METU-IMS
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The Black Sea gridded monthly climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 12 months) based on the collection of temperature and salinity profiles spanning 35 years (1955–1999).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 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 2.6.2. The product was developed in framework of SeaDataCloud project, EC H2020 grant #730960. For data access please register at http://www.marine-id.org/.
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Black Sea gridded decadal seasonal climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 6 decades, 4 seasons) based on the collection of temperature and salinity profiles spanning 60 years (1955–2014).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 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 2.6.2. The product was developed in framework of SeaDataCloud project, EC H2020 grant #730960. For data access please register at http://www.marine-id.org/.
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Black Sea gridded decadal annual climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 56 sliding decades) based on the collection of temperature and salinity profiles spanning 65 years (1955–2019).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 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 2.6.2. The product was developed in framework of SeaDataCloud project, EC H2020 grant #730960. For data access please register at http://www.marine-id.org/.
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