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AI in Weather and Climate Prediction: Progress, Challenges, and Outlooks


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Invited Talk
Recent Progresses of Fengwu for Weather and Climate Prediction
Fenghua LING, Shanghai AI Lab

Biography

Dr. Fenghua Ling is a Young Research Fellow at the Shanghai AI Laboratory and a member of OpenEarthLab, which is focused on developing cutting-edge spatiotemporal generation algorithms to advance Earth science, including weather and climate forecasting and scientific discovery through artificial intelligence.

Dr. Ling received his Ph.D. in meteorology from Nanjing University of Information Science and conducted postdoctoral research at JAMSTEC in Japan. Since 2023, he has been involved in the development of several meteorological models, including Fengwu, Fengwu-GHR, Fengwu-Adas, ORCA, and Fengwu-W2S. These models cover medium-term weather forecasting, high-resolution meteorological modeling, marine climate forecasting, and seamless sub-seasonal forecasting. The Fengwu family has emerged as one of the leading AI meteorological models globally, often demonstrating exceptional predictive capabilities.


Recent Progresses of Fengwu for Weather and Climate Prediction

Fenghua LING#+
Shanghai AI Lab, China

Understanding and predicting Earth's system has been a fundamental human pursuit throughout history. With the increasing availability of multi-source Earth observation data (including satellites and radars) and advancements in large-scale computing infrastructure, artificial intelligence has demonstrated growing advantages in processing massive geoscience datasets, offering innovative solutions for weather forecasting, environmental monitoring, and climate change. This presentation will first introduce our team's AI-driven weather forecasting systems, then focus on two key achievements: Fengwu-GHR (the world's first 10km-resolution global weather forecasting model) and Fengwu-W2S (a seamless prediction model spanning medium-term to seasonal scales), finally concluding with perspectives on future AI applications in Earth system science.





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