首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >An extended velocity projection method for estimating the subsurface current and density structure for coastal plume regions: An application to the Chesapeake Bay outflow plume
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An extended velocity projection method for estimating the subsurface current and density structure for coastal plume regions: An application to the Chesapeake Bay outflow plume

机译:一种扩展的速度投影方法,用于估算沿海羽流区域的地下电流和密度结构:在切萨皮克湾流出羽流中的应用

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摘要

We describe a method for estimating subsurface current and density structure in a coastal region dominated by a plume from a set of surface observations of velocity and density. A detailed application of the method is shown via a case study of the Chesapeake Bay in November 1997. The proposed technique relies on developing a 'plume feature model' from theoretical models and past synoptic observational data sets, and incorporating the feature model into the previously developed velocity projection method [J. Geophys. Res. 106 (2001) 6973] to obtain subsurface current structure within the Ekman layer depth. The primary feature model parameters include the location and extent of the frontal boundary, a simplified gravity current structure, and the spatial gradient of salinity across the frontal head of the plume. which are inferred from remote sensing or miminal strategic in situ observations.For the Chesapeake Bay case study, we show how the proposed method, referred to as 'extended velocity projection', can produce estimates of plume current structure consistent with available ADCP profiles. We assess the sensitivity of the results to feature model parameters, and identify the resolution of spatial salinity gradient as being particularly important. The difference between the density-stratified estimate and the ADCP data can be used to calibrate and improve the zero-order dynamic feature model parameters. This synergistic approach with the extended velocity projection method should be applicable to other coastal plumes and possibly other shallow water features. Published by Elsevier Ltd.
机译:我们描述了一种估计速度的方法,该方法是从一组速度和密度的表面观测值中估计出以羽为主的沿海地区的地下电流和密度结构。该方法的详细应用通过1997年11月在切萨皮克湾的案例研究中得到了展示。所提出的技术依赖于从理论模型和过去的天气观测数据集中开发一个“羽状特征模型”,并将该特征模型合并到以前的模型中发达的速度投影法[J.地理学。 Res。 106(2001)6973]以获得Ekman层深度内的地下电流结构。主要特征模型参数包括额叶边界的位置和范围,简化的重力流结构以及羽状叶额头上盐度的空间梯度。对于切萨皮克湾案例研究,我们展示了所提出的方法(称为``扩展速度投影'')如何产生与可用ADCP轮廓一致的羽流结构估计。我们评估结果对特征模型参数的敏感性,并确定空间盐度梯度的分辨率特别重要。密度分层估计值与ADCP数据之间的差异可用于校准和改进零阶动态特征模型参数。这种与扩展速度投影方法的协同方法应适用于其他沿海羽状流和可能的其他浅水特征。由Elsevier Ltd.发布

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