CMEMS - CORA: Coriolis Ocean database for ReAnalysis

Summary:
"The COriolis Ocean Dataset for Reanalysis (hereafter ""CORA"") product is a global dataset of in situ temperature and salinity measurements. The CORA observations comes from many different sources collected by Coriolis data centre in collaboration with the In Situ Thematic Centre of the Copernicus Marine Service (CMEMS INSTAC). The observation integrated in the CORA product have been acquired both by autonomous platforms (Argo profilers, fixed moorings , gliders , drifters, sea mammals) , research or opportunity vessels (CTDs, XBTs, ferrybox).
From the near real time CMEMS In Situ Thematic Centre product validated on a daily and weekly basis for forecasting purposes, a scientifically validated product is created. It s a ""reference product"" updated on a yearly basis since 2007. This product has been controlled using an objective analysis (statistical tests) method and a visual quality control (QC). This QC procedure has been developed with the main objective to improve the quality of the dataset to the level required by the climate application and the physical ocean re-analysis activities. It provides T and S weekly gridded fields and individual profiles both on their original level with QC flags and interpolated level. The measured parameters, depending on the data source, are : temperature, salinity. The reference level of measurements is immersion (in meters) or pressure (in decibars).
CORA contains historical profiles extracted from the EN.4 global T&S dataset, World Ocean Atlas, SeaDataNet, ICES and other data aggregators."

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
PSAL (practical salinity, psu)
PSAL_ERR (Practical salinity Error, PSS-78)
PSAL_PCTVAR (Error on salinity  (% variance), percent)


Summary:
"The COriolis Ocean Dataset for Reanalysis (hereafter ""CORA"") product is a global dataset of in situ temperature and salinity measurements. The CORA observations comes from many different sources collected by Coriolis data centre in collaboration with the In Situ Thematic Centre of the Copernicus Marine Service (CMEMS INSTAC). The observation integrated in the CORA product have been acquired both by autonomous platforms (Argo profilers, fixed moorings , gliders , drifters, sea mammals) , research or opportunity vessels (CTDs, XBTs, ferrybox).
From the near real time CMEMS In Situ Thematic Centre product validated on a daily and weekly basis for forecasting purposes, a scientifically validated product is created. It s a ""reference product"" updated on a yearly basis since 2007. This product has been controlled using an objective analysis (statistical tests) method and a visual quality control (QC). This QC procedure has been developed with the main objective to improve the quality of the dataset to the level required by the climate application and the physical ocean re-analysis activities. It provides T and S weekly gridded fields and individual profiles both on their original level with QC flags and interpolated level. The measured parameters, depending on the data source, are : temperature, salinity. The reference level of measurements is immersion (in meters) or pressure (in decibars).
CORA contains historical profiles extracted from the EN.4 global T&S dataset, World Ocean Atlas, SeaDataNet, ICES and other data aggregators."

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
TEMP (sea temperature, degree_Celsius)
TEMP_ERR (Temperature Error, degree_Celsius)
TEMP_PCTVAR (Error on temperature  (% variance), percent)


Data from a local source.

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [depth][time][latitude][longitude]):
DENSITY


Summary:
Deseasonalized Monthly mean 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)


Summary:
Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO

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


Summary:
EMODnet - Regional sea level trends are derived from the GLORYS12v1 delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation

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


Summary:
EMODnet Physics - Absolute Sea Level Trends - trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, mm/yr)


EMODnet Physics - Arctic Sea Surface Temperature Climatology (1900-2014) - GridSeriesObservation - based on the SeaDataNet aggregated dataset

Summary:
No comment. Institute of Marine Research, Norwegian Marine Data Centre data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (degree_C)
Temperature_err (Error standard deviation of Temperature, degree_C)
Temperature_L1 (Temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (Temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of Temperature)
databins (Logarithm10 of number of data in bins)
outlbins (Logarithm10 of number of outliers data in bins)
CLfield (Correlation length field)


EMODnet Physics - Atlantic Sea Surface Temperature Climatology (1900-2014) - GridSeriesObservation - based on the SeaDataNet aggregated dataset

