In the framework of swimmer safety, coastal managers desire accurate nearshore current predictions obtained from numerical models. To this end, detailed and up-to-date bathymetry is a necessity. Remote sensing techniques for bathymetry estimation are a promising solution. The focus of this paper is to assess the performance of wavenumberbased bathymetric inversion using Argus imagery (also known as the cBathy algorithm) as a feasible input bathymetry for numerical models to make reasonable nearshore current predictions. Numerical flow simulations on a cBathy bed are compared to simulations on an in-situ surveyed bathymetry. Results demonstrate that simulated nearshore currents on a cBathy bathymetry have a root-mean-square error in the order of 10 cm/s (magnitude) and 40 degrees (direction) when compared to simulated currents on a surveyed bathymetry. In the intertidal zone cBathy should be combined with a different method for bathymetry estimation in order to decrease these errors.
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机译：在游泳者安全的框架内，沿海管理者希望从数值模型中获得准确的近岸海流预测。为此，详细而最新的测深法是必要的。用于测深估算的遥感技术是一种很有前途的解决方案。本文的重点是使用Argus影像（也称为cBathy算法）作为数值模型的可行输入测深法，以评估基于波数的测深反演的性能，以做出合理的近岸海流预测。将cBathy床的数值流模拟与原位测深法的模拟进行了比较。结果表明，与测量的测深法上的模拟电流相比，cBathy测深仪上的模拟近岸电流具有10 cm / s（量级）和40度（方向）量级的均方根误差。在潮间带，cBathy应该与不同的测深法结合使用，以减少这些误差。
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