Improving seasonal forecast using probabilistic deep learning (arxiv.org)

Specifically, using a variational autoencoder.

It's great to see that models from the deep learning literature are being adopted in fields such as weather forecasting!

Researchers determined that a NN of saliency maps could predict El Niño/Southern Oscillation (ENSO) in climate simulations based on relatively few observational records (page 2).