Doppler Lidar virtual tower horizontal wind speed, wind direction, TKE, and gust data measured between 01 June and 14 September 2020 in Falkenberg (Tauche), Germany

The data presented here was collected between 01 June and 14 September 2020 in Falkenberg (Tauche), Germany, during the FESST@MOL (Field Experiment on sub-mesoscale spatio-temporal variability at the Meteorological Observatory Lindenberg) 2020 campaign, which was initiated by the Hans-Ertel-Center for Weather Research. The measurements took place at the boundary layer field site (GM) Falkenberg, Germany. The data collected in this campaign were measured by three Doppler Lidars (DL) set-up as a virtual tower (VT) testing five different VT scanning methods, operated by the Karlsruhe Institute of Technology. We tested different step/stare and range-height-indicator (RHI) scanning methods. NetCDF_to_VirtualTower.R in Version 2 contains the R code used to read in the Lidar data, apply the data filters and calculate the mean horizontal wind speed and wind direction. Further details on this data set can be found in the attached data documentation.本数据集采集于2020年6月1日至9月14日，地点位于德国法尔肯贝格（陶赫），属于汉斯-埃特尔气象研究中心（Hans-Ertel-Center for Weather Research）发起的2020年FESST@MOL（林登贝格气象观测站亚中尺度时空变异性野外实验）野外实验项目。本次观测点位设于德国法尔肯贝格边界层野外站（GM）。 本次实验采集的数据由卡尔斯鲁厄理工学院（Karlsruhe Institute of Technology）布设的三台多普勒激光雷达（Doppler Lidar, DL）搭建为虚拟塔（Virtual Tower, VT），用于测试五种不同的虚拟塔扫描方案；本次实验同时测试了步进凝视（step/stare）与距离高度指示器（range-height-indicator, RHI）两类扫描方法。 版本2中的NetCDF_to_VirtualTower.R脚本包含了用于读取激光雷达数据、应用数据滤波算法并计算平均水平风速与风向的R语言代码。 有关本数据集的更多详细信息可参阅随附的数据文档。