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Mixed layer depth, temperature, salinity, crudely derived from max(\"\u0394\u03c3\u03b8_10m=0.03kg/m\u00b3\", \"Holte&amp;Talley\"), are also provided in \"_MLD\". \nThe following variables are included (* are excluded in \"_minimal\"):\nIn-situ temperature (\u00b0C) in ITS-90\nPractical salinity (psu)\n*Standard deviation of temperature (\u00b0C), inferred by the spread of observations\n*Standard deviation of practical salinity (psu), inferred by the spread of observations\n*Interpolation error of temperature (\u00b0C), inferred by the sparsity of observations\n*Interpolation error of practical salinity (psu), inferred by the sparsity of observations\n*Cabbeling correction for temperature (\u00b0C)\n*Cabbeling correction for practical salinity (psu)\n*Density stabilization factor for temperature (\u00b0C)\n*Density stabilization factor for practical salinity (psu)\nProject Description\nThe advent of under-ice profiling float and biologging techniques has enabled year-round observation of the Southern Ocean and its Antarctic margin. These under-ice data are often overlooked in widely used oceanographic datasets, despite their importance in understanding seasonality and its role in sea ice changes, water mass formation, and glacial melt. We develop a monthly climatology of the Southern using Data Interpolating Variational Analysis, which excels in multi-dimensional interpolation and consistent handling of topography and horizontal advection. 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