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

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.

The Global Ocean Data Analysis Project (GLODAP) is a synthesis activity for ocean surface to bottom biogeochemical data collected through chemical analysis of water samples. Data for 12 core variables (salinity, oxygen, phosphate, nitrate, silicate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113 and CCl4) are subjected to primary and secondary quality control to identify outliers and correct for measurement biases.

This layer was created for spatial distribution modelling of Fucus spp. in the northern Baltic Sea (Lappalanen et al, 2019). The layer represents average salinity conditions throughout the growing season, i.e. June-August values averaged over the period 2004-2015. The horizontal resolution is 20 meters. It was re-used for the EUSeaMap 2019. For further details on how it was generated: Lappalainen, J., Virtanen, E.A., Kallio, K., Junttila, S., Viitasalo, M., 2019. Substrate limitation of a habitat-forming genus Fucus under different water clarity scenarios in the northern Baltic Sea. Estuarine, Coastal and Shelf Science 218, 31ÔÇô38. https://doi.org/10.1016/j.ecss.2018.11.010