Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 28, 2026Journal of Marine Science and EngineeringOpen Access

A Study on Enhancing the Accuracy of Wave Prediction Models Through SWAN (Simulating WAves Nearshore) Model Sensitivity Experiments: Focusing on Wind Input and Whitecapping Dissipation

View Full Paper
Ask AI
Bookmark
Share

Authors

HEHo-Sik EumLSIS (South Korea)JPJong-Jip ParkLSIS (South Korea)

Discussion

Loading...

Member takes

Implication

Sensitivity experiments enhance wave prediction accuracy in coastal waters, indicating the importance of wind input and dissipation correction.

Key Points

  • The study aims to improve wave prediction accuracy by evaluating the sensitivity of the SWAN model to wind input and dissipation.
  • Evaluated SWAN model sensitivity around the Korean Peninsula using 2021 data from 138 observation stations.
  • Implemented Drag Coefficient Scaling Factor (CDFAC) with Komen and ST6 physics packages.
  • Conducted bathymetric stratified analysis for offshore and coastal regions
  • ST6 + CDFAC configuration reduced high-wave RMSE by approximately 32.7%, dropping from 0.52 m to 0.35 m.
  • Achieved a correlation of 0.94 and RMSE of 0.20 m in offshore and deep-water regions with ST6 scheme.
  • Topographical dissipation mechanisms moderated improvements in coastal areas with depth less than 50 m.

Cite This Study

Eum et al. (2026) studied this question.

synapsesocial.com/papers/69a287a00a974eb0d3c0369bhttps://doi.org/10.3390/jmse14050435
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Comparison of Wave Prediction and Performance Evaluation in Korea Waters based on Machine Learning2024 · 6 citations
  2. 2The NCEP Climate Forecast System Reanalysis2010 · 5,351 citations
  3. 3Quasi-linear Theory of Wind-Wave Generation Applied to Wave Forecasting1991 · 944 citations
  4. 4On the Existence of a Fully Developed Wind-Sea Spectrum1984 · 1,131 citations
  5. 5Data-driven models for significant wave height forecasting: Comparative analysis of machine learning techniques2024 · 30 citations