| # 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. |