Empirical Characterization of The Smos Brightness Temperature Bias and Uncertainty for Improving Sea Surface Salinity

2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Observing, Understanding And ForecastingThe Dynamics Of Our Planet, 22-27 July 2018, Valencia, SpainAfter more than eight years of Soil Moisture and Ocean Salinity (SMOS) aquisitions, an empirical characterization of the biases and the computation of an effective brightness temperature uncertainty is possible. In this work we show that both parameters strongly depend on the geographical location of the acquisition. Metrics based on the differences between expected and theoretical values of the bias and uncertainty are developed and used for a quantitative assessment of the locations where SMOS errors are currently being worse characterized. This characterization can be used for the definition of an empirical bias correction and a more accurate cost function which are expected to provide a better SMOS SSS product.Peer Reviewe