Sea Surface Salinity Retrieval Throughout a SMOS Half-Orbit Using Neural Networks

This article explains the way to resolve one of the main difficulties of using neural networks to retrieve the ocean salinity from SMOS observations. By designing a set of networks which inputs are adapted to the variability of SMOS incidence angles, we are able to process practically any point on the ocean surface