ClimaTea Journal Club


Tuesday, September 25, 2018, 3:00pm


HUCE Seminar Room MCZ 440

Speaker: Packard Chan

We are glad to have Packard to discuss machine learning in climate models. Please see the attached paper (link).

During he discussion, Packard will introduce the following points:
1. Deep learning can represent subgrid processes in climate models.

2. The prognostic multiyear simulations are stable and closely reproduce mean climate and variabilities.
3. Generalization works in some cases but fails the others.

See also: ClimaTea