While companies struggle to quantify the return on investment of AI, the technology continues to show promise in powering weather forecasts and climate models.
NVIDIA CorrDiff: Solve extreme weather events with generative AI
On Monday, Nvidia unveiled a new generative AI diffusion model, developed in collaboration with Lawrence Berkeley National Lab and the University of Washington, that promises to track the development of storm cells faster and more accurately than existing methods.
The model, called StormCast, targets weather patterns that are larger than your typical storm but smaller than hurricanes. It was trained on 3.5 years of US National Oceanic and Atmospheric Administration (NOAA) climate data collected from the American heartland, where supercells and tornadoes are common foes, especially during hot summer months.
Compared to existing machine learning weather sims, which typically have a resolution of 30 kilometers and a time resolution of six hours, Nvidia says StormCast not only promises better resolution, in this case down to three kilometers, it can also generate new hourly forecasts.
