Nikoli Dryden

By Torsten Hoefler, Dan Alistarh, Nikoli Dryden, and Tal Ben-Nun Deep learning continues to deliver surprising new capabilities for tasks such as image and object classification, game play, translation, and even molecular structure prediction and other significant advancements in the computational sciences. These tasks are often carried out at human or superhuman performance levels, and one could argue that machines take over where human understanding of complex systems ends.

1. Introduction Operational weather predictions have a large impact on society. They influence individuals on a daily basis and, in more severe cases, save lives and property by predicting extreme events such as tropical cyclones. However, developing reliable weather prediction systems is a difficult task due to the complexity of the Earth System and the chaotic behaviour of its components.