A project based at FAU will use high-resolution modeling, machine learning, and community engagement to produce highly local sea-level projections, deploy water sensors, and develop an AI platform that equips communities on Florida’s Gulf Coast with tools needed to plan for flooding related to sea-level rise and enhance long-term resilience.
Vertical land motion data will be incorporated to generate precise, location-specific forecasts, while a graph-based probabilistic machine learning framework will analyze predictors such as ocean heat content, atmospheric indices, and dynamic sea-level trends to forecast extreme sea-level events and regional variability. “Our ultimate goal is to empower stakeholders with the data and insights they need to make informed, future-oriented decisions in the face of rising seas,” says Laurent Cherubin.
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