Recent development of the mixed layer remote sensing models

Mixed layer depth is a particularly useful description of subsurface ocean thermal structure. Knowledge of the upper ocean mixed layer is essential to world ocean circulation, coupled ocean-atmospheric system, vertical distributions of biological and chemical species, and global climate change studies. There is as yet no method for the direct remote sensing assessment of the mixed layer depth. However, the recent development of the mixed layer remote sensing models designed to predict the thermal inertia of the mixed layer using multi-satellites and multi sensors data provides useful information for the estimation of the daily mean and monthly mean mixed layer depth. This presentation aims to review the recent development of the mixed layer remote sensing models and to provide some results and sensitivity analysis of the models