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Title
University of Manchester uses NVIDIA Earth-2 to forecast air pollution across the UK
University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK | NVIDIA Blog Skip to content University of Manchester Uses NVIDIA Earth-2 to F…
Description
Manchester physicists applied NVIDIA Earth-2 generative models (CorrDiff, later StormCast) to air quality forecasting. They generated training data from existing chemistry-climate simulations and trained CorrDiff on the Isambard-AI supercomputer using a year of hourly UK pollution data, producing a UK-wide model at 2-3 square km resolution. Training took two days on a single eight-GPU node, and the workflow also runs on an NVIDIA DGX Spark desktop system for inference and smaller training runs.
…NVIDIA GH200 Grace Hopper Superchips delivering 21 exaflops of AI performance — the process took just two days. “Earth-2 CorrDiff has shown an incredibly efficient use of the world-class NVI…
…al open data, enabling researchers to understand air pollution at street scale. The same generative pollution workflow also runs on the NVIDIA GB10 Grace Blackwell superchip-powered DGX Spark desktop AI system for inference and smaller training runs. Topping now has an DGX Spark system in his office retraining models. “You can n…
Company
University of Manchester
…rsity of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK Manchester physicists David Topping and Hao Zhang applied NVIDIA Earth-2 generative models to air quality forecasting — unlocking predictions fast enough to inform public…
Country
United Kingdom
…imulations, then trained Earth-2 CorrDiff — a generative downscaling model — on Isambard-AI, the U.K.’s national AI supercomputer in Bristol. The model worked on the first attempt. The team has since added Earth-2 StormC…
Industry
Education
…mits how detailed they can be and how regularly they can be run. David Topping, a professor in the University of Manchester’s department of Earth and environmental science, saw that the NVIDIA Earth-2 family of open AI models and tools had cracked a r…
Problem
Computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run.
…30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the University of Manchester’s department of Ear…
Solution
The team generated training data from existing chemistry-climate simulations, then trained NVIDIA Earth-2 CorrDiff, a generative downscaling model, on the Isambard-AI supercomputer, and has since added Earth-2 StormCast for time-dependent forecasts that use air quality observations.
…’s national AI supercomputer in Bristol. The model worked on the first attempt. The team has since added Earth-2 StormCast, a model that enables time-dependent forecasts that directly use air quality observations, and showed the test-training and inference workflows running on the NVIDIA DGX…
Business value
Training the UK-wide pollution model took two days on a single eight-GPU node, and the same workflow runs on an NVIDIA DGX Spark desktop system for inference and smaller training runs. Applications such as proactive air quality alerts for healthcare organisations are described as envisioned.
…ial application is proactive air quality insights for healthcare organizations. Topping envisions a scenario where regional and national healthcare services could reach out to patients with conditions like asthma to let them know that air pollution is going to be…
…NVIDIA GH200 Grace Hopper Superchips delivering 21 exaflops of AI performance — the process took just two days. “Earth-2 CorrDiff has shown an incredibly efficient use of the world-class NVI…
AI capabilities
Generative AI, Predictive Analytics
…t Air Pollution Across the UK Manchester physicists David Topping and Hao Zhang applied NVIDIA Earth-2 generative models to air quality forecasting — unlocking predictions fast enough to inform public health. September 15, 2026…
Technology
NVIDIA Earth-2
…t Air Pollution Across the UK Manchester physicists David Topping and Hao Zhang applied NVIDIA Earth-2 generative models to air quality forecasting — unlocking predictions fast enough to inform public…
Headline outcome
…NVIDIA GH200 Grace Hopper Superchips delivering 21 exaflops of AI performance — the process took just two days. “Earth-2 CorrDiff has shown an incredibly efficient use of the world-class NVI…
Use case type
Predictive operations
…t Air Pollution Across the UK Manchester physicists David Topping and Hao Zhang applied NVIDIA Earth-2 generative models to air quality forecasting — unlocking predictions fast enough to inform public health. September 15, 2026…
