Research
Our Mission
To advance the understanding of coastal processes, particularly under the impacts of climate change, and develop cutting-edge, AI-enhanced deterministic and probabilistic tools to assess and mitigate risks from nature hazards in coastal communities
Current Projects
Regional Climate Model for Air-Sea Interaction
Developing a regional coupled atmosphere-ocean model for high-resolution physical process studies of the air-sea interface
Sponsor: NOAA
Past Projects
Machine Learning Parameterizations in Ocean Circulation Model
Developing and Implement the machine-learned parameterizations of various processes in MOM6, and to evaluate those implementations in the context of GFDL’s OM4 and CM4.
Sponsor: Schmidt Sciences & NOAA
Bathymetry Inversion By Data-Driven Method
Utilizing a data assimilative system consisting of ROMS and remote sensing and in-situ data to estimate ocean state at James River, VA.
Sponsor: ONR
Two-Layer non-hydrostatic model Landslide Tsunamis
Developing a two-layer coupled model for water column and landslide motion to invest submarine landslides and resulting tsunami generation over irregular bathymetry