---
license: cc-by-4.0
tags:
- seaice
- emulation
---

**FloeNet** 
<p align="center">
  <img src="https://huggingface.co/M2LInES/FloeNet-OM4/resolve/main/Arctic_FloeNet_2007.gif" >
</p>

## Quick links

- 📃 [Paper](https://doi.org/10.1029/2026GL122981)
- 💻 [Code](https://github.com/ai2cm/ace)
- 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
  
This repository contains the optimized weights for the FloeNet sea ice emulator. The model has been trained on simulated data from a reanalysis-forced ice-ocean simulation, using the Geophysical Fluid Dynamics Laboratory (GFDL) coupled ocean-sea-ice model, OM4.

Here are some instructions with how to download and run FloeNet in inference mode (see also quick links at the top for additional resources)

    $ conda create -n FloeNet_env "python==3.11"
    $ conda activate FloeNet_env
    $ cd /archive/$USER
    $ mkdir Running_FloeNet 
    $ cd Running_FloeNet
    $ pip install -U "huggingface_hub"
    $ hf download M2LInES/FloeNet-OM4 --local-dir /archive/$USER/Running_FloeNet/FloeNet-OM4
    $ git clone https://github.com/ai2cm/ace.git
    $ export PYTHONPATH=/archive/$USER/Running_FloeNet/ace:$PYTHONPATH
    $ cd ace
    $ python -m pip install -c constraints.txt -e .[graphcast]
    $ python -m fme.ace.inference ../FloeNet-OM4/inference_config_piControl.yaml