Abstract: Global Ocean climatologies are fundamental for our understanding of climate variability and trends, essential for the initialization and validation of numerical models. The thesis aims to compute a new global ocean monthly climatology of basic physical climate state variables such as temperature, salinity, density and dissolved oxygen from in-situ based historical datasets collected in the World Ocean Database 2018. The novelty of these climatologies stems from the implementation of a new quality control procedure, called "Nonlinear Quality Con...
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Topics: 
Climatology
Meteorology
Statistics