By Efosa Udinmwen
Publication Date: 2026-01-30 20:35:00
- Nvidia Earth-2 accelerates weather forecasting and reduces computational costs significantly
- Earth-2 includes CorrDiff, FourCastNet3, Medium Range, Nowcasting, Global Data Assimilation, and the PhysicsNeMo framework
- Energy companies rely on Earth-2 to improve grid reliability and photovoltaic predictions
Nvidia has unveiled its new Earth-2 family of open AI models, which it says could transform weather forecasting and climate prediction as we know it.
The Nvidia Earth-2 family includes CorrDiff, FourCastNet3, Medium Range, Nowcasting, Global Data Assimilation, and the PhysicsNeMo framework for training and fine-tuning AI-physics models.
These models integrate high-resolution data from satellites, radar, and weather stations to provide continuous estimates of atmospheric conditions.
High-resolution modeling for rapid forecasts
Earth-2 uses generative AI to accelerate every stage of forecasting, from processing observational data to generating global and localized storm predictions.
CorrDiff uses a generative AI architecture to downscale coarse continental predictions into high-resolution regional forecasts, producing results up to 500x faster than traditional methods.
FourCastNet3 delivers accurate forecasts for wind, temperature, and humidity, surpassing conventional ensemble models while providing predictions up to 60x faster.
The system also integrates models from the European Centre for Medium-Range Weather Forecasts, Microsoft, and Google, enabling users to…
