The main goals of the project are:

– To improve the quality of the remote-sensed SMOS SSS data

– To demonstrate the added benefit of the SMOS SSS data over the pre-satellite SSS era.

In order to achieve this, our research is divided in the following steps:

  1. Calculation of background SSS fields
  2. Use of DINEOF to pre-process the SSS data (including the removal of outliers)
  3. Improvement of the background field using SSS data with DINEOF
  4. Multivariate EOF analyses
  5. Validation of results

The results obtained through this project have been published in the following work:

Aida Alvera-Azcárate, Alexander Barth, Gaëlle Parard, Jean-Marie Beckers. Analysis of SMOS sea surface salinity data using DINEOF. Remote Sensing of Environment, 180 (2016) 137–145.


The files containing the DINEOF SSS fields are located here:

Here for 2012

Here for 2013