Synthetic data for shoaling monochromatic waves over various bottom profiles
Published: 12 February 2024| Version 1 | DOI: 10.17632/h8b3427s8k.1
Contributors:
BYUNGUK KIM, Description
This dataset serves as the foundation for the research titled "Determining Optimal Window Size and Correcting for Wave Nonlinearity in Depth Inversion Algorithms." It comprises synthetic simulations of monochromatic wave shoaling over various bottom profiles, all conducted using FUNWAVE-TVD. This data collection is crucial for investigating the parameters of depth inversion algorithms, with a specific emphasis on identifying the optimal interrogation window size and addressing the nonlinear behavior of waves.
Files
Institutions
Seoul National University
Categories
Computational Fluid Dynamics, Computer Simulation