M2LInES/Samudra-OM4

---
license: mit
---

# Samudra 🌊
This repository contains the data used to train and test the Samudra Ocean Emulator described in the paper ["Samudra: An AI Global Ocean Emulator for Climate"](https://arxiv.org/abs/2412.03795). Samudra is a skillful global emulator of the ocean component of a state-of-the-art climate model. We emulate key ocean variables, sea surface height, horizontal velocities, temperature, and salinity, across their full depth. Refer the code [here](https://github.com/m2lines/Samudra.git)

<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66843421443492c24ce5a19a/jP-SZ0oW9hVOWNZKMouj0.gif" >
</p>

The data is also publicly hosted as uncompressed zarrs on our pod:

```python
import xarray as xr
data = xr.open_dataset("https://nyu1.osn.mghpcc.org/m2lines-pubs/Samudra/OM4", engine='zarr', chunks={})
```

### Citing
If you use this data in your research, please consider citing the following paper:
```
@article{dheeshjith2024samudra,
title={Samudra: An AI Global Ocean Emulator for Climate},
author={Dheeshjith, Surya and Subel, Adam and Adcroft, Alistair and Busecke, Julius and Fernandez-Granda, Carlos and Gupta, Shubham and Zanna, Laure},
journal={arXiv preprint arXiv:2412.03795},
year={2024}
}
```

---许可证：MIT---

# Samudra 🌊
本仓库包含用于训练和测试论文《Samudra：面向气候的AI全球海洋模拟器（Samudra: An AI Global Ocean Emulator for Climate）》（https://arxiv.org/abs/2412.03795）中所述的Samudra海洋模拟器（Samudra Ocean Emulator）的数据集。Samudra是一款性能优异的全球模拟器，可精准复刻最先进气候模型的海洋分量。我们模拟了覆盖全水深范围的关键海洋变量：海面高度、水平流速、温度与盐度。相关代码请参见[此处](https://github.com/m2lines/Samudra.git)

<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66843421443492c24ce5a19a/jP-SZ0oW9hVOWNZKMouj0.gif" >
</p>

该数据集同时以未压缩的Zarr格式公开托管于我们的存储节点：

python
import xarray as xr
data = xr.open_dataset("https://nyu1.osn.mghpcc.org/m2lines-pubs/Samudra/OM4", engine='zarr', chunks={})

### 引用说明
若您在研究中使用本数据集，请引用如下论文：

@article{dheeshjith2024samudra,
title={Samudra: An AI Global Ocean Emulator for Climate},
author={Dheeshjith, Surya and Subel, Adam and Adcroft, Alistair and Busecke, Julius and Fernandez-Granda, Carlos and Gupta, Shubham and Zanna, Laure},
journal={arXiv preprint arXiv:2412.03795},
year={2024}
}