| license: apache-2.0 | |
| library_name: fme | |
| <img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;"> | |
| # ACE-climSST | |
| 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. | |
| Quick links: | |
| - 📃 [Paper](https://arxiv.org/abs/2310.02074) | |
| - 💻 [Code](https://github.com/ai2cm/ace) | |
| - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/) | |
| - 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4) | |
| 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 El Niño-like sea surface temperature variability and long-term warming trends are not accurately captured, | |
| - small but non-zero drifts in total dry air mass of the atmosphere. | |
| Note the checkpoint provided here is the same as the one in [this Zenodo repository](https://zenodo.org/records/10791087), just with the optimizer state removed to decrease the checkpoint size. |