a mobility diameter smaller 10 micrometers (PM10) for each 24 hour-sampled filter.

cdm_data_type = Other
VARIABLES:
start_datetime (Time, seconds since 1970-01-01T00:00:00Z)
start_latitude (latitude, degree_north)
start_longitude (longitude, degree_east)
end_datetime (Time, seconds since 1970-01-01T00:00:00Z)
end_latitude (latitude, degree_north)
end_longitude (longitude, degree_east)
volume_of_sampled_air (m3)
mass_concentration_of_pm10_ambient_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_chloride_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_nitrate_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_sulfate_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_oxalate_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_bromide_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_methanesulfonic_acid_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_sodium_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_ammonium_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_potassium_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_magnesium_dry_aerosol_particles_in_air (kg m-3)
mass_concentration_of_pm10_calcium_dry_aerosol_particles_in_air (kg m-3)
quality_flag


SPI - Nutrient concentration in seawater samples, collected from the underway supply, CTD and trace metal rosettes in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition (ACE).

Summary:
This dataset presents concentrations of nutrients (µmol/L): nitrous oxide (NOx), nitrate, nitrite, ammonium (NH4), phosphate (PO4) and silicic acid (Si), measured in samples of seawater during the Antarctic Circumnavigation Expedition (ACE). Samples were collected from CTD and trace metal rosette (TMR) deployments, as well as from the underway water supply on board, then analysed by flow injection following certified standards. This data was collected to support physical, chemical and biological oceanography studies in the Southern Ocean, conducted as part of ACE during the austral summer of 2016/2017.

cdm_data_type = Other
VARIABLES:
ace_station_number
ace_event_number
date_time_sampling (Time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sampling_method
depth (m)
ace_sample_number
measuring_date
concentration_of_nitrous_oxide (umol L-1)
standard_deviation_of_concentration_of_nitrous_oxide (umol L-1)
concentration_of_phosphate (umol L-1)
standard_deviation_of_concentration_of_phosphate (umol L-1)
concentration_of_nitrite (umol L-1)
standard_deviation_of_concentration_of_nitrite (umol L-1)
concentration_of_silicic_acid (umol L-1)
standard_deviation_of_concentration_of_silicic_acid (umol L-1)
concentration_of_ammonium (umol L-1)
standard_deviation_of_concentration_of_ammonium (umol L-1)
concentration_of_nitrate (umol L-1)
standard_deviation_of_concentration_of_nitrate (umol L-1)
comments


SPI - Reconstructed sea state using ship motion data recorded during the Antarctic Circumnavigation Expedition (ACE).

Summary:
The Antarctic Circumnavigation Expedition (ACE) took place aboard the Russian icebreaker, Akademik Tryoshnikov, from December 2016 to March 2017. Throughout the expedition, the ship's motion was recorded with an Inertial Measurement Unit (IMU) at a sampling rate of 1 Hz. The sea state is reconstructed based on the ship's motion relying on the principle that the vessel is a rigid body with six degrees of freedom that moves in response to the incident wave field and restoring forces. The relation between the ship's motion and the wave field is evaluated via the response amplitude operator R(f), i.e. a ship-specific function that translates the motion spectrum into the wave spectrum. Motion spectra were evaluated by applying a Discrete Fourier Transform to 5-minute time series of heave motion. An approximation of R(f) for the Akademik Tryoshnikov was calculated solving the equation of motion with a model based on the boundary element method.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_wave_significant_height (m)
sea_surface_wave_period_at_variance_spectral_density_maximum (s)
sea_surface_wave_mean_period_from_variance_spectral_density_inverse_frequency_moment (s)
sea_surface_wave_mean_period_from_variance_spectral_density_first_frequency_moment (s)
sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment (s)

Department of Infrastructure Engineering, The University of Melbourne, 3010, Melbourne, VIC, Australia


SPI - Seawater chromium concentrations and isotope compositions in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition (ACE).