Summary:
No comment. University of Liege, GeoHydrodynamics and Environment Research data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Temperature (degree_C)
Temperature_err (Error standard deviation of Temperature, degree_C)
Temperature_L1 (Temperature masked using relative error threshold 0.3, degree_C)
Temperature_L2 (Temperature masked using relative error threshold 0.5, degree_C)
Temperature_relerr (Relative error of Temperature)
databins (Logarithm10 of number of data in bins)
outlbins (Logarithm10 of number of outliers data in bins)
CLfield (Correlation length field)


Summary:
EMODnet Physics - CURRENTS YEARLY RECORDING DENSITY

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
DENSITY


Summary:
EMODnet Physics - Deseasonalized Sea Level monthly means Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, m)


Summary:
EMODnet Physics - RIVER FLOW YEARLY RECORDING DENSITY

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
DENSITY


EMODnet Physics - SALINITY ANOMALY 30 YEARS

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ANOMALY (psu)


EMODnet Physics - Sea Level monthly mean, Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, m)


EMODnet Physics - TEMPERATURE ANOMALY 30 YEARS

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ANOMALY (degree_Celsius)


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - BALTIC SEA

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
conc_tsm_mean


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - DANUBE

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
conc_tsm_mean


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - MEDITERRANEAN SEA

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
conc_tsm_mean


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - MEDITERRANEAN SEA - LOW RESOLUTION

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
conc_tsm_mean


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - NORTH SEA

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
conc_tsm_mean (Concentration of total suspended matter, mg/l)


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - PO

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
conc_tsm_mean


Summary:
EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - River regions of interest

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TSMNN


Summary:
EMODPACE - Absolute sea level trend (1993 - 2019) - derived from CMCC-CGLORSv7 reanalysis

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


Summary:
EMODPACE - Absolute sea level trend (1993 - 2019) - derived from CMEMS-DUACS (DT-2018) satellite altimetry

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, mm/yr)


Summary:
EMODPACE - Absolute sea level trend (1993 – 2019) - derived from CMEMS-GLORYS12v1 reanalysis

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


Summary:
EMODPACE - Absolute sea level trend (1993 – 2019) - derived from NMDIS - CORAv1

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zos (Sea Surface Height, mm/yr)

National Marine Data and Information Service,Ministry of Natural Resource


Summary:
EMODPACE - Absolute sea level trend (1993 – 2019) – derived from CMEMS-GREPv2 reanalysis ensemble

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


Summary:
EMODPACE - Absolute sea level trend (2004 - 2019) - derived from NMDIS - CORAv2

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
zos (Sea Surface Height, mm/y)


Summary:
EMODPACE - Deseasonalized Monthly mean 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)


Summary:
EMODPACE - Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO

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


Summary:
EMODPACE - Monthly sea level derived from CMCC-CGLORSv7 reanalysis (1993-2019)

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


Summary:
EMODPACE - Monthly sea level derived from CMEMS-DUACS (DT-2018) satellite altimetry (1993-2019)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, m)


Summary:
EMODPACE - Monthly sea level derived from CMEMS-GLORYS12v1 reanalysis (1993-2019)

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


Summary:
EMODPACE - Monthly sea level derived from CMEMS-GREPv2 reanalysis ensemble (1993-2019)

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


Summary:
EMODPACE - Monthly sea level derived from derived from NMDIS - CORAv1 reanalysis (1993-2019)

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


Summary:
EMODPACE - Monthly sea level derived from derived from NMDIS - CORAv2 reanalysis (2004-2019)

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


Summary:
EMODPACE - Regional sea level trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation. SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, mm/yr)


Summary:
EMODPACE - Sea Level monthly mean, EurAsia. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, m)


Gap-filled suface currents in the south-eastern Bay of Biscay by AZTI

Summary:
2DVAR gap filled currents derived from High Frequency Radar (HFR) - EUSKOOS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
NSCT (North-south current component, m s-1)
EWCT (West-east current component, m s-1)


Global Ocean Data Analysis Project for Carbon (GLODAP)

