2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean

Summary:
Maps of properties from OAC-P estimates. Thermohaline computing using gsw oceanographic toolbox

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
GLOBAL_PPD (Permanent pycnocline depth, m)
GLOBAL_PPD_er (Error of the permanent pycnocline depth estimate, m)
GLOBAL_PPH (Permanent pycnocline total thickness, m)
GLOBAL_PPH_er (Error of the permanent pycnocline total thickness estimate, m)
GLOBAL_PPHTOP (Permanent pycnocline top thickness, m)
GLOBAL_PPHTOP_er (Error of the permanent pycnocline top thickness estimate)
GLOBAL_PPHBTO (Permanent pycnocline bottom thickness, m)
GLOBAL_PPHBTO_er (Error of the permanent pycnocline bottom thickness estimate, m)
GLOBAL_PPTEMP (Temperature at the depth of the permanent pycnocline, deg C)
GLOBAL_PPPOTTEMP (Potential temperature at the depth of the permanent pycnocline (referenced to the surface), deg C)
GLOBAL_PPCONSTEMP (Conservative temperature at the depth of the permanent pycnocline, deg C)
GLOBAL_PPPSAL (Practical salinity at the depth of the permanent pycnocline, PSU)
GLOBAL_PPABSAL (Absolute  salinity at the depth of the permanent pycnocline, g/kg)
GLOBAL_PPSIG0 (Potential density referenced to the surface at the depth of the permanent pycnocline)
GLOBAL_PPPLPV (Planetary potential vorticity at the depth of the permanent pycnocline, m^-1 s^-1)
GLOBAL_PPBFRQ (Brunt-Vaisala frequency squared at the depth of the permanent pycnocline, s^-2)
GLOBAL_MWD (Mode water depth, m)
GLOBAL_MWH (Mode water thickness, m)
GLOBAL_MWTEMP (Temperature at the depth of the mode water, deg C)
GLOBAL_MWPOTTEMP (Potential temperature at the depth of the mode water (referenced to the surface), deg C)
GLOBAL_MWCONSTEMP (Conservative temperature at the depth of the mode water, deg C)
GLOBAL_MWPSAL (Practical salinity at the depth of the mode water, PSU)
GLOBAL_MWABSAL (Absolute salinity at the depth of the mode water, g/kg)
GLOBAL_MWSIG0 (Potential density referenced to the surface at the depth of the mode water)
GLOBAL_MWPLPV (Planetary potential vorticity at the depth of the mode water, m^-1 s^-1)
GLOBAL_MWBFRQ (Brunt-Vaisala frequency squared at the depth of the mode water, s^-2)


Daily MUR SST, Final product

Summary:
A merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, kelvin)


Global Ocean - In Situ Observation Copernicus

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]):
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:
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]):
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)
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)

UAF; ONC; CORDC - Coastal Observing Research and Development Center


SDC_BalticSea_Climatology_TS_V1_monthly

Summary:
The SDC_BAL_CLIM_TS_V1 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, degree_C)
ITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, degree_C)
ITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, degree_C)
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_BalticSea_Climatology_TS_V1_seasonal


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_BalticSea_Climatology_TS_V2_seasonal


SDC_BlackSea_Climatology_TS_V1_monthly

Summary:
The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. 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 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 (1e-3)
ITS_90_water_temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3, 1e-3)
ITS_90_water_temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, 1e-3)
ITS_90_water_temperature_relerr (Relative error of ITS-90 water temperature, 1)
Water_body_salinity (1e-3)
Water_body_salinity_L1 (Water_body_salinity masked using relative error threshold 0.3, 1e-3)
Water_body_salinity_L2 (Water_body_salinity masked using relative error threshold 0.5, 1e-3)
Water_body_salinity_relerr (Relative error of Water_body_salinity, 1)


SDC_BlackSea_Climatology_TS_V1_seasonal


SDC_BlackSea_Climatology_TS_V2_monthly

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, 1e-3)
Temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3, 1e-3)
Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, 1e-3)
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_BlackSea_Climatology_TS_V2_seasonal


SDC_GlobalOcean_Climatology_TS_V1_1

Summary:
SDC_GLO_CLIM_T_1900-2017_025_January_V1_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)
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)


SDC_GlobalOcean_Climatology_TS_V1_2

Summary:
SDC_GLO_CLIM_T_2003-2017_025_January_V1_2 product contains Temperature Climatologies for Global Ocean for period 2003-2017. 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)
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)


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)
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)


SDC_GlobalOcean_Climatology_TS_V2_2

Summary:
SDC_GLO_CLIM_T_2003-2017_025_V2_2 product contains Temperature Climatologies for Global Ocean for period 2003-2017. 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)
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)


SDC_MedSea_Climatology_TS_V1_monthly

Summary:
SDC_MED_CLIM_TS_V1 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 (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, 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, 1)


SDC_MedSea_Climatology_TS_V1_seasonal


SDC_MedSea_Climatology_TS_V2_monthly_pre_post_east_mediterranean_transient

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)


SDC_MedSea_Climatology_TS_V2_monthly_whole_period


SDC_MedSea_Climatology_TS_V2_seasonal_decades

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 (ITS-90 water temperature)
Temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3)
Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5)
Temperature_relerr (Relative error of ITS-90 water temperature)
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)


SDC_MedSea_Climatology_TS_V2_seasonal_pre_post_emt


SDC_MedSea_Climatology_TS_V2_seasonal_whole_period


Summary:
The SDC_NAT_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1955-2015 and seasonal fields for 6 decades starting from 1955 to 2015. 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 (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)
Temperature_databins (Logarithm10 of number of data in bins)
Temperature_outlbins (Logarithm10 of number of outliers data in bins)
Temperature_CLfield (Correlation length field)
Salinity (PSU)
Salinity_err (Error standard deviation of Salinity, per mille)
Salinity_L1 (Salinity masked using relative error threshold 0.3, per mille)
Salinity_L2 (Salinity masked using relative error threshold 0.5, per mille)
Salinity_relerr (Relative error of Salinity)
Salinity_databins (Logarithm10 of number of data in bins)
Salinity_outlbins (Logarithm10 of number of outliers data in bins)
Salinity_CLfield (Correlation length field, 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)


SDC_NorthSea_Climatology_TS_V1_monthly

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)


SDC_NorthSea_Climatology_TS_V1_seasonal