Master Thesis “Deep Learning for Future Frame Prediction of Weather Maps”

Severin Hußmann sucessfully finished his master studies at Humboldt-University of Berlin. His master thesis “Deep Learning for Future Frame Prediction of Weather Maps” focuses on applying data-driven deep learning methodologies to the field of weather forecasting, specifically air temperature over Europe. A future frame prediction model from the computer vision field is trained with the three input variables air temperature, surface pressure, and the 500 hPa geopotential in order to predict the air temperature itself. The experiments show that the model can make better hourly and even several-hour predictions than the persistence assumption.