Floating LIDAR systems (FLS) are a cost-effective way of surveying the wind energy potential of an offshore area. However, as turbulence intensity estimates are strongly affected by wave-induced buoy motion, it is essential to correct them. In this study, we quantify the turbulence intensity measurement error of a WindCube v2^® mounted on a 12-ton anchored buoy as a function of met-ocean conditions, and we construct a subsequently applied correction method suitable for 10-min wind LIDAR data storage. To this end, we build a model to simulate the effect of buoyancy movements on the LIDAR’s wind measurements. We first apply the model to understand the mechanisms responsible for the wind LIDAR measurement error. The effect of the buoy’s rotational and translational motions on the radial wind speed measurements of the individual beams is first studied. Second, the temporality induced by the LIDAR operation is taken into account; the effect of motion subsampling and the interaction between the different measurement beam positions. From this model, a correction method is developed and successfully applied to a 13-week experimental campaign conducted off the shores of Fécamp (Normandie, France) involving the buoy-mounted WindCube v2^® compared with cup anemometers from a met mast and a fixed WindCube v2^® on a platform. The correction improves the linear regression against the fixed LIDAR turbulence intensity measurements, shifting the offset from ~0.03 to ~0.005 without post-processing the remaining peaks.

中文翻译：

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浮动激光雷达系统波浪诱导湍流强度偏差的量化和校正

浮动激光雷达系统 (FLS) 是一种经济高效的海上风能潜力调查方式。然而，由于湍流强度估计受到波浪引起的浮标运动的强烈影响，因此必须对其进行校正。在本研究中，我们量化了 WindCube v2 ^®的湍流强度测量误差安装在 12 吨锚定浮标上，作为海洋气象条件的函数，我们构建了一种适用于 10 分钟风激光雷达数据存储的后续应用校正方法。为此，我们建立了一个模型来模拟浮力运动对 LIDAR 风测量的影响。我们首先应用该模型来了解导致风 LIDAR 测量误差的机制。首先研究了浮标的旋转和平移运动对单个梁的径向风速测量的影响。其次，考虑了激光雷达操作引起的时间性；运动二次采样的影响和不同测量光束位置之间的相互作用。从这个模型，^®与固定桅杆和平台上固定 WindCube v2 ^{® 的}杯式风速计进行了比较。校正改进了针对固定 LIDAR 湍流强度测量的线性回归，将偏移量从 ~0.03 移动到 ~0.005，无需对剩余峰值进行后处理。