Parameterization of nearshore wave breaker index
Chi Zhang, Yuan Li, Yu Cai, Jian Shi, Jinhai Zheng, Feng Cai,, Hongshuai Qi

TL;DR
This paper develops a new parameterization of the wave breaker index r based on field data, improving wave height prediction accuracy by 10-24% across various coastal conditions.
Contribution
It introduces a composite r formula considering both wave steepness and depth, with verified performance improvements over existing models.
Findings
New r formula reduces wave height prediction errors by up to 24%.
Higher accuracy achieved in conditions with small offshore wave steepness.
Physical mechanisms explaining r-kh relationships are proposed.
Abstract
The performances of phase-averaged parametric nearshore wave transformation models depend significantly on a reliable estimate of the wave breaker index r (the breaker height-to-depth ratio), a free model parameter that essentially controls the amount of breaking energy dissipation. While the previous studies have suggested separate relationships between r and the offshore wave steepness (s0) or the normalized local water depth (kh), the parameterization of r still requires further investigation considering a wider variety of conditions and a sounder physical basis. In this study, we use the field datasets of wave height and the inverse modelling approach to reveal a composite dependence of r on both s0 and kh. Specifically, the results show a positive dependence of r on kh for larger s0, and a negative dependence of r on kh for smaller s0. Based on such composite relationships, a new r…
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