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
NO3 (moles of nitrate per unit mass in seawater, micro-mol kg-1)
NO3_error (nitrate error, micro-mol kg-1)
NO3_relerr (relative error)
NO3_Input_mean (bin averaged input data, micro-mol kg-1)
NO3_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)
NO3_Input_N (number of data in bins)


Global Ocean Data Analysis Project for Carbon (GLODAP) - Mapped Climatologies v2 2016b

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [depth][latitude][longitude]):
Cant (moles of anthropogenic carbon content per unit mass in seawater, micro-mol kg-1)
Cant_error (anthropogenic carbon content error, micro-mol kg-1)
Cant_Input_mean (bin averaged input data, micro-mol kg-1)
Cant_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)
Cant_Input_N (number of data in bins)
Cant_relerr (relative error)
NO3 (moles of nitrate per unit mass in seawater, micro-mol kg-1)
NO3_error (nitrate error, micro-mol kg-1)
NO3_Input_mean (bin averaged input data, micro-mol kg-1)
NO3_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)
NO3_Input_N (number of data in bins)
NO3_relerr (relative error)
OmegaA (aragonite saturation state calculated at in situ temperature and pressure)
OmegaA_error (OmegaAr error)
OmegaA_Input_mean (bin averaged input data, micro-mol kg-1)
OmegaA_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)
OmegaA_Input_N (number of data in bins)
OmegaA_relerr (relative error)
OmegaC (calcite saturation state calculated at in situ temperature and pressure)
OmegaC_error (OmegaCa error)
OmegaC_Input_mean (bin averaged input data, micro-mol kg-1)
OmegaC_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)
OmegaC_Input_N (number of data in bins)
... (61 more variables)

Global Ocean Data Analysis Project (GLODAP)


Global Ocean, Gridded In Situ reprocessed carbon observations, SOCATv2024 (decadal)

Summary:
Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2024. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
count_ncruise_decade (Number of cruises, count)
fco2_count_nobs_decade (Number of fco2 obs, count)
fco2_ave_weighted_decade (fCO2 mean - per cruise weighted, uatm)
fco2_ave_unwtd_decade (fCO2 mean - unweighted all obs, uatm)
fco2_min_unwtd_decade (fCO2 min, uatm)
fco2_max_unwtd_decade (fCO2 max, uatm)
sst_count_nobs_decade (Number of valid sst obs, count)
sst_ave_weighted_decade (SST mean - per cruise weighted, degree_C)
sst_ave_unwtd_decade (SST mean - unweighted all obs, degree_C)
sst_min_unwtd_decade (SST min, degree_C)
sst_max_unwtd_decade (SST max, degree_C)
salinity_count_nobs_decade (Number of valid salinity obs, count)
salinity_ave_weighted_decade (Salinity mean - per cruise weighted, PSU)
salinity_ave_unwtd_decade (Salinity mean - unweighted all obs, PSU)
salinity_min_unwtd_decade (Salinity min, PSU)
salinity_max_unwtd_decade (Salinity max, PSU)


Global Ocean, Gridded In Situ reprocessed carbon observations, SOCATv2024 (monthly)

Summary:
Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2024. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
count_ncruise (Number of cruises, count)
fco2_count_nobs (Number of fco2 obs, count)
fco2_ave_weighted (fCO2 mean - per cruise weighted, uatm)
fco2_ave_unwtd (fCO2 mean - unweighted all obs, uatm)
fco2_min_unwtd (fCO2 min, uatm)
fco2_max_unwtd (fCO2 max, uatm)
fco2_std_weighted (fCO2 std dev - per cruise weighted, uatm)
fco2_std_unwtd (fCO2 std dev - unweighted all obs, uatm)
sst_count_nobs (Number of valid sst obs, count)
sst_ave_weighted (SST mean - per cruise weighted, degree_C)
sst_ave_unwtd (SST mean - unweighted all obs, degree_C)
sst_min_unwtd (SST min, degree_C)
sst_max_unwtd (SST max, degree_C)
sst_std_weighted (SST std dev - per cruise weighted, degree_C)
sst_std_unwtd (SST std dev - unweighted all obs, degree_C)
salinity_count_nobs (Number of valid salinity obs, count)
salinity_ave_weighted (Salinity mean - per cruise weighted, PSU)
salinity_ave_unwtd (Salinity mean - unweighted all obs, PSU)
salinity_min_unwtd (Salinity min, PSU)
salinity_max_unwtd (Salinity max, PSU)
salinity_std_weighted (Salinity std dev - per cruise weighted, PSU)
salinity_std_unwtd (Salinity std dev - unweighted all obs, PSU)
lat_offset_unwtd (Latitude average offset from cell center, Deg N)
lon_offset_unwtd (Longitude average offset from cell center, Deg E)


