Boundary layer clouds strongly regulate Earth’s radiation, circulation, and the hydrological cycle, yet remain a leading source of uncertainty in predicting energy and water budgets. This session invites observational, theoretical, and modeling studies of boundary-layer clouds, including stratocumulus, cumulus, and other shallow clouds in liquid, ice, or mixed-phase forms, from microscale physical processes to global impacts. We particularly welcome work leveraging machine learning, hybrid physics-AI frameworks, emulators, causal inference, and foundation models to uncover cloud processes, identify cloud regimes, improve parameterizations, and accelerate science discovery. Studies linking boundary-layer clouds to dynamics, thermodynamics, aerosols, and coupling with land, ocean, and cryosphere are particularly encouraged. Studies addressing radiation, turbulence, precipitation, cloud feedback, and applications to prediction and Earth system modeling are also invited.

• GC - Global Environmental Change
• H - Hydrology
• NH - Natural Hazards
• OS - Ocean Sciences