Articles | Volume 15, issue 4
Ocean Sci., 15, 1023–1032, 2019

Special issue: The Copernicus Marine Environment Monitoring Service (CMEMS):...

Ocean Sci., 15, 1023–1032, 2019

Research article 02 Aug 2019

Research article | 02 Aug 2019

Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators

Eric Jansen et al.

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Cited articles

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Short summary
The assimilation of satellite SST data into ocean models is complex. The temperature of the thin uppermost layer that is measured by satellites may differ from the much thicker upper layer used in numerical models, leading to biased results. This paper shows how canonical correlation analysis can be used to generate observation operators from existing datasets of model states and corresponding observation values. This type of operator can correct for near-surface effects when assimilating SST.