A machine learning model that outperforms conventional global subseasonal forecast models

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Hao Li, Lei Chen, Xiaohui Zhong, Jie Wu, Deliang Chen, Shang-Ping Xie, Qingchen Chao, Chensen Lin, Zixin Hu, Bo Lu, Yuan Qi

Published: 14 Feb 2024, Last Modified: 12 Nov 2025CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: Skillful subseasonal forecasts beyond 2 weeks is critical to various sectors of society but pose a grand scientific challenge. Recently, machine learning based weather forecasting models have made remarkable advancements, outperforming the most successful numerical weather predictions (NWP) ge...