--- license: cc-by-4.0 tags: - ocean - emulation - climate - weather --- **Samudra 2** ## Quick links - 📃 [Paper](https://arxiv.org/abs/2606.02610) - 💻 [Code](https://github.com/m2lines/Samudra) - 💬 [Docs](https://m2lines.github.io/Samudra/docs/) This repository contains the optimized (EMA) weights for **Samudra 2**, an autoregressive neural ocean emulator. Samudra 2 scales the original [Samudra](https://github.com/m2lines/Samudra) emulator from 1° to finer resolutions, producing stable multi-year global rollouts at 1°, 1/2°, and 1/4°. The model is trained on simulated data from the Geophysical Fluid Dynamics Laboratory (GFDL) ocean model configuration **OM4**, and predicts temperature, salinity, velocities, and sea surface height across depth levels. Compared to its predecessor, Samudra 2 uses a wider ConvNeXt U-Net backbone and a dynamic variance-weighted loss that reweights output channels by prediction error, improving deep-ocean fields and enabling stable rollouts at higher resolution. ## Repository contents This repo provides one exponential-moving-average checkpoint per resolution: | Path | Resolution | | --- | --- | | `onedeg/ema_ckpt.pt` | 1° | | `halfdeg/ema_ckpt.pt` | 1/2° | | `quarterdeg/ema_ckpt.pt` | 1/4° | ## Download Download a single resolution (recommended) or the whole repo with the Hugging Face CLI: $ pip install -U "huggingface_hub" # one resolution $ hf download M2LInES/Samudra2 onedeg/ema_ckpt.pt --local-dir ./Samudra2 # or the full repository $ hf download M2LInES/Samudra2 --local-dir ./Samudra2 Or from Python: ```python from huggingface_hub import hf_hub_download import torch ckpt_path = hf_hub_download("M2LInES/Samudra2", "onedeg/ema_ckpt.pt") state = torch.load(ckpt_path, map_location="cpu") ``` ## Usage Set up the Samudra environment and load a checkpoint into the model. See the [documentation](https://m2lines.github.io/Samudra/docs/) for the full quick-start, config files for each resolution, and rollout/evaluation examples. $ git clone https://github.com/m2lines/Samudra.git $ cd Samudra $ uv sync --dev $ source .venv/bin/activate ## Citation If you use Samudra 2, please cite: ```bibtex @article{yuan2026samudra2, title = {Samudra 2: Scaling Ocean Emulators across Resolutions}, author = {Yuan, Yuan and Rusak, Jesse and Merose, Alexander and Subel, Adam and Perezhogin, Pavel and Adcroft, Alistair and Fernandez-Granda, Carlos and Zanna, Laure}, journal = {arXiv preprint arXiv:2606.02610}, year = {2026}, url = {https://arxiv.org/abs/2606.02610} } ```