26 citations · 85 across the 25 of their papers we have counts for
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physics.ao-ph2023★ 4 cited
FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
Lei Chen, Xiaohui Zhong, Hao Li +8
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand scientific challenge. Recently, machine learning based weather forecasting models outperf…
physics.ao-ph2023
Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme
Xiaohui Zhong, Xing Yu, Hao Li
Warm-sector heavy rainfall often occurs along the coast of South China, and it is usually localized and long-lasting, making it challenging to predict. High-resolution numerical we…
cs.LG2023★ 10 cited
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model
Xiaohui Zhong, Lei Chen, Jun Liu +3
Significant advancements in the development of machine learning (ML) models for weather forecasting have produced remarkable results. State-of-the-art ML-based weather forecast mod…