Within a restricted estuarine environment, the use of third-generation wave models for predicting wave heights can be computationally expensive, signaling a need for model development that reduces the computational costs of existing coupled hydrodynamic models. This study focuses on the development and testing of a parametric wave solver that incorporates four wave height formulations (SMB, SPM, TMA, and CEM) for predicting wave properties in a restricted estuarine environment. The emphasis is on improved efficiency without affecting accuracy, allowing for ensemble wave-surge forecasting to be performed on desktop computational resources. Evaluation of the performance of the parametric solver is twofold, first the parametric solver is compared to a third-generation wave model, Simulating Waves Nearshore (SWAN), for the Indian River Lagoon domain, which lies on Florida's east coast. Then both the parametric solver and SWAN are compared to in-situ ADCP wave data at a point in the estuarine domain. The creation of three different synthetic wind fields allows for model comparison, with wind fields permitting testing of the parametric model in order to reproduce (1) fully developed conditions, (2) wind speed variability, and (3) wind direction variability in tropical storm level wind events. For consistency comparison, wave height solutions over the same domain are generated by SWAN and the parametric models. Comparisons made between the parametric model performance and SWAN show a 4-member parametric model is accurate to within 87% globally, with a runtime improvement of over two orders of magnitude compared to SWAN. The parametric model's ensemble average wave height solution was 5.5% less than the in-situ measured wave height; the SWAN solution was 5.5% greater than the measured wave height at the same location. Therefore, the parametric wave model proves to be a viable alternative to running an expensive third-generation wave model for predicting waves in an enclosed estuarine system.

在受限制的河口环境中，使用第三代波浪模型来预测波浪高度可能在计算上昂贵，这表明需要开发模型以降低现有耦合流体动力学模型的计算成本。这项研究专注于参数波浪求解器的开发和测试，该参数波浪求解器结合了四种波高公式（SMB，SPM，TMA和CEM），用于预测在受限河口环境中的波浪特性。重点是在不影响精度的情况下提高效率，从而允许在桌面计算资源上执行整体波涌预测。对参数解算器性能的评估是双重的，首先将参数解算器与第三代波浪模型（印度洋泻湖域的模拟波浪近岸（SWAN））进行比较，位于佛罗里达州的东海岸。然后将参数求解器和SWAN进行比较在河口域中某个点的原位ADCP波数据。创建三个不同的合成风场可以进行模型比较，其中风场允许测试参数模型，以便在热带风暴中重现（​​1）充分发展的条件，（2）风速可变性和（3）风向可变性水平风事件。为了进行一致性比较，SWAN和参数模型会生成同一域的波高解。在参数模型性能和SWAN之间进行的比较显示，四成员参数模型在全球范围内的准确度在87％以内，与SWAN相比，运行时间改进了两个数量级。参数模型的整体平均波高解比原位小5.5％测量的波高；SWAN解决方案比在同一位置测得的波高高5.5％。因此，参数波模型被证明是运行昂贵的第三代波模型以预测封闭河口系统中波的一种可行的替代方法。