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Toward Real-Time, Remote Observations of the Coastal Wind Resource Using High-Frequency Radar

机译:使用高频雷达实现沿海风资源的实时,远程观测

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There is now a large installed base of high-frequency (HF) coastal ocean radars in the United States able to measure surface currents on an operational basis. However, these instruments also have the potential to provide estimates of the spatially variable surface wind field over distances ranging from 10 to 200 km offshore. This study investigates the ability of direction-finding HF radars to recover spatial maps of wind speed and direction from the dominant first-order region radar returns using empirical models. Observations of radar backscatter from the Martha's Vineyard Coastal Observatory HF radar system were compared to wind observations from an offshore tower, finding significant correlations between wind speed and the backscatter power for a range of angles between the wind and radar loop directions. Models for the directional spreading of wind waves were analyzed in comparison to data-based results, finding potentially significant differences between the model and data-based spreading relationships. Using empirical fits, radar-based estimates of wind speed and direction at the location of the in situ wind sensor had error rates of 2 m/s and 60°, which decreased with hourly averaging. Attempts to extrapolate the results to the larger domain illustrated that spatially dependent transfer functions for wind speed and direction appear possible for large coastal ocean domains based on a small number of temporary, or potentially mobile, in situ wind sensors.
机译:现在,在美国,已安装了大型的高频(HF)沿海海洋雷达,可以在运行中测量地表电流。但是,这些仪器也有潜力提供海上10至200 km范围内空间变化的表面风场的估计值。这项研究调查了定向HF雷达使用经验模型从主要的一阶区域雷达回波中恢复风速和风向的空间图的能力。将来自玛莎葡萄园海岸天文台HF雷达系统的雷达后向散射观测结果与来自海上塔的风向观测结果进行了比较,发现风速和后向散射功率之间在风向与雷达环路方向之间的一定角度范围内具有显着的相关性。与基于数据的结果相比,分析了风波定向传播的模型,发现该模型与基于数据的传播关系之间存在潜在的显着差异。利用经验拟合,基于雷达的风速和风向在原位风传感器位置的估计误差率为2 m / s和60°,该误差率随每小时平均数而降低。尝试将结果外推到较大的域说明,基于风速和风向的空间相关传递函数对于基于少量临时或潜在移动的原位风传感器的大型沿海海洋域似乎是可能的。

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