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University of Manchester Uses Earth-2 for UK Air-Pollution Forecasts

University of Manchester researchers used NVIDIA Earth-2 generative models to build a UK-wide air-pollution forecasting workflow at 2–3 kilometre resolution. The training process took two days on an eight-GPU node at Isambard-AI, while smaller training runs and inference now run on NVIDIA’s DGX Spark desktop system.

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NASA Sensors Track PM2.5 and Black Carbon in Addis Ababa

A NASA-funded network of 10 ground sensors measured PM2.5 and black carbon across Addis Ababa from 2022 to 2025. The data show pollution patterns linked to traffic, fuel burning and holiday bonfires, creating a baseline for future satellite observations.