This repo contains code accompanying "ACE: A fast, skillful learned global atmospheric model for climate prediction" (arxiv:2310.02074).
See complete documentation here.
A quickstart guide may be found here.
The trained ACE checkpoint and a 1-year subsample of the validation dataset is available in this Zenodo repository.
Two versions of the complete dataset described in arxiv:2310.02074 are available on a requester pays Google Cloud Storage bucket:
gs://ai2cm-public-requester-pays/2023-11-29-ai2-climate-emulator-v1/data/repeating-climSST-1deg-zarrs
gs://ai2cm-public-requester-pays/2023-11-29-ai2-climate-emulator-v1/data/repeating-climSST-1deg-netCDFs
The zarr
format is convenient for ad-hoc analysis. The netCDF version contains our
train/validation split which was used for training and inference.