A rip-current prediction/forecast model employing likelihoods of rip currents beforehand simulated by a phase-resolving wave-current model
This article addressed a new rip-current prediction model by introducing its implementation to produce a sequence of rip-current risk index. The present risk index was evaluated by using the distributions of rip-current likelihoods varied according to wave and tidal properties. The likelihoods were derived from hundreds of in-advance numerical simulations using the phase-resolving wave-current model, FUNWAVE. The numerical simulations of rip currents were conducted with various wave and tidal conditions based on possible ocean scenarios at a specific coast. The risk index can be computed by inputting ocean observations or forecasts into a function combining the distributions of rip-current likelihoods. The performance of the rip current risk index using real-time observations was checked with event snapshots of the video-monitoring records during the summer of 2021 at the Haeundae coast. As a result, it was inferred that the rip-current risk index could support appropriate and useful warning signs at most of the time when significant rip currents occurred. • A new rip current prediction model is introduced to generate a sequence of rip current risk indices. • Rip current likelihoods vary with wave and tidal conditions derived from prior FUNWAVE model simulations. • The risk index is computed by applying ocean observations or forecasts to the rip current likelihood distributions. • The rip current risk index supports appropriate warning signs in most cases when significant rip currents occur.
Authors
- Junwoo Choi (ORCID: https://orcid.org/0000-0001-9874-8575)
Institutions
- Korea Institute of Civil Engineering and Building Technology (KR)
Publication Details
- Journal
- Ocean Engineering
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1016/j.oceaneng.2025.121153
- Citations
- 1
- Primary Topic
- Coastal and Marine Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- Ministry of Oceans and Fisheries
- Korea Hydrographic and Oceanographic Agency