Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar

被引:0
作者
Lu Wang
Wei Qiang
Haiyun Xia
Tianwen Wei
Jinlong Yuan
Pu Jiang
机构
[1] University of Science and Technology of China,School of Earth and Space Science
[2] University of Science and Technology of China,Hefei National Laboratory for Physical Sciences at the Microscale
[3] University of Science and Technology of China,CAS Center for Excellence in Comparative Planetology
来源
Advances in Atmospheric Sciences | 2021年 / 38卷
关键词
boundary layer height; coherent Doppler wind lidar; carrier-to-noise ratio; turbulent kinetic energy dissipation rate; 边界层高度; 相干多普勒测风激光雷达; 湍流动能耗散率; 载噪比;
D O I
暂无
中图分类号
学科分类号
摘要
Although coherent Doppler wind lidar (CDWL) is promising in detecting boundary layer height (BLH), differences between BLH results are observed when different CDWL measurements are used as tracers. Here, a robust solution for BLH detections with CDWL is proposed and demonstrated: mixed layer height (MLH) is retrieved best from turbulent kinetic energy dissipation rate (TKEDR), while stable boundary layer height (SBLH) and residual layer height (RLH) can be retrieved from carrier-to-noise ratio (CNR). To study the cause of the BLH differences, an intercomparison experiment is designed with two identical CDWLs, where only one is equipped with a stability control subsystem. During the experiment, it is found that the CNR could be distorted by instrument instability because the coupling efficiency from free-space to the polarization-maintaining fiber of the telescope is sensitive to the surrounding environment. In the ML, a bias up to 2.13 km of the MLH from CNR is found, which is caused by the CNR deviation. In contrast, the MLH from TKEDR is robust as long as the accuracy of wind is guaranteed. In the SBL (RL), the CNR is found capable to retrieve SBLH and RLH simultaneously and robustly. This solution is tested during an observation period over one month. Statistical analysis shows that the root-mean-square errors (RMSE) in the MLH, SBLH, and RLH are 0.28 km, 0.23 km, and 0.24 km, respectively.
引用
收藏
页码:1920 / 1928
页数:8
相关论文
共 114 条
[1]  
Banakh V A(2010)Measurements of wind velocity and direction with coherent Doppler lidar in conditions of a weak echo signal Atmospheric and Oceanic Optics 23 381-388
[2]  
Brewer A(2017)Estimation of the turbulence energy dissipation rate in the atmospheric boundary layer from measurements of the radial wind velocity by micropulse coherent Doppler lidar Optics Express 25 22 679-22 692
[3]  
Pichugina E L(2003)Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles J. Atmos. Oceanic Technol. 20 1092-1105
[4]  
Smalikho I N(1997)Modeling heterodyne efficiency for coherent laser radar in the presence of aberrations Optics Express 1 60-67
[5]  
Banakh V A(2014)Determination and climatology of the planetary boundary layer height above the Swiss plateau by in situ and remote sensing measurements as well as by the COSMO-2 model Atmospheric Chemistry and Physics 14 13 205-13 221
[6]  
Smalikho I N(2000)Boundary layer height and entrainment zone thickness measured by lidars and wind-profiling radars J. Appl. Meteorol. Climatol. 39 1233-1247
[7]  
Falits A V(2007)Multiple atmospheric layering and mixing-layer height in the Inn valley observed by remote sensing Meteor. Z. 16 415-424
[8]  
Brooks I M(2008)Surface-based remote sensing of the mixing-layer height-A review Meteor. Z. 17 621-630
[9]  
Chambers D M(1997)Lidar determination of the entrainment zone thickness at the top of the unstable marine atmospheric boundary layer Bound. — Layer Meteorol. 83 247-284
[10]  
Coen M C(2016)The climatology of planetary boundary layer height in China derived from radiosonde and reanalysis data Atmospheric Chemistry and Physics 16 13 309-13 319