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首页> 外文期刊>Journal of marine systems: journal of the European Association of Marine Sciences and Techniques >Turbulence and mixing by internal waves in the Celtic Sea determined from ocean glider microstructure measurements
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Turbulence and mixing by internal waves in the Celtic Sea determined from ocean glider microstructure measurements

机译:由海洋滑翔机微观结构测量确定的凯尔特海内部波的湍流和混合

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We present a new series of data from a 9-day deployment of an ocean microstructure glider (OMG) in the Celtic Sea during the summer of 2012. The OMG has been specially adapted to measure shear microstructure and coincident density structure from which we derive the dissipation rate of turbulent kinetic energy (epsilon) and diapycnal diffusion rates (K). The methods employed to provide trustworthy turbulent parameters are described and data from 766 profiles of epsilon, temperature, salinity and density structure are presented. Surface and bottom boundary layers are intuitively controlled by wind and tidal forcing. Interior dynamics is dominated by a highly variable internal wave-field with peak vertical displacements in excess of 50 m, equivalent to over a third of the water depth. Following a relatively quiescent period internal wave energy, represented by the available potential energy (APE), increases dramatically close to the spring tide flow. Rather than follow the assumed spring-neap cycle however, APE is divided into two distinct peak periods lasting only one or two days. Pycnocline epsilon also increases close to the spring tide period and similar to APE, is distinguishable as two distinct energetic periods, however the timing of these periods is not consistent with APE. Pycnocline mixing associated with the observed is shown to be responsible for the majority of the observed reduction in bottom boundary layer density suggesting that diapycnal exchange is a key mechanism in controlling or limiting exchange between the continental shelf and the deep ocean. Results confirm pycnocline turbulence to be highly variable and difficult to predict however a log-normal distribution does suggest that natural variability could be reproduced if the mean state can be accurately simulated. (C) 2014 The Authors. Published by Elsevier B.V.
机译:我们提供了一系列新数据,这些数据来自2012年夏季在凯尔特海进行的为期9天的海洋微结构滑翔机(OMG)部署。OMG特别适用于测量剪切微结构和重合密度结构,由此得出湍动能的耗散率(ε)和对流扩散速率(K)。描述了用来提供可信赖的湍流参数的方法,并给出了766个ε,温度,盐度和密度结构分布图的数据。表面和底部边界层由风和潮汐强迫直观地控制。内部动力学主要由高度变化的内部波场主导,其峰值垂直位移超过50 m,相当于水深的三分之一以上。在相对静止的时期之后,由可用势能(APE)表示的内部波能在接近潮汐流附近急剧增加。但是,APE并未遵循假定的春季-春季周期,而是分为两个仅持续一两天的不同高峰期。碧萝oc epsilon也在春季潮期附近增加,类似于APE,可区分为两个不同的高能期,但是这些时期的时机与APE不一致。已显示与观测到的碧萝星混合是所观测到的大部分底边界层密度降低的原因,这表明二叠系交换是控制或限制大陆架与深海之间交换的关键机制。结果证实了比高环流是高度可变的并且难以预测,但是对数正态分布确实表明,如果可以准确模拟平均状态,则可以再现自然的可变性。 (C)2014作者。由Elsevier B.V.发布

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