Global Ocean, Gridded In Situ reprocessed carbon observations, SOCATv2024 (quarter-degree coastal)

Summary:
Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2024. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
coast_count_ncruise (Number of cruises, count)
coast_fco2_count_nobs (Number of fco2 obs, count)
coast_fco2_ave_unwtd (fCO2 mean - unweighted all obs, uatm)
coast_fco2_ave_weighted (fCO2 mean - per cruise weighted, uatm)
coast_fco2_max_unwtd (fCO2 max, uatm)
coast_fco2_min_unwtd (fCO2 min, uatm)
coast_fco2_std_unwtd (fCO2 std dev - unweighted all obs, uatm)
coast_fco2_std_weighted (fCO2 std dev - per cruise weighted, uatm)
coast_sst_count_nobs (Number of valid sst obs, count)
coast_sst_ave_unwtd (SST mean - unweighted all obs, degree_C)
coast_sst_ave_weighted (SST mean - per cruise weighted, degree_C)
coast_sst_max_unwtd (SST max, degree_C)
coast_sst_min_unwtd (SST min, degree_C)
coast_sst_std_unwtd (SST std dev - unweighted all obs, degree_C)
coast_sst_std_weighted (SST std dev - per cruise weighted, degree_C)
coast_salinity_count_nobs (Number of valid salinity obs, count)
coast_salinity_ave_unwtd (Salinity mean - unweighted all obs, PSU)
coast_salinity_ave_weighted (Salinity mean - per cruise weighted, PSU)
coast_salinity_max_unwtd (Salinity max, PSU)
coast_salinity_min_unwtd (Salinity min, PSU)
coast_salinity_std_unwtd (Salinity std dev - unweighted all obs, PSU)
coast_salinity_std_weighted (Salinity std dev - per cruise weighted, PSU)
coast_lat_offset_unwtd (Latitude average offset from cell center, Deg N)
coast_lon_offset_unwtd (Longitude average offset from cell center, Deg E)


Global Ocean, Gridded In Situ reprocessed carbon observations, SOCATv2024 (yearly)

Summary:
Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2024. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
count_ncruise_year (Number of cruises, count)
fco2_count_nobs_year (Number of fco2 obs, count)
fco2_ave_weighted_year (fCO2 mean - per cruise weighted, uatm)
fco2_ave_unwtd_year (fCO2 mean - unweighted all obs, uatm)
fco2_min_unwtd_year (fCO2 min, uatm)
fco2_max_unwtd_year (fCO2 max, uatm)
sst_count_nobs_year (Number of valid sst obs, count)
sst_ave_weighted_year (SST mean - per cruise weighted, degree_C)
sst_ave_unwtd_year (SST mean - unweighted all obs, degree_C)
sst_min_unwtd_year (SST min, degree_C)
sst_max_unwtd_year (SST max, degree_C)
salinity_count_nobs_year (Number of valid salinity obs, count)
salinity_ave_weighted_year (Salinity mean - per cruise weighted, PSU)
salinity_ave_unwtd_year (Salinity mean - unweighted all obs, PSU)
salinity_min_unwtd_year (Salinity min, PSU)
salinity_max_unwtd_year (Salinity max, PSU)


HF RADAR TOTAL - Arpas

Summary:
HF RADAR TOTAL - Arpas

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Calypso

Summary:
HF RADAR TOTAL - Calypso

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

University of Malta; University of Palermo; CNR-IAS; ARPA-Sicilia; University of Malta; University of Palermo; Institute for the study of anthropic impacts and sustainability in the marine environment; Capo Granitola (CNR-IAS)


