DUACS DT2014: The new multi-mission altimeter data set reprocessed over 20 years

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The new DUACS DT2014 reprocessed products are available since April 2014. Numerous and impacting evolutions have been implemented at each step of this new data processing. The main one is the use of a new 20-year altimeter reference period that changes the SLA and SLA gradient signature. Although all the DUACS products have been improved, this paper focuses on gridded products quality description over the global ocean. As part as this exercise, 21 years of data have been homogenized allowing us to retrieve accurate large scale climate signals such as global and regional MSL trend as well as interannual signals, but also refined mesoscale features. <br><br> Extensive assessment has been performed on this dataset, which allowed us to establish a consolidated error budget. The errors at mesoscale are about 1.5cm<sup>2</sup> in low variability areas and increase to 9cm<sup>2</sup> in average in coastal regions, to reach more than 30cm<sup>2</sup> in high mesoscale activity areas. The DT2014 products, compared to the previous version DT2010, presents additional signal for wavelengths lower than ~250km inducing SLA variance and mean EKE increase of respectively +5.1% and +15%. Comparison with independent measurements underlined the improved mesoscales restitution with this new dataset. The errors reduction at mesoscale reaches nearly 10% of the error observed with DT2010. The DT2014 also presents improved coastal signal with a 2 to 4% mean error reduction. High latitudes areas are also better represented in DT2014, with a better consistency between map spatial coverage and sea ice edge position. The budget error is finally discussed, in order to highlight the limitation of gridded products, notably in strong internal tide area.




Pujol, M. I., Faugère, Y., Taburet, G., Dupuy, S., Pelloquin, C., Ablain, M., & Picot, N. (2016). DUACS DT2014: The new multi-mission altimeter data set reprocessed over 20 years. Ocean Science, 12(5), 1067–1090. https://doi.org/10.5194/os-12-1067-2016

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