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# ACE2-ERA5
Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries.
**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.**
ACE-climSST is the original `ACE' model, as described in [ACE: A fast, skillful learned global atmospheric model for climate prediction](https://arxiv.org/abs/2310.02074).
It is trained on output from the FV3GFS atmospheric model forced with annually-repeating climatological sea surface temperature.
Code for doing inference with ACE models can be found here: [https://github.com/ai2cm/ace](https://github.com/ai2cm/ace)
with corresponding documentation here: [https://ai2-climate-emulator.readthedocs.io/en/stable/](https://ai2-climate-emulator.readthedocs.io/en/stable/)
Briefly, the strengths of ACE-climSST are:
- long-term stability
- highly accurate time-mean climate compared to its target dataset
- very fast inference compared to typical physics-based atmospheric models
Some known weaknesses are:
- responses to more El Niño-like sea surface temperature and long-term warming trends are not accurately captured
- small but non-zero drifts in total dry air mass of the atmosphere
Refer to [published manuscript](https://arxiv.org/abs/2310.02074) for more details. |