Accessible: public

Title: Daily Southern Ocean Sea Level Anomaly And Geostrophic Currents from multimission altimetry, 2013-2019

Summary:
Sea Level Anomaly measured by Altimetry and derived variables

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
sla (Sea Level Anomaly, m)
formal_error (Optimal Interpolation Formal Error, m)
U (Zonal Geostrophic Current Anomaly, m/s)
V (Meridional Geostrophic Current Anomaly, m/s)

Institution: CLS,CNES


Summary:
Monthly climatology fields for product GLOBAL_REANALYSIS_PHY_001_030

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
thetao (Temperature, degree_C)
so (Salinity, PSU)
uo (Eastward velocity, m s-1)
vo (Northward velocity, m s-1)

Institution: Mercator Ocean


Title: NOAA - GLobal Ocean Data Analysis Project (GLODAP)

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)

Institution: Global Ocean Data Analysis Project (GLODAP)


Title: NOAA - Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 High Resolution Dataset

Summary:
The NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) is a long term Climate Data Record that incorporates observations from different platforms (satellites, ships, buoys and Argo floats) into a regular global grid. The dataset is interpolated to fill gaps on the grid and create a spatially complete map of sea surface temperature. Satellite and ship observations are referenced to buoys to compensate for platform differences and sensor biases. OISST belongs to a family of products that are sometimes referred to as "Reynolds SST" for Richard W. Reynolds, a NOAA scientist who worked to improve the accuracy of the SST analyses by optimizing the advantages of in situ (ship and buoy) and satellite data. Older Reynolds SST products have been retired, except for the 1° weekly OISST. The dataset was developed using a methodology that includes bias adjustment of satellite and ship observations (referenced to buoys) to compensate for platform differences and sensor biases. This proved critical during the Mt. Pinatubo eruption in 1991, when the widespread presence of volcanic aerosols resulted in infrared satellite temperatures that were much cooler than actual ocean temperatures (Reynolds 1993).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Monthly Mean of Sea Surface Temperature, degree_C)

Institution: National Oceanic and Atmospheric Administration (NOAA)