FuXi-S2S
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下载链接:
https://modelscope.cn/datasets/SAIS/FuXi-S2S
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资源简介:
---
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: lihao_lh@fudan.edu.cn.
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.
# FuXi-S2S model:
The FuXi-S2S model is available at https://zenodo.org/uploads/15718402
Note: This model is intended for research purposes only. Commercial use or use in competitions is strictly prohibited without prior permission from the authors.
# 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={6425},
pages={1-14},
year={2024},
publisher={Nature Publishing Group UK London},
doi={https://doi.org/10.1038/s41467-024-50714-1}}
}
# License:
Creative Commons Attribution Non Commercial No Derivatives 4.0
--- 许可协议:CC BY-NC-ND 4.0 ---
# FuXi-S2S 数据集:
FuXi-S2S数据集是由FuXi-S2S模型生成的官方数据集,时间覆盖范围为2002年至2021年。该数据集是次季节预报的关键研究资源,其源自一个在1950年至2016年共67年数据上训练、并在2017年至2021年共5年数据集上评估的模型。若需获取额外数据集或与FuXi团队开展潜在合作,请联系李浩教授,邮箱:lihao_lh@fudan.edu.cn。
所有累积变量(例如总降水量(TP))均按24小时周期的小时平均值计算。若要获取日累积值,需将这些变量乘以24。
# FuXi-S2S 模型:
FuXi-S2S模型的获取地址为:https://zenodo.org/uploads/15718402
注意:本模型仅用于科研目的。未经作者事先许可,严禁将其用于商业用途或各类竞赛。
# 引用说明:
若您使用本数据集,请引用以下文献:
@article{chen2024machine,
title={《优于传统全球次季节预报模型的机器学习模型》},
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={《自然-通讯》},
volume={15},
number={6425},
pages={1-14},
year={2024},
publisher={英国伦敦自然出版集团},
doi={https://doi.org/10.1038/s41467-024-50714-1}
}
# 许可协议:
知识共享署名-非商业性使用-禁止演绎4.0国际许可(CC BY-NC-ND 4.0)
提供机构:
maas
创建时间:
2025-06-13
搜集汇总
数据集介绍

背景与挑战
背景概述
FuXi-S2S数据集是用于次季节预报的官方数据集,覆盖2002年至2021年,基于67年训练数据生成,包含累计变量如总降水量,需乘以24转换为日累计值。该数据集仅限研究使用,禁止商业用途,引用需遵循指定文献。
以上内容由遇见数据集搜集并总结生成



