Add link to published EAMv2 paper (#16)

Author: jpdunc23

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)) 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
 
@@ -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