红外与激光工程, 2018, 47 (2): 0230002, 网络出版: 2018-04-26   

相干测风激光雷达VAD风场反演的数据质量控制方法

Data quality control method for VAD wind field retrieval based on coherent wind lidar
作者单位
1 中国海洋大学 信息科学与工程学院, 山东 青岛 266100
2 青岛航天海鹰环境科技有限责任公司, 山东 青岛 266100
摘要
相干测风激光雷达扫描测量模式下使用速度方位显示(VAD)方法反演水平风场时, 若不进行质量控制, 会使拟合数据精度大幅降低。基于最小二乘VAD拟合算法, 通过分析相干测风激光雷达扫描测量模式中的多种误差源, 设置了信噪比、数据残差、扫描区间有效数据、数据有效率四个判据对参与拟合的数据质量进行控制, 进而提出了基于以上判据的VAD逐级拟合质量控制方案, 设计了数据质量控制流程, 并对该方法进行了实验验证。通过对2 955组10 min平均激光雷达测风数据与高精度风杯数据进行对比分析, 结果表明: 经VAD逐级拟合质量控制流程后, 风速均方根偏差从0.97 m/s降低到0.54 m/s, 比对偏差降低约44%, 风向均方根偏差从7.47°降低到5.55°, 比对偏差降低约26%。
Abstract
The precision of wind filed retrieved from coherent wind lidar scanning measurement mode using VAD method could be substantially low without quality control. By investigating error sources in the scanning measurement mode, based on least square VAD fitting algorithm, a stepwise regression procedure for quality control of the data involved in wind regression was presented. The statistical parameters adopted for the quality control process included SNR, data residual, scanning interval effective data and the data efficiency. Based on the technique proposed, the quality control strategy was designed and verified by comparing the Lidar retrieved 2 955 pair of 10-minuts averaged wind data with those derived from the wind cup data. The result shows that the root mean square deviation (RMSD) of the wind speed has been reduced for approximately 44% from 0.97 m/s to 0.54 m/s, while the RMSD of wind direction has been reduced for approximately 26% from 7.47° to 5.55°.
参考文献

[1] Dolfi-Bouteyre A, Augere B, Valla M, et al. Aircraft wake vortex study and characterization with 1.5 μm fiber Doppler lidar[J]. Aerospace Lab, 2009(1): 1-13.

[2] Kunkel K E, Eloranta E W, Shipley S T. Lidar observations of the convective boundary layer[J]. Journal of Applied Meteorology, 1977, 16(12): 1306-1311.

[3] Iungo G V, Wu Y T, Portéagel F. Field measurements of wind turbine wakes with lidars[J]. Journal of Atmospheric & Oceanic Technology, 2013, 30(2): 274-287.

[4] Browning K A, Wexler R. The determination of kinematic properties of a wind field using Doppler radar[J]. J Appl Meteor, 1968, 7(1): 105-113.

[5] Li L I, Wang C Z, Xie Y F, et al. Wind field inversion technique for scanning wind lidar[J]. Chinese Optics, 2013, 6(2): 251-258.

[6] Yamada Y, Chong M. Vad-based determination of the nyquist internal number of Doppler velocity aliasing without wind information[J]. Journal of the Meteorological Society of Japan, 1999, 77(2): 447-457.

[7] Tabary P, Scialom G, Germann U. Real-time retrieval of the wind from aliased velocities measured by Doppler radars[J]. Journal of Atmospheric & Oceanic Technology, 2001, 18(6): 875-882.

[8] Tabary P, Petitdidier M. Application of a bayesian wind profile retrieval technique to radar data collected in the alpine southern upslope region and comparison with upstream wind profiler measurements[J]. Journal of Atmospheric & Oceanic Technology, 2002, 19(6): 875-887.

[9] Collins W G. The quality control of velocity azimuth display(VAD) winds at the national centers for environmental prediction[EB/OL].[2001-06-20]. http://www.emc.noaa.gov/mmb/papers/Collins/preprints/vadqc.htm.

[10] 朱立娟, 龚建东. OIQC技术在雷达反演VAD廓线资料退模糊中的应用研究[J]. 高原气象, 2006, 25(5): 862-869.

    Zhu Lijuan, Gong Jiandong. A study on application to velocity dealiasing of Doppler radar VAD profile data[J]. Plateau Meteorology, 2006, 25(5): 862-869. (in Chinese)

[11] Holleman I. Quality control and verification of weather radar wind profiles[J]. Journal of Atmospheric & Oceanic Technology, 2005, 22(22): 1541-1550.

