Accelerated high-resolution climate and weather simulations with interactive visualization.

Earth-2 Data: DKRZ/MPI-M, ICON Model

Accelerating Climate Change Predictions

NVIDIA Earth-2 is a full-stack, open platform that accelerates climate and weather predictions with interactive, high-resolution simulation. It includes physical simulation of numerical models like ICON and IFS; neural network models such as FourCastNet, GraphCast, and Deep Learning Weather Prediction (DLWP) through NVIDIA Modulus; and data federation and visualization with NVIDIA Omniverse™. Running on NVIDIA DGX™ GH200 , HGX H100, and OVX supercomputers, Earth-2 will provide a path to simulate and visualize the global atmosphere at unprecedented speed and scale.

The Development Platform for Climate Science

Higher Resolution and Large-Scale AI Training

The Earth-2 accelerated systems will enable climate scientists to produce kilometer (km)-scale climate simulations, conduct large-scale AI training and inference, and achieve low-latency interactivity.

GPU-Optimized and Accelerated Climate Simulation

The Earth-2 development platform is optimized for GPU-accelerated numerical climate simulations at km-scale to maximize simulated days per day (SDPD). NVIDIA Modulus integrates support for numerous neural network models for climate and weather simulation.

Data Federation and Interactive Weather Visualization

NVIDIA Omniverse enables ultra-large-scale, high-fidelity, interactive visualizations that depict weather conditions across the globe. Omniverse Nucleus includes a data federation engine that offers transparent data access across external databases and live feeds.


Watch NVIDIA founder and CEO Jensen Huang share our latest collaborations and innovations in climate science during the Berlin Summit for Earth Visualization Engines (EVE) keynote.


Explore Earth-2 Demos

Accelerating Carbon Capture and Storage with Fourier Neural Operator and NVIDIA Modulus

By accelerating analysis 700,000X, NVIDIA Omniverse and Modulus can help engineers with the planning and operation of carbon capture and storage, ensuring safe operation and long-term storage and reducing the amount of carbon dioxide released into our atmosphere.

Predicting Extreme Weather Events Three Weeks in Advance With FourCastNet

By running FourCastNet in NVIDIA Modulus, we were able to generate 21-day weather trajectories of 1,000 ensemble members in a tenth of the time it previously took to do a single ensemble—and with 1,000X less energy consumption.

Interactive Visualization of High-Resolution, Global-Scale Climate Data in the Cloud

Built on NVIDIA Omniverse and the OpenUSD 3D framework, the Earth-2 platform enables aggregation and visualization of diverse, global-scale climate simulation and geospatial datasets. Made possible with cloud-native technology, visualizations can be explored by anyone around the globe.

See Earth-2 in Action

Try a Reference Application of Earth-2’s Interactive Visualization on Omniverse Cloud

Interactively explore high-resolution weather and climate simulation datasets built on and streamed from NVIDIA Omniverse Cloud. See how high-resolution data for science and education can be accessed from all over the world, leading to new insights into an ever-changing world.