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Wind-speed inversion from HF radar first-order backscatter signal

机译:HF雷达一阶反向散射信号的风速反演

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摘要

Land-based high-frequency (HF) radars have the unique capability of continuously monitoring ocean surface environments at ranges up to 200 km off the coast. They provide reliable data on ocean surface currents and under slightly stricter conditions can also give information on ocean waves. Although extraction of wind direction is possible, estimation of wind speed poses a challenge. Existing methods estimate wind speed indirectly from the radar derived ocean wave spectrum, which is estimated from the second-order sidebands of the radar Doppler spectrum. The latter is extracted at shorter ranges compared with the first-order signal, thus limiting the method to short distances. Given this limitation, we explore the possibility of deriving wind speed from radar first-order backscatter signal. Two new methods are developed and presented that explore the relationship between wind speed and wave generation at the Bragg frequency matching that of the radar. One of the methods utilizes the absolute energy level of the radar first-order peaks while the second method uses the directional spreading of the wind generated waves at the Bragg frequency. For both methods, artificial neural network analysis is performed to derive the interdependence of the relevant parameters with wind speed. The first method is suitable for application only at single locations where in situ data are available and the network has been trained for while the second method can also be used outside of the training location on any point within the radar coverage area. Both methods require two or more radar sites and information on the radio beam direction. The methods are verified with data collected in Fedje, Norway, and the Ligurian Sea, Italy using beam forming HF WEUen RAdar (WERA) systems operated at 27.68 and 12.5 MHz, respectively. The results show that application of either method requires wind speeds above a minimum value (lower limit). This limit is radar frequency dependent and is 2.5 and 4.0 m/s for 27.68 and 12.5 MHz, respectively. In addition, an upper limit is identified which is caused by wave energy saturation at the Bragg wave frequency. Estimation of this limit took place through an evaluation of a year long database of ocean spectra generated by a numerical model (third generation WAM). It was found to be at 9.0 and 11.0 m/s for 27.68 and 12.5 MHz, respectively. Above this saturation limit, conventional second-order methods have to be applied, which at this range of wind speed no longer suffer from low signal-to-noise ratios. For use in operational systems, a hybrid of first- and second-order methods is recommended.
机译:陆基高频(HF)雷达具有独特的功能,可以连续监测距海岸200公里以内的海面环境。它们提供了有关海面洋流的可靠数据,并且在稍微严格的条件下还可以提供有关海浪的信息。尽管可以提取风向,但是风速的估算还是一个挑战。现有方法是根据雷达衍生的海浪频谱间接估算风速的,而海浪频谱是根据雷达多普勒频谱的二阶边带估算的。与一阶信号相比,后者在较短的范围内提取,因此将方法限制为短距离。鉴于此限制,我们探索了从雷达一阶反向散射信号得出风速的可能性。开发并提出了两种新方法,以探索与雷达相匹配的布拉格频率下的风速与波浪产生之间的关系。一种方法是利用雷达一阶峰值的绝对能级,而第二种方法则利用风力在布拉格频率产生的波的定向传播。对于这两种方法,都进行了人工神经网络分析,以得出相关参数与风速的相互依赖性。第一种方法仅适用于可获取原位数据且已对其进行了训练的单个位置,而第二种方法也可以在雷达覆盖区域内任意点的训练位置之外使用。两种方法都需要两个或多个雷达站点以及有关无线电波束方向的信息。使用分别在27.68和12.5 MHz下运行的波束成形HF WEUen RAdar(WERA)系统,通过在挪威的Fedje和意大利的利古里亚海收集的数据对方法进行了验证。结果表明,这两种方法的应用都要求风速高于最小值(下限)。此限制取决于雷达频率,对于27.68和12.5 MHz,分别为2.5和4.0 m / s。另外,确定了由布拉格波频率处的波能量饱和引起的上限。通过对由数值模型(第三代WAM)生成的海洋光谱数据库进行为期一年的评估,可以估算出该限值。发现对于27.68和12.5 MHz分别为9.0和11.0 m / s。超过此饱和极限,必须使用常规的二阶方法,该方法在此风速范围内不再受低信噪比的困扰。为了在操作系统中使用,建议混合使用一阶和二阶方法。

著录项

  • 来源
    《Ocean Dynamics》 |2012年第1期|p.105-121|共17页
  • 作者单位

    Institute of Oceanography, University of Hamburg,Bundesstrasse 53, 20146, Hamburg, Germany;

    Institute of Oceanography, University of Hamburg,Bundesstrasse 53, 20146, Hamburg, Germany;

    Department of Earth and Ocean Sciences,University of South Carolina,Columbia, SC 29208, USA;

    Institute of Oceanography, University of Hamburg,Bundesstrasse 53, 20146, Hamburg, Germany;

    Institute of Oceanography, University of Hamburg,Bundesstrasse 53, 20146, Hamburg, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    coastal wind speed; hf radar; neural network; wave generation;

    机译:沿海风速高频雷达神经网络;波浪产生;

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