临近预报
地球静止轨道
雷雨
对流
气象学
卫星
环境科学
遥感
对流风暴探测
地球静止运行环境卫星
数值天气预报
扩散
恶劣天气
天气预报
气候学
提前期
对流电池
微功率
计算机科学
气候模式
数据同化
作者
Kuai Dai,Xutao Li,Junying Fang,Yunming Ye,Demin Yu,Hui Su,Di Xian,Danyu Qin,Jingsong Wang
标识
DOI:10.1073/pnas.2517520122
摘要
), remarkable accuracy, and high resolution (15 min; 4 km). Its performance reaches a new height in convection nowcasting compared to the existing models. In terms of application, our system is highly transferable with the potential to collaborate with multiple satellites for global convection nowcasting. Furthermore, our results highlight the remarkable capabilities of diffusion models in convective clouds forecasting, as well as the significant value of geostationary satellite data when empowered by AI technologies.
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