The Dynamic Optimal Interpolation (DOI) merges altimetric Sea Surface Height (SSH) data into maps that are continuous in time and space. Unlike the traditional Linear Optimal Interpolation (LOI) method, DOI has the advantage of considering a non-linear temporal propagation of the SSH field. DOI has been successfully applied to along-track pseudo-observations in Observing System Simulation Experiments (OSSEs), demonstrating a reduction in interpolation error in highly turbulent regions compared to LOI mapping (Ubelmann et al. 2015, 2016; Rogé et al. 2017). In the present study, we further extend the validation of the DOI method by an Observing System Experiment (OSE). We applied and validated the DOI approach with real nadir-altimetric observations in four regional configurations. Overall, the qualitative and quantitative assessments of these realistic SSH maps confirm the higher level of performance of the DOI approach in turbulent regions. It is more of a challenge to outperform the conventional LOI mapping in coastal and low energy regions. Validations against LOI maps distributed by the Copernicus Marine Environment Monitoring Service indicate a 10-15% increase in average performance and an improved resolution limit toward shorter wavelengths. The DOI also shows improved mesoscale mapping of intense jets and fronts; and reveals new eddies with smoother trajectories

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