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Sep 25, 2024
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Add link to published EAMv2 paper in JGR-ML #16

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Update link to EAMv2 paper.
jpdunc23 Sep 25, 2024
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Update other link to EAMv2 paper
jpdunc23 Sep 25, 2024
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4 changes: 2 additions & 2 deletions README.md
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[![Docs](https://readthedocs.org/projects/ai2-climate-emulator/badge/?version=latest)](https://ai2-climate-emulator.readthedocs.io/en/latest/)

# ACE: Ai2 Climate Emulator
This repo contains code accompanying "ACE: A fast, skillful learned global atmospheric model for climate prediction" ([arxiv:2310.02074](https://arxiv.org/abs/2310.02074)) and "Application of the Ai2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity" ([preprint](https://doi.org/10.22541/au.170864176.62037635/v2)).
This repo contains code accompanying "ACE: A fast, skillful learned global atmospheric model for climate prediction" ([arxiv:2310.02074](https://arxiv.org/abs/2310.02074)) and "Application of the Ai2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity" ([JGR-ML](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136)).

## Documentation

Expand All @@ -15,7 +15,7 @@ A quickstart guide may be found [here](https://ai2-climate-emulator.readthedocs.

The trained ACE checkpoint and a 1-year subsample of the validation dataset used in [arxiv:2310.02074](https://arxiv.org/abs/2310.02074) are available in
[this Zenodo repository](https://doi.org/10.5281/zenodo.10791087).
The checkpoint trained on the [E3SMv2](https://doi.org/10.22541/au.170864176.62037635/v2) model
The checkpoint trained on the [E3SMv2](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JH000136) model
and the corresponding dataset are available [here](https://portal.nersc.gov/archive/home/projects/e3sm/www/e3smv2-fme-dataset).

## Available datasets
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