As computational resources continue to grow in power and the sheer volume of scientific data expands exponentially, the application of artificial intelligence (AI) techniques, especially machine learning (ML) and deep learning (DL), is gaining momentum across various subfields of Earth and atmospheric sciences. AI leverages extensive datasets to offer innovative solutions that enhance our comprehension of complex Earth and atmospheric processes.

This session invites research studies that employ any AI/ML/DL methods, spanning from traditional regression approaches to cutting-edge machine-learning technologies, in various atmospheric, land, river, ocean, and Earth-system research and applications, including but not limited to remote sensing, weather/air quality/sea-level forecast, extreme events and natural hazards, super-resolution and downscaling, land use/land cover change, crop-yield prediction, water quality/coastal water monitoring, and Earth system modeling. By incorporating studies from diverse fields, the session will broaden our perspective on how AI advances our understanding of the Earth system.