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@@ -11,8 +11,8 @@ This repo contains code accompanying five papers describing ACE models:
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- "ACE: A fast, skillful learned global atmospheric model for climate prediction" ([link](https://arxiv.org/abs/2310.02074))
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- "Application of the Ai2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity" ([link](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136))
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- "ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses" ([link](https://www.nature.com/articles/s41612-025-01090-0))
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- "ACE2-SOM: Coupling to a slab ocean and learning the sensitivity of climate to changes in CO2" ([link](https://arxiv.org/abs/2412.04418))
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- "Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model" ([link](https://arxiv.org/abs/2505.08742))
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- "ACE2-SOM: Coupling an ML Atmospheric Emulator to a Slab Ocean and Learning the Sensitivity of Climate to Changed CO<sub>2</sub>" ([link](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000575))
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- "Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model" ([link](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH000774))
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## Installation
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## Model checkpoints
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Pretrained model checkpoints, and datasets to run them, are available in the [ACE Hugging Face](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4) collection.
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Pretrained model checkpoints are available in the [ACE Hugging Face](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4) collection.
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## Available datasets
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Two versions of the complete dataset described in [arxiv:2310.02074](https://arxiv.org/abs/2310.02074)
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are available on a [requester pays](https://cloud.google.com/storage/docs/requester-pays) Google Cloud Storage bucket:
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