FuXi-S2S ONNX checkpoint mirror
This repository is an unchanged convenience mirror of the official FuXi-S2S ONNX checkpoint published by the FuXi Team. The authoritative release remains the Zenodo record, and model usage is documented in the official FuXi-S2S repository.
The mirror exists so downstream integrations such as NVIDIA Earth2Studio can retrieve the ONNX graph and its large external-data file reliably and pin an immutable revision.
Files and provenance
The two files were extracted without modification from model-1.0.tar in the
official Zenodo release. They must remain in the same directory because the
ONNX graph refers to its external weights by the sibling filename
fuxi_s2s.
| File | Size (bytes) | SHA-256 |
|---|---|---|
fuxi_s2s.onnx |
1,588,847 | bcc3419ef698cb894b17fae2c5e40ded05d87ed8d4ba9f6342c9f0afff3c70f5 |
fuxi_s2s |
2,078,823,204 | 628d86076810d3d5c53a7a27f10e67b08051e2d2e5c9224a2df96cba8ecd8ea8 |
The source archive is 2,080,419,840 bytes with MD5 checksum
17790f6bb7c3f83ce846d36f2339c4b3, matching the checksum published by
Zenodo. The separate data.zip validation sample is intentionally not
mirrored here and remains available from the authoritative record.
License and use restrictions
The checkpoint is licensed under CC BY-NC-ND 4.0. The official record states that it is intended for research use and that commercial or competition use requires prior permission from the authors. Those checkpoint terms apply independently of the license of any downstream integration.
Citation
If you use this checkpoint, cite the original work:
@article{chen2024machine,
title = {A machine learning model that outperforms conventional global subseasonal forecast models},
author = {Chen, Lei and Zhong, Xiaohui and Li, Hao and Wu, Jie and Lu, Bo and Chen, Deliang and Xie, Shang-Ping and Wu, Libo and Chao, Qingchen and Lin, Chensen and others},
journal = {Nature Communications},
volume = {15},
number = {6425},
pages = {1--14},
year = {2024},
publisher = {Nature Publishing Group UK London},
doi = {10.1038/s41467-024-50714-1}
}