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University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK
The University of Manchester has developed a UK-wide air pollution forecasting model using NVIDIA Earth-2 AI frameworks and the Isambard-AI supercomputer.
Why it matters
This technology could enable healthcare providers to warn patients with asthma about pollution spikes and allow governments to simulate the effects of policy changes.
The big picture
This confirms the University of Manchester's use of NVIDIA Earth-2 for environmental forecasting.
The details
The team used a year of hourly simulated UK pollution data for training. Isambard-AI utilizes 5,448 NVIDIA GH200 Grace Hopper Superchips. The workflow incorporates the Earth-2 CorrDiff downscaling model and the Earth-2 StormCast model. The DGX Spark desktop system uses the NVIDIA GB10 Grace Blackwell superchip.
What's next
The team plans to release open-source workflows and increase model resolution to street scale.
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University of Manchester uses NVIDIA Earth-2
University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK
David Topping works at University of Manchester
David Topping, a professor in the University of Manchester’s department of Earth and environmental science
Earth-2 CorrDiff is related to Generative downscaling
trained Earth-2 CorrDiff — a generative downscaling model
Niall Robinson works at NVIDIA
Niall Robinson, developer relations manager for weather and climate at NVIDIA
Hao Zhang works at University of Manchester
Hao Zhang, a doctoral student at the University of Manchester
Simon McIntosh-Smith leads Bristol Centre for Supercomputing (BriCS)
Simon McIntosh-Smith, director of the Bristol Centre for Supercomputing
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NVIDIA DGX Spark is built with NVIDIA GB10 Grace Blackwell
runs on the NVIDIA GB10 Grace Blackwell superchip-powered DGX Spark desktop AI system
NVIDIA Earth-2 is related to Generative AI
Isambard-AI is related to Supercomputing
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