What we’re experiencing is very different from the global average.
To make our future a reality today, simulation is the answer.
Unlike predicting the weather, which primarily models atmospheric physics, climate models are multidecade simulations that model the physics, chemistry and biology of the atmosphere, waters, ice, land and human activities.
Climate simulations are configured today at 10- to 100-kilometer resolutions.
But greater resolution is needed to model changes in the global water cycle — water movement from the ocean, sea ice, land surface and groundwater through the atmosphere and clouds.
Meter-scale resolution is needed to simulate clouds that reflect sunlight back to space.
For the first time, we have the technology to do ultra-high-resolution climate modeling, to jump to lightspeed and predict changes in regional extreme weather decades out.
We can achieve million-x speedups by combining three technologies: 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.
And with super-resolution techniques, we may have within our grasp the billion-x leap needed to do ultra-high-resolution climate modeling.
So, we will dedicate ourselves and our significant resources to direct NVIDIA’s scale and expertise in computational sciences, to join with the world’s climate science community.
NVIDIA this week revealed plans to build the world’s most powerful AI supercomputer dedicated to predicting climate change.
All the technologies we’ve invented up to this moment are needed to make Earth-2 possible.