首页> 外文期刊>Marine Technology Society journal >Autonomous Ocean Turbulence Measurements From a Moored Upwardly Rising Profiler Based on a Buoyancy-Driven Mechanism
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Autonomous Ocean Turbulence Measurements From a Moored Upwardly Rising Profiler Based on a Buoyancy-Driven Mechanism

机译:基于浮力驱动机制的系泊向上上升的廓线仪的自主海洋湍流测量

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摘要

An autonomous Moored Reciprocating Vertical Profiler (MRVP) has been developed and tested for measuring ocean turbulence. The MRVP is designed to combine the advantages of long-term moored measurements at specified depths with those of short-term ship-supported continuous profiling performed at high vertical resolution. The profiler is programmed to repeat vertical motions autonomously along the mooring cable based on a buoyancy-driven mechanism. A sea trial has been conducted in the South China Sea to evaluate the performance of the profiler. The shear probe data are unreliable when the flow past sensors is not sufficiently greater than an estimate of turbulent velocity. For 65% of the dataset, turbulence measurements are of high quality and the magnitude of dissipation rates is up to 0(10(-10)) W kg(-1). To minimize the contamination induced by instrument vibration and improve the estimation of turbulent kinetic energy terms, an advanced cross-spectrum algorithm is implemented to the measured shear data. The corrected spectra agreed well with the empirical Nasmyth spectrum, and dissipation rates had averagely decreased a factor of 2 and 8 times lower than the raw spectra. The autonomous MRVP is proven to be a stable platform, and the novel upward measurement provides a new perspective for measuring long-term time series of turbulence mixing.
机译:已经开发了自主式系泊往复式垂直剖面仪(MRVP)并进行了测试,以测量海洋湍流。 MRVP旨在将在特定深度进行的长期系泊测量的优势与在高垂直分辨率下进行的短期船载连续剖析的优势相结合。剖析器被编程为基于浮力驱动机制,沿着锚缆自主地重复垂直运动。已经在南中国海进行了海上试验,以评估探查器的性能。当经过传感器的流量不足够大于湍流速度的估计值时,剪切探针数据将不可靠。对于65%的数据集,湍流测量的质量很高,耗散率的幅度最高为0(10(-10))W kg(-1)。为了最大程度地减少仪器振动引起的污染并改善对湍动能项的估计,对测量的剪切数据实施了先进的交叉谱算法。校正后的光谱与经验的纳斯密斯光谱非常吻合,耗散率平均降低了原始光谱2倍和8倍。自主MRVP被证明是一个稳定的平台,新颖的向上测量为测量湍流混合的长期时间序列提供了新的视角。

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