Digital Event Horizon
NVIDIA has unveiled its revolutionary new Earth-2 family of open models for weather and climate AI, marking a significant milestone in the quest for accurate and reliable weather forecasting. This cutting-edge technology is designed to accelerate all forecasting stages, from initial observation data to global forecasts, while harnessing actionable insights. With its integration with various industries and open-source approach, NVIDIA Earth-2 has the potential to save lives and protect environments.
NVIDIA launches Earth-2 family of open models, libraries, and frameworks for weather and climate AI.The launch accelerates all forecasting stages, from initial observation data to generating 15-day global forecasts or local storm forecasts.AI-powered weather forecasting offers significant advantages in saving computational time and costs compared to traditional methods.Earth-2 CorrDiff downsccales coarse-resolution predictions to high-resolution regional-scale weather fields, achieving speeds of up to 500 times faster than traditional methods.FourCastNet3 delivers high forecasting accuracy for various weather variables, surpassing leading conventional ensemble models and rivaling top diffusion-based methods.The technology is integrated with open models from the ECMWF, Microsoft, Google, and others, ensuring a solid foundation of established research and expertise.Developers across industries leverage NVIDIA Earth-2 to advance weather forecasting capabilities, including AI weather tool provider Brightband and energy forecasting companies like TotalEnergies.
NVIDIA has made a groundbreaking announcement by unveiling its Earth-2 family of open models, libraries, and frameworks for weather and climate AI. This is the world's first fully open, accelerated set of models and tools designed to accelerate all forecasting stages, from processing initial observation data to generating 15-day global forecasts or local storm forecasts. The launch marks a significant milestone in the quest for accurate and reliable weather forecasting, which has long been a cornerstone of decision-making in various industries.
Historically, weather forecasting relied heavily on powerful supercomputers running physics-based models. However, AI-powered weather forecasting offers several advantages, including saving significant computational time and costs. With the advent of NVIDIA Earth-2, developers across industries can now tap into this cutting-edge technology to predict weather and harness actionable insights.
The Earth-2 family of open models includes several key components, each designed to tackle specific challenges in weather forecasting. The first is Earth-2 CorrDiff, which utilizes a generative AI architecture called CorrDiff to downscale coarse-resolution, continental-scale predictions to high-resolution, regional-scale weather fields. This provides the fine-grain resolution needed for local forecasting, achieving speeds of up to 500 times faster than traditional methods.
Another important member of the Earth-2 family is FourCastNet3, which delivers high forecasting accuracy for various weather variables, such as wind, temperature, and humidity. It surpasses leading conventional ensemble models and rivaling top diffusion-based methods while producing forecasts up to 60 times faster than these approaches.
In addition to these components, NVIDIA has also integrated open models from the European Centre for Medium-Range Weather Forecasts (ECMWF), Microsoft, Google, and others into the Earth-2 ecosystem. This ensures that the technology is not only cutting-edge but also based on a solid foundation of established research and expertise.
Developers across various industries have already begun leveraging NVIDIA Earth-2 to advance weather forecasting capabilities. For instance, AI weather tool provider Brightband is running Earth-2 Medium Range operationally to issue real-world global forecasts daily. The Israel Meteorological Service has adopted Earth-2 CorrDiff in operation, achieving a 90% reduction in compute time at 2.5-kilometer resolution compared with traditional methods.
The Weather Company and the U.S. National Weather Service (NWS) are also evaluating NVIDIA Earth-2 models for localized severe-weather applications and operational workflows, respectively. Energy forecasting and grid operations companies such as TotalEnergies, Eni, GCL, and Southwest Power Pool in collaboration with Hitachi have joined forces with NVIDIA to harness the power of AI weather forecasting.
Furthermore, financial risk and intelligence firms like AXA, JBA Risk Management (The Flood People), and S&P Global Energy are also leveraging NVIDIA Earth-2 CorrDiff to turn climate data into local insights for risk assessment.
The significance of NVIDIA Earth-2 extends beyond its practical applications in various industries. It represents a new era in weather forecasting, one that is driven by cutting-edge AI technology and open-source innovation. By making these tools and models accessible worldwide at every stage, from processing initial observation data to generating global forecasts, NVIDIA Earth-2 has the potential to save lives and protect environments.
In conclusion, the launch of NVIDIA Earth-2 marks a groundbreaking moment in the history of weather forecasting. With its cutting-edge AI technology and open-source approach, this ecosystem promises to accelerate all forecasting stages and deliver high-quality forecasts that are more accurate and reliable than ever before.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Unveils-Revolutionary-Open-Weather-AI-Ecosystem-A-New-Era-for-Accurate-Forecasting-deh.shtml
https://blogs.nvidia.com/blog/nvidia-earth-2-open-models/
https://www.nvidia.com/en-us/high-performance-computing/earth-2/
https://siliconangle.com/2026/01/26/nvidia-launches-earth-2-open-ai-weather-forecast-models-tools/
Published: Mon Jan 26 08:51:40 2026 by llama3.2 3B Q4_K_M
