This study investigates whether assimilating sea ice thickness observations into a global climate model can improve reanalysis and seasonal prediction skill of the Antarctic sea ice. We found that assimilation of sea ice thickness improves the representation of sea ice variability, especially in western Antarctica. We also show that initialisation of predictions with sea ice thickness data assimilation can improve forecasts of sea ice concentration, extent and thickness in summer and autumn.