Argo float vertical profiles from Coriolis Global Data Assembly Centres
(GDAC). Argo is an international collaboration that collects high-quality
temperature and salinity profiles from the upper 2000m of the ice-free
global ocean and currents from intermediate depths. The data come from
battery-powered autonomous floats that spend most of their life drifting
at depth where they are stabilised by being neutrally buoyant at the
"parking depth" pressure by having a density equal to the ambient pressure
and a compressibility that is less than that of sea water. At present there
are several models of profiling float used in Argo. All work in a similar
fashion but differ somewhat in their design characteristics. At typically
10-day intervals, the floats pump fluid into an external bladder and rise
to the surface over about 6 hours while measuring temperature and salinity.
Satellites or GPS determine the position of the floats when they surface,
and the floats transmit their data to the satellites. The bladder then
deflates and the float returns to its original density and sinks to drift
until the cycle is repeated. Floats are designed to make about 150 such
cycles.
Data Management URL: http://www.argodatamgt.org/Documentation

cdm_data_type = TrajectoryProfile
VARIABLES:
fileNumber (File Number)
data_type
format_version (File format version)
handbook_version (Data handbook version)
reference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)
date_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)
date_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)
platform_number (Float unique identifier)
project_name (Name of the project)
pi_name (Name of the principal investigator)
... (49 more variables)


Argo float synthetic vertical profiles : BGC data

cdm_data_type = TrajectoryProfile
VARIABLES:
wmo_inst_type (Coded instrument type)
data_type
date_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)
pi_name (Name of the principal investigator)
bbp470 (Particle backscattering at 470 nanometers, m-1)
bbp470_qc
bbp470_adjusted
bbp470_adjusted_qc
bbp470_adjusted_error
bbp532 (Particle backscattering at 532 nanometers, m-1)
bbp532_qc
bbp532_adjusted
bbp532_adjusted_qc
bbp532_adjusted_error
bbp700 (Particle backscattering at 700 nanometers, m-1)
bbp700_qc
bbp700_adjusted
bbp700_adjusted_qc
bbp700_adjusted_error
bbp700_2 (Particle backscattering at 700 nanometers, m-1)
bbp700_2_qc
bbp700_2_adjusted
bbp700_2_adjusted_qc
bbp700_2_adjusted_error
bisulfide (micromole/kg)
bisulfide_qc
bisulfide_adjusted
... (168 more variables)


Argo float vertical profiles to be used in DMQC. The free-moving nature of profiling floats means that most float measurements are without accompanying in-situ ground truth values for absolute calibration (such as those afforded by shipboard CTD measurements). Therefore Argo delayed-mode procedures for checking sensor drifts and offsets in salinity rely on reference datasets and statistical methods. Dataset assembled by John Gilson (SCRIPPS)

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
platform_number
cycle_number
pi_name
time (seconds since 1970-01-01T00:00:00Z)
pres (Pressure)
temp (Temperature)
ptmp
psal
n_levels
n_prof


Argo, Profile Classification Model, North-Atlantic, Temperature

PCM results. Ifremer/LOPS data from a local source.

cdm_data_type = Point
VARIABLES:
latitude (Latitude of the station, best estimate, degrees_north)
longitude (Longitude of the station, best estimate, degrees_east)
time (Time of the station, best estimate, seconds since 1970-01-01T00:00:00Z)
POST (Probability of a profile to be in a class)
ACTI (Gaussian value of profiles for a class)
MODELPDF (Model PDF for the dataset)
LABEL (ID of the most probable class)
ROBUST (Labeling metric for the attributed class)


Conductivity, Temperature, Depth (CTD) Reference Measurements. Argo data from a local source.

cdm_data_type = Other
VARIABLES:
pres (Pressure)
ptmp
psal
temp (Temperature)
source
qclevel
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)


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)


EMSO Ligure DYFAMED Time Series from 1994 to 2014 (43°25N, 7°52E)

EMSO Ligure DYFAMED Time Series from 1994 to 2014 (43°25N - 7°52E). In the framework of the French MOOSE program, a fixed point observatory in the Ligurian Sea (so called DYFAMED) performs since 1991 physical, biogeochemical and biological observations of the water column structure. This observatory is hosted and managed by the Oceanological Observatory in Villefranche-sur-Mer (CNRS-SU)

cdm_data_type = Profile
VARIABLES (all of which use the dimensions [time][PRES]):
TEMP (Sea temperature in-situ ITS-90 scale, degree_Celsius)
PSAL (Practical salinity, PSU)
DOXY (Dissolved oxygen, micromole/kg)
TEMP_QC (quality flag for TEMP)
PSAL_QC (quality flag for PSAL)
DOXY_QC (quality flag for DOXY)