Summary:
Dissolved seawater chromium (Cr) concentrations and stable isotope compositions measured on samples collected with a trace metal clean rosette system in the Southern Ocean. Stations TM 7 to TM 12 reflect a north-south transect from Hobart, Tasmania to Mertz Glacier in Antarctica. Stations TM 14 and TM 15 neighbour the Balleny Islands. Stations TM 18 and TM 20 are located in the Drake Passage. Water samples were collected down to a depth of 1000 metres. The water was filtered in a class 100 clean container aboard the ship through pre-rinsed Supor Acropak capsule filters (0.2 um). Subsequently the samples were acidified and stored at a pH < 2 for several months prior to analysis. Reported values therefore represent bulk seawater chromium (Cr III and Cr VI). The data was obtained using the double-spike technique.

cdm_data_type = Other
VARIABLES:
date_time (Time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
trace_metal_rosette_cast_number
ace_event_number
ace_sample_number
depth (m)
chromium_concentration (nmol kg-1)
d53Cr (‰)
internal_error (‰)


SPI - Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.

Summary:
This dataset contains a surface cyclone mask, which records the presence of a surface cyclone along the track of the Antarctic Circumnavigation expedition (ACE). The surface cyclones are calculated applying a 2D cyclone identification algorithm (Wernli and Schwierz, 2006; Sprenger et al., 2017) using global operational analysis data of the European Centre for Medium Range Weather Forecasts.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
cyclone_flag
latitude (degrees_north)
longitude (degrees_east)


SPI - Trace gas mixing ratios measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.

Summary:
The authors would highly appreciate to be contacted if the data is used for any purpose. We measured mixing ratios of CO, CO2 and CH4 with a PICARRO G2401 Gas Analyzer. Ozone (O3) mixing ratios were measured with a 2B Technology ozone monitor, model 205. We report five-minute averaged data cleaned from exhaust gas influence. Temporal coverage is from December 20, 2016 to April 10, 2017. The trace gas concentrations represent a large number of atmospheric processes that happen on different time scales. CO for example, has basically no sources other than combustion and can hence be used as tracer for air mass transport from regions with combustion activities (e.g., South Africa). CO has a lifetime of a few weeks. CO2 and CH4 are longer-lived trace gases which disperse globally. The data set shows that concentrations in the Northern Hemisphere are higher than in the Southern Hemisphere. Both trace gases are emitted by anthropogenic activities as well as natural sources. Over the cruise track, areas of the Southern Ocean were passed where these trace gases either outgas or are absorbed. Ozone is a secondary trace gas, meaning that it is formed in the atmosphere. Its concentrations are relatively low. All trace gases data have been cleaned from exhaust gas influence.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
o3_concentration (ppb)
ch4_concentration (ppm)
co_concentration (ppb)
co2_concentration (ppm)

Paul Scherrer Institute, Villigen, Switzerland


SSS SMOS L4 OI, LOPS-v2021

Summary:
SSS SMOS L4 Optimum Interpolation (OI) - LOPS-v2021. config_73 : SMOS_RE06_L3Q-9d-gauss-varJLV-OI1-V1-500-1-0-OI2-25-1-0.2-medSTD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss (Corrected Practical Sea Surface Salinity (pss-78), PSU)
sss_isas (Reference Practical SSS from ISAS in situ gridded product (pss-78), PSU)
sss_corr_smos (Practical Sea Surface Salinity Correction of SMOS (pss-78), PSU)
sst (Sea Surface Temperature, degree_C)
spiciness0 (Spiciness at p = 0 dbar (75-term equation) computed from TEOS-10 MATLAB Toolbox, kg/m^3)
SA (Absolute Salinity from Practical Salinity computed from TEOS-10 MATLAB Toolbox, g/kg)
CT (Conservative Temperature from in-situ temperature computed from TEOS-10 MATLAB Toolbox, degree_C)
rho (In-situ density computed from TEOS-10 MATLAB Toolbox, kg/m^3)
alpha (Thermal expansion coefficient with respect to Conservative Temperature computed from TEOS-10 MATLAB Toolbox, 1/K)
beta (Haline contraction coefficient at constant Conservative Temperature computed from TEOS-10 MATLAB Toolbox, 1000)
ice_mask (Sea Ice Fraction (>=15 %) from multi-sensor L4 foundation SST product from Remote Sensing Systems)


T-MEDNet database on seawater temperature acquired at high resolution in Mediterranean coastal waters

Summary:
Multi-year seawater temperature time series acquired at hourly frequency in Mediterranean coastal waters using HOBO U22 data loggers (accuracy 0.21Ã¸C, resolution 0.02Ã¸C) set at standard depth levels.

cdm_data_type = TimeSeriesProfile
VARIABLES:
PLATFORMCODE
site_name (T-MEDNet Site Name)
T_MEDNet_partner
institution
longitude (degrees_east)
latitude (degrees_north)
time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)
depth (m)
temperature (sea temperature, degree_Celsius)


TCM - Physiochemical water column parameters and hydrographic time series from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast.

