麻豆蜜桃AV

Yonggang Liu

Yonggang Liu
Associate Professor
Physical Oceanography
PhD, 麻豆蜜桃AV
Postdoc, University of Washington
Office Phone: 727-553-3508
Email: yliu@usf.edu
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Research: ocean circulation; coastal ocean observing; numerical modeling; Karenia brevis red tide; storm surge; coastal inundation; water quality monitoring; Sargassum tracking; pollutant plume forecast; Deepwater Horizon oil spill; Loop Current

Dr. Yonggang Liu is the Director of the at 麻豆蜜桃AV College of Marine Science. As a physical oceanographer, he aims to better understand the coastal ocean circulation and air-sea interactions on the West Florida Shelf, including the exchanges of water properties between the estuaries, the shelf, and the offshore (Loop Current) system of the Gulf of America (Gulf of Mexico).  He is interested in applying the scientific research to marine environmental issues of societal importance, such as Karenia brevis red tide tracking and seasonal prediction, hurricane rapid intensification, storm surge and coastal inundation forecasts, Sargassum tracking, wastewater plume modeling, and oil spill tracking.

His research team maintains a coordinated coastal ocean observing and modeling program focusing on the West Florida Shelf and the estuaries. The observing component include (1) the (COMPS), an array of moorings measuring real-time current velocity, temperature, salinity and meteorological data on the shelf, (2) the (TBON), real-time water quality monitoring stations, and (3) the COMPS shore-based on the west Florida coast overlooking the moorings and along the Florida Keys measuring surface currents in the Straits of Florida.

The modeling component consists of three high-resolution unstructured grid numerical models, the (WFCOM), the (TBCOM), and the East Florida Shelf Coastal Ocean Model (EFCOM, in development), all set to be automated nowcast/forecast systems, providing realistic forecast of three-dimensional ocean circulation. These modeling systems are used to forecast (storm surge) along the entire Florida coast and the northeastern Gulf, to and Sargassum. A coupled physical-biological model of red tide is also developed.

Dr. Liu is interested in applying advanced data analysis methods in meteorology and oceanography. He proposed the and the for trajectory model evaluation.  Dr. Liu is also a pioneer of machine learning application in physical oceanography.  He introduced the (SOM), an unsupervised neural network, to the physical oceanography community in 2005. He then proposed the application in 2016.

Dr. Liu currently serves as an Associate Editor for AMS Journal Artificial Intelligence for the Earth Systems, and a Guest Editor for Ocean Science.  He is on the Science Committee of the Southeast Coastal Ocean Observing Regional Association (SECOORA).