Representation Error of Oceanic Observations for Data Assimilation

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On the representation error in data assimilation (2018, unknown): “Ponte et al. (2007) use the term representation error for error that is composed of pre-processing error and error due to unresolved scales and processes, while Janji´c and Cohn (2006) and Oke and Sakov (2008) use it for error due to unresolved scales and processes and observation-operator error.”
The error of representation: basic understanding (2015, background): “In addition to these, more theoretical works there have recently been attempts at estimating the structure of representation error from observational data and numerical model output (e.g. Richman et al., 2005; Frehlich, 2008; Oke and Sakov, 2008; Waller et al., 2013).”
Assimilating Along-Track Altimetric Observations through Local Hydrostatic Adjustment in a Global Ocean Variational Assimilation System (2011, methodology): “ness error, we have followed an approach similar to that of Oke and Sakov (2008). The cell-averaged sea level anomaly along-track products may be thought of as the truth in the sense that their scales are completely resolved”