The Earth-2 simulator will have the technology to do ultra-high-resolution climate modeling, to jump to lightspeed and predict changes in regional extreme weather decades out. The system would create a digital twin of Earth in Omniverse. It’ll be a physically-accurate, high-fidelity, and ultra high-resolution replica of Earth continuously running to predict climate and weather events at the regional and global scales. By combining GPU-accelerated computing; deep learning and breakthroughs in physics-informed neural networks; and AI supercomputers, along with vast quantities of observed and model data to learn from, they can achieve these climate predictions.

We need to confront climate change now, but still we won’t feel the impact of our efforts for decades. It’s hard to mobilise action for something so far in the future. But we must know our future today — see it and feel it — so we can act with urgency. And so NVIDIA believes that to make our future a reality today, simulation is the answer.

Countries, cities and towns can get early warnings to adapt and make infrastructures more resilient. And with more accurate predictions, people and nations will act with more urgency. The system would be the climate change counterpart to Cambridge-1, the world’s most powerful AI supercomputer for healthcare research.