[24-Feb-2016] Parard, G., Alvera-Azcarate, A., Barth, A., and Beckers, J. .
Presented at the 2016 Ocean Sciences MeetingSea Surface Salinity (SSS) data from the Soil Moisture and Ocean Salinity (SMOS) mission is analysed over the North Atlantic ocean using DINEOF (Data Interpolating Empirical Orthogonal Functions). DINEOF is a technique that reconstructs missing data and removes noise by retaining only an optimal set of EOFs. The gain obtained with the higher spatial and temporal resolution obtained with SMOS between 2012 and 2013, allow to study the SSS variability from daily to seasonal resolution. We combined the chlorophyll, sea surface temperature, precipitation and CDOM variability from satellite and in-situ data measurement to explain the processes observed in the North Atlantic like the Gulf Stream and the Azores Front.