From 06d145df7bca712f3957d2eaabc20e9b87a4d207 Mon Sep 17 00:00:00 2001 From: Oliver Watt-Meyer Date: Tue, 3 Sep 2024 12:05:47 -0700 Subject: [PATCH] Add link to E3SMv2-trained paper and checkpoint (#12) * Add link to E3SMv2-trained paper and checkpoint * lint --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cc9f7c8..070a67e 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ [![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)). +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)). ## Documentation @@ -11,10 +11,12 @@ See complete documentation [here](https://ai2-climate-emulator.readthedocs.io/en A quickstart guide may be found [here](https://ai2-climate-emulator.readthedocs.io/en/latest/quickstart.html). -## Model checkpoint +## Model checkpoints -The trained ACE checkpoint and a 1-year subsample of the validation dataset is available in +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 +and the corresponding dataset are available [here](https://portal.nersc.gov/archive/home/projects/e3sm/www/e3smv2-fme-dataset). ## Available datasets Two versions of the complete dataset described in [arxiv:2310.02074](https://arxiv.org/abs/2310.02074)