LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework
LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework
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DOI：
10.5194/amt-14-2065-2021
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发表时间：
2021-03
影响因子：
3.8
通讯作者：
S. Letizia;L. Zhan;G. Iungo
中科院分区：
文献类型：
--
作者：
S. Letizia;L. Zhan;G. Iungo
抽象的。提出了一种用于激光雷达扫描优化设计和速度统计矩反演的统计巴恩斯客观分析方法。LiSBOA代表了经典巴恩斯方案在N维空间中的非结构化实验数据的统计分析的适应，并且它是一种合适的技术，用于评估通过扫描激光雷达采样的标量场的统计的结构化笛卡尔网格。LiSBOA的验证和特点通过蒙特卡罗方法应用于合成速度场。这种重新审视的理论框架的巴恩斯客观分析，使制定的激光雷达实验的最佳设计和有效的应用LiSBOA激光雷达测量的后处理的指导方针。激光雷达扫描的优化设计被配制成一个两个成本函数的优化问题，包括最小化的测量体积的百分比没有足够的空间分辨率和采样的速度场的平均值的误差最小化。激光雷达扫描的最佳设计还指导平滑参数的选择和用于巴恩斯方案的迭代总数。LiSBOA是评估对使用虚拟激光雷达技术从大涡模拟（LES）获得的数据产生的数值数据集。利用LiSBOA反演了扫描多普勒脉冲测风激光雷达的最佳采样参数，并将其与LES原始数据进行了比较，结果表明，平均风速和湍流强度的最大误差均在4%左右。
Abstract. A LiDAR Statistical Barnes Objective Analysis (LiSBOA) for the optimal design of lidar scans and retrieval of the velocity statistical moments is proposed. LiSBOA represents an adaptation of the classical Barnes scheme for the statistical analysis of unstructured experimental data in N -dimensional space, and it is a suitable technique for the evaluation over a structured Cartesian grid of the statistics of scalar fields sampled through scanning lidars. LiSBOA is validated and characterized via a Monte Carlo approach applied to a synthetic velocity field. This revisited theoretical framework for the Barnes objective analysis enables the formulation of guidelines for the optimal design of lidar experiments and efficient application of LiSBOA for the postprocessing of lidar measurements. The optimal design of lidar scans is formulated as a two-cost-function optimization problem, including the minimization of the percentage of the measurement volume not sampled with adequate spatial resolution and the minimization of the error on the mean of the velocity field. The optimal design of the lidar scans also guides the selection of the smoothing parameter and the total number of iterations to use for the Barnes scheme. LiSBOA is assessed against a numerical data set generated using the virtual lidar technique applied to the data obtained from a large eddy simulation (LES). The optimal sampling parameters for a scanning Doppler pulsed wind lidar are retrieved through LiSBOA, and then the estimated statistics are compared with those of the original LES data set, showing a maximum error of about 4 % for both mean velocity and turbulence intensity.