Researchers have “Developed data-driven models to estimate wave parameters and spectra near the” Chesapeake Bay Bridge Tunnel. “To estimate wave parameters and energy spectra near the CBBT, novel composite data-driven models were developed using the wind, water level, and offshore wave data” were used in “deep neural networks” to model a complex wave environment with relatively low computational resources.

Read “Data-driven modeling of Bay-Ocean wave spectra at bridge-tunnel crossing of Chesapeake Bay, USA” and see the full list of authors in Applied Ocean Research.