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Lagrangian water mass tracing from pseudo-Argo, model-derived salinity, tracer and velocity data: An application to Antarctic Intermediate Water in the South Atlantic Ocean

机译:从伪Argo,模型得出的盐度,示踪剂和速度数据进行的拉格朗日水质量追踪:在南大西洋的南极中间水中的应用

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摘要

We use the tracer and velocity fields of a climatological ocean model to investigate the ability of Argo-like data to estimate accurately water mass movements and transformations, in the style of analyses commonly applied to the output of ocean general circulation model. To this end, we introduce an algorithm for the reconstruction of a fully non-divergent three-dimensional velocity field from the simple knowledge of the model vertical density profiles and 1000-m horizontal velocity components. The validation of the technique consists in comparing the resulting pathways for Antarctic Intermediate Water in the South Atlantic Ocean to equivalent reference results based on the full model information available for velocity and tracers. We show that the inclusion of a wind-induced Ekman pumping and of a well-thought-out expression for vertical velocity at the level of the intermediate waters is essential for the reliable reproduction of quantitative Lagrangian analyses. Neglecting the seasonal variability of the velocity and tracer fields is not a significant source of errors, at least well below the permanent thermocline. These results give us confidence in the success of the adaptation of the algorithm to true gridded Argo data for investigating the dynamics of flows in the ocean interior. (C) 2014 Elsevier Ltd. All rights reserved.
机译:我们使用气候海洋模型的示踪剂和速度场来研究类似Argo数据的能力,以通常应用于海洋总环流模型输出的分析方式来准确估计水团的运动和转换。为此,我们从模型垂直密度分布图和1000-m水平速度分量的简单知识中介绍了一种用于重建完全无散度的三维速度场的算法。该技术的验证在于,根据可用于速度和示踪剂的完整模型信息,将南大西洋中南极中间水的最终路径与等效参考结果进行比较。我们表明,在中间水域水平上包括风致埃克曼泵浦和垂直速度的深思熟虑的表达对于定量拉格朗日分析的可靠再现至关重要。忽略速度场和示踪剂场的季节性变化并不是重要的误差源,至少远低于永久性高温跃层以下。这些结果使我们对算法成功应用于真实网格Argo数据以调查海洋内部流动的动态充满信心。 (C)2014 Elsevier Ltd.保留所有权利。

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