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license: cc-by-nc-nd-4.0

FuXi-S2S data:

The FuXi-S2S dataset is the official dataset generated by the FuXi-S2S model, covering the period from2002 to 2021. This dataset is a key resource for subseasonal forecasting and is derived from a modeltrained on 67 years of data (1950-2016) and evaluated on a 5-year dataset (2017-2021). For inguiriesabout additional datasets or potential collaborations with the FuXi team, please contact Professor Li Hao at: [email protected].

All cumulative variables, such as total precipitation (TP), are calculated as hourly averages over a 24-hour period. To obtain daily accumulated values, these variables must be multiplied by 24.

Citation:

If you use this dataset, please cite the following 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={1}, pages={6425}, year={2024}, publisher={Nature Publishing Group UK London} }

License:

Creative Commons Attribution Non Commercial No Derivatives 4.0