Improving seasonal forecast using probabilistic deep learning

Baoxiang Pan, Gemma J. Anderson, AndrE Goncalves +3

The path toward realizing the potential of seasonal forecasting and its socioeconomic benefits depends heavily on improving general circulation model based dynamical forecasting sy…