To better prepare communities for extreme weather, forecasters first need to see exactly where it’ll land. (View Highlight)
That’s why weather agencies and climate scientists around the world are harnessing NVIDIA CorrDiff, a generative AI weather model that enables kilometer-scale forecasts of wind, temperature, and precipitation type and amount. It’s part of the NVIDIA Earth-2 platform for simulating weather and climate conditions. (View Highlight)
With the rising frequency of extreme weather events, fast, high-resolution predictions of weather phenomena could help mitigate risks to people, communities and economies by supporting risk assessment, evacuation planning, disaster management and the development of climate-resilient infrastructure. (View Highlight)
CorrDiff uses generative AI to sharpen the precision of coarse-resolution weather models — resolving atmospheric data from 25-kilometer scale down to 2 kilometers using diffusion modeling, the same kind of AI model architecture that powers today’s text-to-image generation services. (View Highlight)
In addition to boosting image resolution, CorrDiff can also predict related variables that weren’t present in the input data — such as radar reflectivity, which is used as an indicator of rain location and intensity. (View Highlight)
NVIDIA researchers and engineers next worked to efficiently scale the model to cover a larger section of the globe. The version released as an NVIDIA NIM microservice at Supercomputing 2024 covers the continental United States — trained on U.S. weather data, with sample datasets of real-world natural disasters including hurricanes, floods, winter storms, tornados and cold waves. (View Highlight)
The optimized CorrDiff NIM microservice for U.S. data is 500x faster and 10,000x more energy-efficient than traditional high-resolution numerical weather prediction using CPUs. (View Highlight)
Meteorological agencies and companies around the globe are tapping CorrDiff to accelerate predictions with applications in regional forecasting, renewable energy and disaster management. (View Highlight)
