When temperatures in the Arctic rise in summer, sea ice and snow melt, creating pools of water called ‘melt ponds’. These are monitored using helicopter and satellite imagery to predict sea ice melt and understand the mechanisms that amplify Arctic warming. In this Special Input, Marlena Reil shows how deep learning models can vastly improve the accuracy of climate change predictions in the Arctic.