Abstract/Summary

Artificial intelligence (AI) and machine learning (ML) can make skillful weather modelling faster, cheaper and more accessible, enabling a paradigm shift in predicting extreme and hazardous weather events. Gaps in data availability, inadequate model resolution and concerns about ethics, such as insufficient transparency and unequal access, are challenges that limit the application of AI/ML for weather forecasting. Scientific advancements, capacity development and global collaboration can unlock the full potential of AI/ML in supporting climate change adaptation, disaster risk reduction and sustainable development while bridging global technological disparities.