AINeutralarXiv – CS AI · 14h ago6/10
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Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
Researchers demonstrate that ArchesWeather and ArchesWeatherGen, machine learning models originally designed for weather forecasting, can be successfully adapted for multi-decadal climate simulations by conditioning on sea surface temperature and sea ice data. The models produce stable long-term climate outputs that faithfully reproduce observational climatology and large-scale atmospheric patterns, suggesting ML-based weather models may have untapped potential for climate modeling applications.