Neural GCMs: A New Frontier in Climate Modeling

FengWu: Advancing Global Weather Forecasting with AI

FengWu leverages deep learning to enhance medium-range weather forecasts, surpassing current models like GraphCast with accurate predictions up to 10.75 days ahead.

Neural GCMs: A New Frontier in Climate Modeling

Neural Global Circulation Models (Neural GCMs) represent a cutting-edge approach to climate modelling that leverages the power of neural networks. Neural GCMs offer a potential solution by combining the strengths of machine learning with the physics-based understanding of climate systems.

Storms on the Line: AI’s Turn to Shine

Discover how machine learning is taking weather forecasting to the next level.

From Chaos to Clarity: The Rise of Satellites and Supercomputers

Explore the leap from uncertainty to precision in weather forecasting through technological advances.

Zephyr to Zeroes: The Elegant Alchemy of Forecast

Join us on a journey through the 20th century's greatest meteorological breakthroughs—from weather balloons and radar to the first computer forecasts and satellite tracking. Hear stories of the scientists who pioneered these tools, saving lives and revolutionizing how we understand the skies.