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| | license: apache-2.0 |
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| | <img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;"> |
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| | # HiRO-ACE |
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| | The HiRO-ACE framework enables efficient generation of 3 km precipitation fields over decades of simulated climate and arbitrary regions of the globe. |
| | HiRO (High Resolution Output) is a diffusion model which generates downscaled fields at 3 km resolution from 100 km resolution inputs. The HiRO checkpoint included in this model generates 6-hourly averaged surface precipitation rates at 3 km resolution. The Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries. For usage with the HiRO downscaling model, we include a checkpoint for ACE2S. Compared to previous ACE models, ACE2S uses an updated training procedure and can generate stochastic predictions. For more details, please see the accompanying HiRO-ACE paper linked below. |
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| | ### Quick links |
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| | - 📃 [Paper](https://arxiv.org/pdf/2512.18224) |
| | - 💻 [Code](https://github.com/ai2cm/ace) |
| | - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/) |
| | - 📂 [All ACE Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4) |
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| | ### Inference quickstart |
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| | 1. Download this repository. Optionally, you can just download a subset of the `forcing_data` and `initial_conditions` for the period you are interested in. |
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| | 2. Update paths in the `inference_config.yaml`. Specifically, update `experiment_dir`, `checkpoint_path`, `initial_condition.path` and `forcing_loader.dataset.path`. |
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| | 3. Install code dependencies with `pip install fme`. |
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| | 4. Run ACE inference with `python -m fme.ace.inference inference_config.yaml`. |
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| | 5. Update paths in the `downscaling_config.yaml`. Specifically, update `experiment_dir`, `model.checkpoint_path`, and `data.coarse`. `data.coarse` data path(s) should point to the saved ACE inference output from step 4. |
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| | ### Strengths and weaknesses |
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| | <!-- will leave to Andre and Troy to decide what to list here --> |
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| | ## License |
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| | This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). |
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