Inversion algorithms for remote sensing of sea ice

In certain cases available electromagnetic measurements may not contain sufficient information to reconstruct sea ice parameters such as thickness, extent or concentration. In this study it is shown that by incorporating additional information provided by dynamical equations governing sea ice physics, the electromagnetic inverse problem can be constrained sufficiently to achieve more accurate reconstructions. To accomplish this, the time series data is processed within the constraints of dynamical equations to achieve the inversion. To demonstrate the concept, a theoretical thermodynamic model is used in conjunction with an electromagnetic model to predict the evolution of sea ice growth