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On January 17-18, 2024, John Warner provided a two-day training for the COAWST (Coupled Ocean-Atmosphere-Waves-Sediment Transport) modeling system in St. Petersburg, Florida. During this training, USGS scientists learned how to apply the modeling system to study impacts from coastal storms. 

The Training 

A test case based on Hurricane Ian (2022) was created to simulate a coupled ocean-wave application for the Gulf of Mexico and a nested grid of Tampa Bay. Output from those simulations were used to drive a more refined nearshore simulation using the InWave infragravity wave model. Attendees were provided a code, tools, examples, and hands-on training to use the modeling system for this test case, as well as their own research applications. A big thanks to the USGS Advanced Research Computing group that provided access to the Denali supercomputer used by participants. 


More About COAWST 

COAWST is an open-source tool that combines multiple models to investigate the significant physical processes affecting our coastlines and to identify how these processes—such as waves, wind, tides, and storms—lead to coastal change. Specifically, it combines an ocean model, an atmosphere model, a wave model, and a sediment transport model. This sophisticated software is the engine behind the COAWST forecast model, which covers the east coast and Gulf of Mexico and is available for download. It has output data every hour since 2010 and provides forecasts for short-term changes in coastal conditions. 


Learn more on the COAWST web page and explore the forecast model in an interactive geonarrative.  

group of people smiling for group photo in building with USGS on the wall

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