Coastal zones are unique and dynamic environments. The communities and natural ecosystems along our coasts are under continuous threat from numerous hazards, such as coastal flooding, high tides, strong waves, high winds, heavy precipitation, erosion, and more, often occurring simultaneously and across multiple timescales.  The complex dynamics and interactions among atmospheric, oceanic, and land processes lead to sharp gradients in environmental conditions and can make predictions extremely difficult. Yet, timely and accurate predictions of environmental conditions are essential in emergency management preparedness and climate planning activities.  This session invites submissions on the development and/or application of coastal predictions at either weather (up to approximately 10 days) or climate (weeks to decades) time scales, with a particular emphasis on subseasonal to seasonal (S2S) or seasonal to annual (S2A) time scales. Submissions may be based on observations (field-based, airborne/satellite remote sensing) or modeling (numerical, statistical, AI/ML) that examine coastal processes and their interactions to aid in the prediction of the magnitude or frequency of coastal hazards.  Topics are also welcome that include downscaling techniques, compound and extreme events, case studies, model coupling, skill assessments, and more.