Improving seasonal forecast using probabilistic deep learning

no code implementations • 27 Oct 2020 • Baoxiang Pan, Gemma J. Anderson, Andre Goncalves, Donald D. Lucas, CEline J. W. Bonfils, Jiwoo Lee

We apply this probabilistic forecast methodology to quantify the impacts of initialization errors and model formulation deficiencies in a dynamical seasonal forecasting system.

Benchmarking Probabilistic Deep Learning