Global Ocean-Gridded objective analysis fields of temperature using profiles from the reprocessed in-situ global product CORA (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b) using the ISAS software. Objective analysis is based on a statistical estimation method that allows presenting a synthesis and a validation of the dataset, providing a validation source for operational models, observing seasonal cycle and inter-annual variability.

Global Ocean-Gridded objective analysis fields of salinity using profiles from the reprocessed in-situ global product CORA (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b) using the ISAS software. Objective analysis is based on a statistical estimation method that allows presenting a synthesis and a validation of the dataset, providing a validation source for operational models, observing seasonal cycle and inter-annual variability.

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.

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.

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 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.

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

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

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

EMODnet Physics - Collection of Water Surface Height Above a Specific Datum (SLEV) TimeSeries - MultiPointTimeSeriesObservation. Water Surface Height Above a Specific Datum (SLEV) TimeSeries. EMODnet Physics data from a local source.

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 : 1/2° and 1/4°. 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.