Global Drifter Program - 1 Hour Interpolated QC Drifter Data

Global Drifter Program hourly drifting buoy collection. Quality control interpolated (interpolation via mathematical model fitting) data. Hourly Drifter data product exists from early 2000's to present, well suited for observing smaller-scale oceanic processes. NOAA-Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source. The hourly QC dataset is updated on a quarterly basis, i.e. every 3 months, in delayed mode, but the data processing team has experienced unforeseen setbacks. The GDP is working as quickly as possible to update the dataset. Please reference the acknowledgment attribute to cite the dataset's DOI.

cdm_data_type = Trajectory
VARIABLES:
ID (Global Drifter Program Buoy ID)
WMO (World Meteorological Organization buoy identification number)
expno (Experiment number, count)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lon360 (Longitude, degrees_east)
sst (fitted sea water temperature, Kelvin)
sst1 (fitted non-diurnal sea water temperature, Kelvin)
sst2 (fitted diurnal sea water temperature, Kelvin)
err_sst (standard uncertainty of fitted sea water temperature, Kelvin)
err_sst1 (standard uncertainty of fitted non-diurnal sea water temperature, Kelvin)
err_sst2 (standard uncertainty of fitted diurnal sea water temperature, Kelvin)
flg_sst (fitted sea water temperature quality flag, dimensionless)
flg_sst1 (fitted non-diurnal sea water temperature quality flag, dimensionless)
flg_sst2 (fitted diurnal sea water temperature quality flag, dimensionless)
ve (Eastward velocity, m/s)
vn (Northward velocity, m/s)
err_lat (95% confidence interval in latitude, degrees_north)
err_lon (95% confidence interval in longitude, degrees_east)
err_ve (95% confidence interval in eastward velocity, m/s)
... (33 more variables)

NOAA Atlantic Oceanographic and Meteorological Laboratory


Global Drifter Program - 6 Hour Interpolated QC Drifter Data

Global Drifter Program 6-hourly drifting buoy collection. Quality control krigged (interpolation method) data. 6-Hour Drifter data product exists from 1979 to present, well suited for observing larger-scale oceanic processes. NOAA-Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source. The six-hourly QC dataset is updated on a quarterly basis, i.e. every 3 months, in delayed mode. Please reference the acknowledgment attribute to cite the dataset's DOI.

cdm_data_type = Trajectory
VARIABLES:
ID (Global Drifter Program Buoy ID)
WMO (World Meteorological Organization buoy identification number)
expno (Experiment number, count)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
lon360 (Longitude, degrees_east)
sst (Sea Surface Bulk Temperature, degree_C)
err_sst (degree_C)
ve
vn
err_lat
err_lon
typebuoy (Buoy type (see https://www.aoml.noaa.gov/phod/dac/dirall.html))
deploy_date (Deployment date and time, seconds since 1970-01-01T00:00:00Z)
deploy_lat (Deployment latitude, degrees_north)
deploy_lon (Deployment longitude, degrees_east)
start_date (First good date and time derived by DAC quality control, seconds since 1970-01-01T00:00:00Z)
start_lat (First good latitude derived by DAC quality control, degrees_north)
start_lon (First good longitude derived by DAC quality control, degrees_east)
end_date (Last good date and time derived by DAC quality control, seconds since 1970-01-01T00:00:00Z)
end_lat (Last good latitude derived by DAC quality control, degrees_north)
end_lon (Last good longitude derived by DAC quality control, degrees_east)
... (23 more variables)


Global Ocean - In Situ Observation Copernicus

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)


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


Global Ocean, In Situ Observation Copernicus (Copernicus Fishing Observing System)

Global Ocean - In Situ Observation Copernicus. The Recopesca Project : a new example of participative approach to collect fisheries and in situ environmental data

cdm_data_type = Profile
VARIABLES:
platform_name
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
TIME_QC (Time quality flag)
DC_REFERENCE (Station/Location unique identifier in data centre)
DATA_MODE
DIRECTION (Direction of the profiles)
depth (m)
DEPH_QC (Depth quality flag)
TEMP (Sea temperature, degree_C)
TEMP_QC (Sea temperature quality flag)
PSAL (Practical salinity, 0.001)
PSAL_QC
OSAT (Oxygen saturation, %)
OSAT_QC
DOXY (Dissolved oxygen, mmol m-3)
DOXY_QC
TUR4 (Turbidity, 1)
TUR4_QC
FLUO (Fluorescence)
FLUO_QC


Global Odyssea Sea Surface Temperature Analysis. Multisensor optimal interpolation of sea surface temperature foundation over a global 0.1 degree resolution grid, daily