HF RADAR TOTAL - Cosyna

Summary:
HF RADAR TOTAL - Cosyna

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, m s-1)
EWCS
NSCS
CCOV
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - DeltaEbro

Summary:
HF RADAR TOTAL - DeltaEbro

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Euskoos

Summary:
HF RADAR TOTAL - Euskoos

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Finnmark

Summary:
HF RADAR TOTAL - Finnmark

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Galicia

Summary:
HF RADAR TOTAL - Galicia

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

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


HF RADAR TOTAL - Gibraltar

Summary:
HF RADAR TOTAL - Gibraltar

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Ibiza

Summary:
HF RADAR TOTAL - Ibiza

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

SOCIB - Balearic Islands Coastal Observing and forecasting System


HF RADAR TOTAL - Lisboa

Summary:
HF RADAR TOTAL - Lisboa

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - NAdr

Summary:
HF RADAR TOTAL - NAdr

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, m s-1)
EWCS
NSCS
CCOV
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold 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


HF RADAR TOTAL - NAdr


HF RADAR TOTAL - PLOCAN

Summary:
HF RADAR TOTAL - PLOCAN

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - Skagerrak

Summary:
HF RADAR TOTAL - Skagerrak

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


HF RADAR TOTAL - South

Summary:
HF RADAR TOTAL - South

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

Instituto Hidrografico; PUERTOS DEL ESTADO


HF RADAR TOTAL - TirLig

Summary:
HF RADAR TOTAL - TirLig

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

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


HF RADAR TOTAL - US-EastGulfCoast

Summary:
HF RADAR TOTAL - US-EastGulfCoast

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

CORDC - Coastal Observing Research and Development Center; Rutgers; The State University of New Jersey; Institute of Marine and Coastal Sciences; Texas A&M University (TAMU); Old Dominion University (ODU); University of Rhode Island (URI); Skidaway Institute of Oceanography (SKIO); University of Miami (UMiami); Meopar Incorporated; University of North Carolina Chapel Hill (UNC); Fugro Geoconsulting Inc; Woods Hole Oceanographic Institution (WHOI); University of Maine (UMaine); University of South Carolina (SC); University of South Florida (USF); University of Connecticut (U.Conn); Florida Atlantic University (FAU); University of Southern Mississippi (USM); University of Massachusetts; Dartmouth (UMassDart)


HF RADAR TOTAL - US-Hawaii

Summary:
HF RADAR TOTAL - US-Hawaii

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

CORDC - Coastal Observing Research and Development Center; University of Hawaii (UH)


Summary:
HF RADAR TOTAL - US-PuertoRicoVirginIslands

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

CORDC - Coastal Observing Research and Development Center; Universidad de Puerto Rico (UPR)


HF RADAR TOTAL - US-WestCoast

Summary:
HF RADAR TOTAL - US-WestCoast

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)

CORDC - Coastal Observing Research and Development Center; California Polytechnic State University "San Luis Obispo" (SLO); Codar Ocean Sensors; Naval Postgraduate School (NPS); Bodega Marine Laboratory (BML); Ocean Networks Canada (ONC); Oregon State University (OSU); University of California; Santa Barbara (UCSB); University of Southern California (USC); Scripps Institution of Oceanography (SIO)


HF RADAR TOTAL - Vestlandet

Summary:
HF RADAR TOTAL - Vestlandet

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
EWCT (West-east current component, m s-1)
NSCT (South-north current component, 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)
GDOP (Geometrical dilution of precision, 1)
POSITION_QC (Position quality flag, 1)
QCflag (Overall quality flag, 1)
VART_QC (Variance threshold quality flag, 1)
GDOP_QC (GDOP threshold quality flag, 1)
DDNS_QC (Data density threshold quality flag, 1)
CSPD_QC (Velocity threshold quality flag, 1)


Summary:
Monthly mean deseasonalized 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:
Monthly mean 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)


Summary:
Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO

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


Summary:
Monthly mean 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)


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


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)


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


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)


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)