2022
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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.
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EMODnet - 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
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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
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Data from a local source.
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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.
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Data from a local source.
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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
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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.
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EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - NORTH SEA
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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