{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["1"],"submitter":["Zeng X"],"pubmed_abstract":["Ocean reanalysis provides a temporally continuous and spatially gridded four-dimensional estimate of the ocean state for a better understanding of the ocean dynamics and its spatial/temporal variability. Here we present a 19-year (1992-2010) high-resolution ocean reanalysis dataset of the upper ocean in the South China Sea (SCS) produced from an ocean data assimilation system. A wide variety of observations, including in-situ temperature/salinity profiles, ship-measured and satellite-derived sea surface temperatures, and sea surface height anomalies from satellite altimetry, are assimilated into the outputs of an ocean general circulation model using a multi-scale incremental three-dimensional variational data assimilation scheme, yielding a daily high-resolution reanalysis dataset of the "],"journal":["Scientific data"],"pagination":["140052"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4423333"],"repository":["biostudies-literature"],"pubmed_title":["A reanalysis dataset of the South China Sea."],"pmcid":["PMC4423333"],"pubmed_authors":["Li Z","Peng S","Qi Y","Zeng X","Chen R"],"additional_accession":[]},"is_claimable":false,"name":"A reanalysis dataset of the South China Sea.","description":"Ocean reanalysis provides a temporally continuous and spatially gridded four-dimensional estimate of the ocean state for a better understanding of the ocean dynamics and its spatial/temporal variability. Here we present a 19-year (1992-2010) high-resolution ocean reanalysis dataset of the upper ocean in the South China Sea (SCS) produced from an ocean data assimilation system. A wide variety of observations, including in-situ temperature/salinity profiles, ship-measured and satellite-derived sea surface temperatures, and sea surface height anomalies from satellite altimetry, are assimilated into the outputs of an ocean general circulation model using a multi-scale incremental three-dimensional variational data assimilation scheme, yielding a daily high-resolution reanalysis dataset of the ","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014","modification":"2025-04-22T10:25:41.257Z","creation":"2019-03-27T01:51:10Z"},"accession":"S-EPMC4423333","cross_references":{"pubmed":["25977803"],"doi":["10.1038/sdata.2014.52"]}}