Infrared and Laser Engineering, Volume. 47, Issue 2, 230002(2018)

Data quality control method for VAD wind field retrieval based on coherent wind lidar

Wang Guining1、*, Liu Bingyi1, Feng Changzhong1, Wu Songhua1, Liu Jintao1, Wang Xitao2, and Li Rongzhong2
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  • 2[in Chinese]
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    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°.

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    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): 230002

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    Paper Information

    Category: 激光雷达技术

    Received: Aug. 6, 2017

    Accepted: Oct. 15, 2017

    Published Online: Apr. 26, 2018

    The Author Email: Guining Wang (972015021@163.com)

    DOI:10.3788/irla201847.0230002

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