[12] 陆大春, 蒋年冲. VAD有关产品在临近预报中的应用[J]. 应用气象学报, 2003, 14(S1): 156-160.

    Lu Dachun, Jiang Nianchong. Application of products based on VAD technique to nowcasting[J]. Journal of Applied Meteorological Science, 2003, 14(S1): 156-160. (in Chinese)

[13] 邵爱梅, 乔小湜, 邱崇践. VAD技术反演水平风廓线的质量控制标准[J]. 兰州大学学报(自科版), 2009, 45(5): 57-62.

    Shao Aimei, Qiao Xiaoshi, Qiu Changcheng, et al. Criteria of quality control for VAD winds[J]. Journal of Lanzhou University (Natural Sciences), 2009, 45(5): 57-62. (in Chinese)

[14] 尹嘉萍. 风机尾流场与海气边界层风场的多普勒激光雷达观测研究[D]. 青岛: 中国海洋大学, 2015.

    Yin Jiaping. Research and observation of turbine wake and wind field of MABL by coherent Doppler wind lidar[D]. Qingdao: Ocean University of China, 2015. (in Chinese)

[15] 刘秉义. 车载测风激光雷达性能优化和风场反演[D].青岛: 中国海洋大学, 2008.

    Liu Bingyi. Performance optimization and wind field retrieval for mobile wind lidar[D]. Qingdao: Ocean University of China, 2008. (in Chinese)

[16] 黄敏. 连续相干激光测风雷达非线性VAD方法研究[D]. 成都: 成都理工大学, 2012.

    Huang Min. Research on nonlinear VAD method of continuous coherent wind lidar[D]. Chengdu: Chengdu Technology University, 2012. (in Chinese)

[17] 杨彦玲, 李彦超, 高龙,等. 相干激光雷达平衡外差探测方法的数值仿真[J]. 红外与激光工程, 2011, 40(10): 1918-1922.

    Yang Yanling, Li Yanchao, Gao Long, et al. Numerical simulation of balanced heterodyne detection for coherent lidar[J]. Infrared and Laser Engineering, 2011, 40(10): 1918-1922. (in Chinese)

[18] Frehlich R. Simulation of coherent Doppler lidar performance in the weak-signal regime[J]. Journal of Atmospheric and Oceanic Technology, 1996, 13(3): 646-658.

[19] 王希涛. 全光纤激光相干测速技术研究[D]. 青岛: 中国海洋大学, 2011.

    Wang Xitao. The research of all-fiber laser heterodyne detection for velocity measurement[D]. Qingdao: Ocean University of China, 2011. (in Chinese)

[20] 潘静岩, 邬双阳, 刘果,等. 相干激光测风雷达风场测量技术[J]. 红外与激光工程, 2013, 42(7): 1720-1724.

    Pan Jingyan, Wu Shuangyang, Liu Guo, et al. Wind measurement techniques of coherent wind lidar[J]. Infrared and Laser Engineering, 2013, 42(7): 1720-1724. (in Chinese)

[21] Wu S, Liu B, Liu J, et al. Wind turbine wake visualization and characteristics analysis by Doppler lidar[J]. Optics Express, 2016, 24(10): A762.

[22] Wu S, Liu B, Liu J. Aircraft wake vortex measurement with coherent Doppler lidar[C]//European Physical Journal Web of Conferences, 2016: 14008.

[23] Wu S, Yin J, Liu B, et al. Observations of wind profile of marine atmosphere boundary layer by shipborne coherent Doppler lidar[C]// The 27th International Laser Radar Conference, 2016, 119: 06017.

[24] Wu S, Yin J, Liu B, et al. Wind turbine wake visualization by Doppler lidar[C]//Optics and Photonics for Energy and the Environment, 2015: EM3A.4.

[25] 曾书儿. 风速风向的矢量平均方法[J]. 气象, 1983, 9(6):21-22.

    Zeng Shuer. The vector mean method of wind[J]. Meteorological, 1983, 9(6): 21-22. (in Chinese)

王贵宁, 刘秉义, 冯长中, 吴松华, 刘金涛, 王希涛, 李荣忠. 相干测风激光雷达VAD风场反演的数据质量控制方法[J]. 红外与激光工程, 2018, 47(2): 0230002. Wang Guining, Liu Bingyi, Feng Changzhong, Wu Songhua, Liu Jintao, Wang Xitao, Li Rongzhong. Data quality control method for VAD wind field retrieval based on coherent wind lidar[J]. Infrared and Laser Engineering, 2018, 47(2): 0230002.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!