Predictive models are powerful tools that use observations and data to forecast ocean and atmospheric conditions—from minutes to months in advance. In OceansMap, all available models are developed by U.S. government agencies or by MARACOOS partners in universities and the private sector, ensuring reliable, science-based predictions.
By integrating real-time data from MARACOOS-operated platforms and other regional partners, these models simulate the ocean and coastal environment to provide actionable forecasts. They help support planning, emergency preparedness, and coastal safety, giving communities and responders the information they need to make timely decisions.
In addition to regional forecasts, MARACOOS data feed federal repositories and communications networks, supporting broader modeling efforts that predict storm surge, flooding, the movement of algae, pollutants, and other critical ecosystem components. These predictive models transform ocean observations into insights that protect lives, guide resource management, and strengthen resilience across the Mid-Atlantic region.