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:
- Calculation of background SSS fields
- Use of DINEOF to pre-process the SSS data (including the removal of outliers)
- Improvement of the background field using SSS data with DINEOF
- Multivariate EOF analyses
- 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