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
mask (land sea ice lake bit mask)
sea_ice_fraction (sea ice area fraction, 1)


Numerical lagrangian data issued from river sources in Indonesia (2016-2020) - Coast status

This file contains time series of simulated particle status with respect to their fate (stranding, out of domain, still at sea)

cdm_data_type = Other
VARIABLES:
ptc_id (particle ID)
river_index (Particle River Index)
d_covered_zone (Diagonal Of The Covered Zone, m)
ptc_distance (Particle Trajectory Distance, m)
time (Stranding Itime, seconds since 1970-01-01T00:00:00Z)
stranding_iT
stranding_jT
stranding_age (days)
stranding_zone


Numerical lagrangian data issued from river sources in Indonesia (2016-2020) - Histo coord

This file contains time series of 2D-histogram of simulated particles (computed as the sum of particles per grid cell)

cdm_data_type = TimeSeries
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hist (2D histogram of particles)
hist_release_time (2D histogram of particles)
hist_stop_coast (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_CISADANE (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_CILIWUNG (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_CITARUM (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_SEMARANG (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_SURABAYA (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_SOLO (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_TELUK_BENOA (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_JOGJA (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_PELABUHAN_RATU (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_BATANG_KANDIS (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_DELI (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_BATANG_HARI (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_MUSI (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_KAPUAS (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_BARITO (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_TALLO (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_MAHAKAM (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_KAYAN (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_AMBON (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_DIGUL (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))
hist_stop_coast_MAMBERAMO (2D histogram of particles (trajectory stop once below 0.0010 grid cell from coast))


OceanGliders GDAC trajectories

cdm_data_type = Trajectory
VARIABLES:
platform_deployment
time (Epoch time, seconds since 1970-01-01T00:00:00Z)
JULD (Julian 1950 time, seconds since 1970-01-01T00:00:00Z)
latitude (Measurement latitude, degrees_north)
longitude (Measurement longitude, degrees_east)
TIME_QC (Quality flag)
JULD_QC (Quality flag)
POSITION_QC (Quality flag)
PSAL (Practical salinity, PSU)
TEMP (Sea temperature in-situ ITS-90 scale, degree_Celsius)
CNDC (Electrical conductivity, mhos/m)
PRES (Sea water pressure, equals 0 at sea-level, decibar)
PSAL_QC (Quality flag)
TEMP_QC (Quality flag)
CNDC_QC (Quality flag)
PRES_QC (Quality flag)
PSAL_UNCERTAINTY (Uncertainty, PSU)
TEMP_UNCERTAINTY (Uncertainty, degree_Celsius)
CNDC_UNCERTAINTY (Uncertainty, mhos/m)
PRES_UNCERTAINTY (Uncertainty, decibar)
MOLAR_DOXY (Uncompensated (pressure and salinity) oxygen concentration reported by the oxygen sensor, micromole/l)
TEMP_DOXY (Sea temperature from oxygen sensor ITS-90 scale, degree_Celsius)
BPHASE_DOXY
DPHASE_DOXY
RPHASE_DOXY
MOLAR_DOXY_QC (Quality flag)
TEMP_DOXY_QC
... (19 more variables)


Data from a local source.

cdm_data_type = Point
VARIABLES:
time (Obs Date, seconds since 1970-01-01T00:00:00Z)
station_id
platform
obs_date_qc
latitude (degrees_north)
longitude (degrees_east)
position_qc
depth (m)
depth_qc (Depth)
temp (Temperature)
temp_qc
psal
psal_qc
type (Data type)


Data from a local source.

cdm_data_type = Point
VARIABLES:
time (Obs Date, seconds since 1970-01-01T00:00:00Z)
station_id
platform
obs_date_qc
latitude (degrees_north)
longitude (degrees_east)
position_qc
depth (m)
depth_qc (Depth)
temp (Temperature)
temp_qc
psal
psal_qc


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)


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)


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)


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)


Ocean Data View (ODV) Network Common Data Format (NetCDF) Export File V2.0. Data from a local source.

cdm_data_type = Profile
VARIABLES:
time (Decimal Gregorian Days of the station, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cruise
Data_set_name
Discipline
Category
Variables_measured
Data_format
Data_format_version
Data_size
Data_set_creation_date
Datum
Measuring_area_type
Station
Water_depth (m)
Depth_reference
Minimum_instrument_depth (m)
Maximum_instrument_depth (m)
Start_date
Start_time
End_date
End_time
Vertical_resolution
Vertical_resolution_unit
Type
... (37 more variables)


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_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_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_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_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_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_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)


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)


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)


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)