Saildrone direct covariance wind stress in various wind and current regimes of the tropical Pacific

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN Journal of Atmospheric and Oceanic Technology Pub Date : 2023-02-27 DOI:10.1175/jtech-d-22-0077.1
J. R. Reeves Eyre, M. Cronin, Dongxiao Zhang, E. Thompson, C. Fairall, J. Edson
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引用次数: 1

Abstract

High frequency wind measurements from Saildrone autonomous surface vehicles are used to calculate wind stress in the tropical East Pacific. Comparison between direct covariance (DC) and bulk wind stress estimates demonstrates very good agreement. Building on previouswork that showed the bulk input data was reliable, our results lend credibility to the DC estimates. Wind flow distortion by Saildrones is comparable to or smaller than other platforms. Motion correction results in realistic wind spectra, albeit with signatures of swell-coherent wind fluctuations that may be unrealistically strong. Fractional differences between DC and bulk wind stress magnitude are largest at wind speeds below 4 m s−1. The size of this effect, however, depends on choice of stress direction assumptions. Past work has shown the importance of using current-relative (instead of Earth-relative) winds to achieve accurate wind stress magnitude. We show that it is also important for wind stress direction.
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热带太平洋不同风况和海流条件下的Saildone直接协方差风应力
Saildone自主水面飞行器的高频风测量用于计算热带东太平洋的风应力。直接协方差(DC)和整体风应力估计之间的比较表明了非常好的一致性。基于先前的工作表明大量输入数据是可靠的,我们的结果为DC估计提供了可信度。赛欧无人机的气流畸变与其他平台相当或更小。运动校正产生了真实的风谱,尽管具有可能不切实际的强烈涌浪相干风波动的特征。在风速低于4 m s−1时,直流风应力和整体风应力之间的分数差异最大。然而,这种影响的大小取决于应力方向假设的选择。过去的工作表明,使用当前相对风(而不是地球相对风)来获得准确的风应力大小非常重要。我们表明,它对风应力方向也很重要。
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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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