浮子阵列在WA玛瑙关潮汐测量的实验验证

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
T. Harrison, Nate Clemett, B. Polagye, J. Thomson
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引用次数: 0

摘要

潮流,特别是狭窄通道中的潮流,由于高流速(>1 m s−1)、强空间梯度和相对较短的天气窗口,很难表征。为了评估华盛顿州阿加特山口的潮流,我们交叉评估了声学跟踪水下漂浮物阵列和声学多普勒海流剖面仪(ADCP)在保持和漂移模式下的数据产品。虽然水下漂浮物越来越多地用于盆地规模的科学,但在沿海环境中的使用有限。这项研究首次将浮子阵列应用于高能潮汐通道中平均电流的小规模(<1公里)、高分辨率(<5米)测量,并使用了一种新的原型浮子µfloat,该浮子专为在动态沿海水域中采样而设计。我们表明,浮子阵列(20个浮子)可以提供与ADCP质量相似的数据,除低流量(0.1 m s−1)期间外,水平速度的测量值相差不到标称速度的10%。此外,浮子提供了三维温度场的测量结果,证明了它们同时解决无法远程观测的原位特性的独特能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Validation of Float Array Tidal Current Measurements in Agate Pass, WA
Tidal currents, particularly in narrow channels, can be challenging to characterize due to high current speeds (> 1 m s−1), strong spatial gradients, and relatively short synoptic windows. To assess tidal currents in Agate Pass, WA, we cross-evaluated data products from an array of acoustically-tracked underwater floats and from acoustic Doppler current profilers (ADCPs) in both station-keeping and drifting modes. While increasingly used in basin-scale science, underwater floats have seen limited use in coastal environments. This study presents the first application of a float array towards small-scale (< 1 km), high resolution (< 5 m) measurements of mean currents in energetic tidal channel and utilizes a new prototype float, the µFloat, designed specifically for sampling in dynamic coastal waters. We show that a float array (20 floats) can provide data with similar quality to ADCPs, with measurements of horizontal velocity differing by less than 10% of nominal velocity, except during periods of low flow (0.1 m s−1). Additionally, floats provided measurements of the three dimensional temperature field, demonstrating their unique ability to simultaneously resolve in situ properties that cannot be remotely observed.
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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