Update README with pre-print link

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README.md

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 ---
 license: apache-2.0
-library_name: fme
 ---
 
 <img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;">
@@ -11,11 +10,11 @@ Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheri
 
 **Disclaimer: ACE models are research tools and should not be used for operational climate predictions.**
 
-ACE2-ERA5 is trained on the [ERA5 dataset](https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803) and is described in [ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses](https://www.nature.com/articles/s41612-025-01090-0). As part of that paper, the repository containing training and evaluation scripts and configuration files used for this model is located [here](https://github.com/ai2cm/ace2-paper).
+ACE2-ERA5 is trained on the [ERA5 dataset](https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803) and is described in [ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses](https://arxiv.org/abs/2411.11268).
 
 ### Quick links
 
-- 📃 [Paper](https://www.nature.com/articles/s41612-025-01090-0)
+- 📃 [Paper](https://arxiv.org/abs/2411.11268)
 - 💻 [Code](https://github.com/ai2cm/ace)
 - 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
 - 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
@@ -44,16 +43,3 @@ Some known weaknesses are:
 - the individual sensitivities to changing sea surface temperature and CO2 are not entirely realistic
 - the medium-range (3-10 day) weather forecast skill is not state of the art
 - not expected to generalize accurately for large perturbations of certain inputs (e.g. doubling of CO2)
-
-### Complete training dataset
-
-This repository only contains the data necessary for inference starting from a select number of
-past times. You can find the complete training dataset spanning 1940-2022 at this requester-pays
-Google cloud bucket: `gs://ai2cm-public-requester-pays/2024-11-13-ai2-climate-emulator-v2-amip/data/era5-1deg-1940-2022.zarr`.
-
-This dataset was generated from the ERA5 datasets hosted by Google Research (https://github.com/google-research/arco-era5)
-and NCAR (https://gdex.ucar.edu/datasets/d633000/).
-
-We acknowledge ECMWF and the Copernicus Climate Change Service for producing the ERA5 dataset.
-
-> This dataset contains modified Copernicus Climate Change Service information. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

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