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license: mit |
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# Samudra 🌊 |
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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) |
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66843421443492c24ce5a19a/jP-SZ0oW9hVOWNZKMouj0.gif" > |
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</p> |
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The data is also publicly hosted as uncompressed zarrs on our pod: |
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```python |
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import xarray as xr |
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data = xr.open_dataset("https://nyu1.osn.mghpcc.org/m2lines-pubs/Samudra/OM4", engine='zarr', chunks={}) |
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``` |
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### Citing |
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If you use this data in your research, please consider citing the following paper: |
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``` |
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@article{dheeshjith2024samudra, |
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title={Samudra: An AI Global Ocean Emulator for Climate}, |
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author={Dheeshjith, Surya and Subel, Adam and Adcroft, Alistair and Busecke, Julius and Fernandez-Granda, Carlos and Gupta, Shubham and Zanna, Laure}, |
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journal={arXiv preprint arXiv:2412.03795}, |
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year={2024} |
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} |
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``` |
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