M2LInES/Samudra_OM4

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". 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

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

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}
}