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Numerical modeling of circulation in high-energy estuaries: A Columbia River estuary benchmark

机译:高能河口环流的数值模拟:哥伦比亚河口基准

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Numerical modeling of three-dimensional estuarine circulation is often challenging due to complex flow features and strong density gradients. In this paper the skill of a specific model is assessed against a highresolution data set, obtained in a river-dominated mesotidal estuary with autonomous underwater vehicles and a shipborne winched profiler. The measurements provide a detailed view of the salt wedge dynamics of the Columbia River estuary. Model skill is examined under contrasting forcing conditions, covering spring freshet and autumn low flow conditions, as well as spring and neap tides. The data set provides a rigorous benchmark for numerical circulation models. This benchmark is used herein to evaluate an unstructured grid circulation model, based on linear finite element and finite volume formulations. Advection of momentum is treated with an Eulerian-Lagrangian scheme. After the model's sensitivity to grid resolution and time step is examined, a detailed skill assessment is provided for the best model configuration. The simulations reproduce the timing and tidal asymmetry of salinity intrusion. Sharp density gradients, however, tend to be smoothed out affecting vertical mixing and gravitational circulation. We show that gravitational salt transport is underestimated in the model, but is partially compensated through tidal effects. The discrepancy becomes most pronounced when the stratification is strongest, i. e., under high river discharge and neap tide conditions. (C) 2015 The Authors. Published by Elsevier Ltd.
机译:由于复杂的流动特征和强的密度梯度,三维河口环流的数值模拟通常具有挑战性。在本文中,使用高分辨率数据集评估了特定模型的技能,该高分辨率数据集是在河流支配的中生河口中使用自主水下航行器和船载绞车轮廓仪获得的。这些测量提供了哥伦比亚河河口盐楔动力学的详细视图。在相反的强迫条件下检查了模型技巧,涵盖了春季新生和秋季低流量条件,以及春季和春季潮汐。该数据集为数值循环模型提供了严格的基准。此基准用于基于线性有限元和有限体积公式来评估非结构化网格环流模型。动量的对流采用欧拉-拉格朗日方案进行处理。在检查了模型对网格分辨率和时间步长的敏感性之后,将提供详细的技能评估,以获取最佳的模型配置。模拟重现了盐度入侵的时间和潮汐不对称性。但是,尖锐的密度梯度趋于平滑,从而影响垂直混合和重力循环。我们表明,重力盐分运输在模型中被低估了,但通过潮汐作用得到了部分补偿。当分层最强时,即,差异最大。例如,在高河流量和潮汐条件下。 (C)2015作者。由Elsevier Ltd.发布

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