Summary:
To understand circulation and seasonality as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program, temperature, conductivity, salinity, pressure, depth, and current velocity are recorded hourly in situ, starting August 2018 in lagoons across the Beaufort Sea coast (Elson Lagoon, Kaktovik Lagoon, and Jago Lagoon). Moorings include combinations of 1) RBR Concerto CTDs with temperature, conductivity, and pressure sensors; 2) StarOddi CTs with temperature and conductivity sensors; and 3) Lowell TCM-1 Tilt Current meters with MAT-1 Data Loggers for velocity and bearing. In addition, during BLE LTER's annual sampling, water column physiochemical parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) are measured by hand with a YSI data sonde at river, lagoon, and open ocean sites along the Beaufort Sea coast. Here we provide both raw and quality controlled in situ mooring data, the R scripts used for processing, and all YSI sonde data plus a subset used to calibrate and validate the in situ mooring data.

cdm_data_type = Point
VARIABLES:
station (Station_ID)
time (Date Time, seconds since 1970-01-01T00:00:00Z)
station_name
latitude (degrees_north)
longitude (degrees_east)
temperature (°C)
speed (Speed Cm S, cm/s)
heading_degree (degree)
vel_N_cm_s (cm/s)
vel_E_cm_s
flags
habitat_type


The Ocean Race data collection

Summary:
Collection of data collected during The Ocena Race 2023 by racing sailship involved in the competition.

cdm_data_type = TimeSeries
VARIABLES:
PLATFORMCODE (EMODnet Platform Code)
PLATFORNAME (Platform Name)
platformType_code
time (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)
TIME_QC (TIME quality flag, 1)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
ATMS (atmospheric pressure at sea level, hPa)
DRYT (air temperature in dry bulb, degree_Celsius)
EWCT (m/s)
NSCT (m/s)
PSAL (psu)
TEMP (water temperature, degree_Celsius)
WDIR (wind from direction relative true north, degree)
WSPD (horizontal wind speed, m/s)


Summary:
Trends for product CMCC_ASLV_CGLORSv7_GLO

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zos (Sea surface height, m)


Trends for product CMCC_ASLV_GREPv2_GLO

Summary:
Trends for product CMCC_ASLV_GREPv2_GLO

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zos (Sea surface height, m)


Summary:
Part of SAMBA continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
density (water salinity, 1e-3)
density_qc (quality control flags for Density)
... (37 more variables)


Summary:
Part of NS_Bornholm continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
density (water salinity, 1e-3)
density_qc (quality control flags for Density)
... (41 more variables)


Summary:
Part of NS_Bornholm continuous monitoring

cdm_data_type = TimeSeries
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
depth (glider depth, m)
ad2cp_beam1_cell_number1 (glider beam 1 measure from AD2CP in cell 1, m s-1)
ad2cp_beam2_cell_number1 (glider beam 2 measure from AD2CP in cell 1, m s-1)
ad2cp_beam3_cell_number1 (glider beam 3 measure from AD2CP in cell 1, m s-1)
ad2cp_beam4_cell_number1 (glider beam 4 measure from AD2CP in cell 1, m s-1)
ad2cp_heading (glider heading angle from AD2CP, degrees)
ad2cp_pitch (glider pitch angle from AD2CP, degrees)
ad2cp_pressure (glider pressure from AD2CP, dbar)
ad2cp_roll (glider roll angle from AD2CP, degrees)
ad2cp_time (AD2CP recorded time, seconds since 1970-01-01T00:00:00Z)
altimeter (glider altimeter reading)
angular_cmd (glider angular command, degrees)
angular_pos (glider angular position, degrees)
ballast_cmd (glider ballast command, ml)
ballast_pos (glider ballast position, ml)
chlorophyll (mg m-3)
chlorophyll_qc (quality control flags for chlorophyll)
chlorophyll_raw (counts)
conductivity (water conductivity, mS cm-1)
conductivity_qc (quality control flags for water conductivity)
dead_reckoning (None)
declination (degrees)
density (water salinity, 1e-3)
density_qc (quality control flags for Density)
... (40 more variables)