NVIDIA Launches Earth-2 Family of Open Models — the World’s First Fully Open Set of Models and Tools for AI Weather

Accurate weather forecasting helps save lives and protect environments — and is a cornerstone of decision-making in agriculture, energy, public health and other industries. 

Researchers, weather agencies, climate-tech innovators and enterprises are already running, fine-tuning and building on these state-of-the-art models to unlock scientific breakthroughs using their own local AI infrastructure.

Weather Forecasting

AI weather tool provider Brightband — a member of the NVIDIA Inception program’s Sustainable Futures initiative — is running Earth-2 Medium Range to issue real-world global forecasts daily. 

“The revolution of new AI weather tools for forecasting is very exciting and continues to gather speed with new models like NVIDIA Earth-2 Medium Range,” said Julian Green, cofounder and CEO of Brightband. “Brightband is among the first to run Earth-2 Medium Range operationally, and the model being open source speeds up innovation, allowing easier comparison and improvements by other members of the weather enterprise.”

The Israel Meteorological Service is using Earth-2 CorrDiff in operation — and plans to use Earth-2 Nowcasting — to generate high-resolution forecasts up to eight times daily, enabling decision-makers to respond more effectively to extreme weather while reducing computational costs.

“NVIDIA Earth-2 models give us a 90% reduction in compute time at 2.5-kilometer resolution compared with running a classic numerical weather prediction model without AI on a CPU cluster,” said Amir Givati, director of the Israel Meteorological Service. “After a recent rainstorm, our AI model trained with CorrDiff was the best of all our operational models for a six-hour verification of accumulated precipitation.”

The Weather Company is evaluating Earth-2 Nowcasting for localized severe-weather applications, and NWS is evaluating the new models to enhance its operational workflows. 

Energy Forecasting and Grid Operations

TotalEnergies is evaluating Earth-2 Nowcasting to improve short-term risk awareness and decision-making.

“NVIDIA Earth-2 represents a major step forward in how advanced weather intelligence can be operationalized at scale,” said Emmanuel Le Borgne, climate and weather forecast product manager at TotalEnergies. “Models like Earth-2 Nowcasting are groundbreaking for our business because they improve short-term risk awareness and decision-making in energy systems where minutes and local impacts matter.”

Eni is intensively testing Earth-2 models, including FourCastNet and CorrDiff, for semi-operational downscaling of predictions to produce probabilistic, high-resolution forecasts of weather and gas demand weeks ahead.

GCL, one of China’s largest solar material producers and a global integrated energy operator, is running NVIDIA Earth-2 models in operation for its photovoltaic prediction system. Compared with traditional numerical weather prediction, Earth-2 provides more accurate prediction data at a lower cost, significantly improving the accuracy of GCL’s photovoltaic power generation prediction.

Southwest Power Pool, in collaboration with Hitachi, is using Earth-2 Nowcasting and FourCastNet3 to improve intraday and day-ahead wind forecasting. This effort supports Southwest Power Pool’s commitment to enhancing grid reliability and enabling more informed operational decisions across the SPP footprint.

Financial Impact Assessment

S&P Global Energy is harnessing NVIDIA Earth-2 CorrDiff to turn climate data into local insights for risk assessment. Global insurance group AXA is using FourCastNet to generate thousands of hypothetical hurricane scenarios as part of its R&D program in model evaluation, methodological development and benchmarking on existing techniques.