Huawei’s #PanguWeather AI is now among China’s top-performing weather models—jumping from 7th in January to 2nd in recent national tests 🌦️ Powered by its Pangu-Weather system, Huawei is proving AI can rival traditional forecasting.
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Skill of data-driven 10-day weather forecasts for 2m temperature in conditions representing pre- industrial, present-day, and future +2.9K climate states, for AIFS, GraphCast, and Pangu-Weather. Root-mean square error (RMSE, in K) for all models, weighted by the cosine of latitude in a, 1955, a proxy-year for pre-industrial times, b, in 2023, representing present-day climate, and c, in 2049, the +2.9K warmer world. All RMSE evolutions in 1955, 2023, and 2049 are averaged over the daily forecasts.
3 AI-based models for weather forecasting ( #Panguweather, @deep-mind.bsky.social's #GraphCast
@stephanhoyer.com, @ecmwf.bsky.social's AIFS) produce skillful forecasts across different climate states, e.g. in proxy #preindustrial, present-day & future 2.9K warmer #climates.
RMSE for 2m temp: (2/7)
If I wanted to aquire some to #gpu #compute to try running either #GraphCast or #PanguWeather ML weather forecast models, how could I do that? This is a private project, so it can't cost a lot.