Vol.28, NO.3, 2017
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Article Navigation >  Journal of Applied Meteorological Science  > 2017  >  28(3): 327-339
Chen Wenchao, Song Lili, Wang Zhichun, et al. The wind measuring performance of WINDCUBE V2 pulse laser wind profiler under different weather conditions. J Appl Meteor Sci, 2017, 28(3): 327-339. DOI:  10.11898/1001-7313.20170307.
Citation: Chen Wenchao, Song Lili, Wang Zhichun, et al. The wind measuring performance of WINDCUBE V2 pulse laser wind profiler under different weather conditions. J Appl Meteor Sci, 2017, 28(3): 327-339. DOI:  10.11898/1001-7313.20170307.
shu

The Wind Measuring Performance of WINDCUBE V2 Pulse Laser Wind Profiler Under Different Weather Conditions

DOI: 10.11898/1001-7313.20170307
  • 1.

    Guangdong Meteorology Disaster Prevention Technology Service Center, Guangzhou 510080

  • 2.

    Public Meteorological Service Center of CMA, Beijing 100081

  • Received Date: 2016-10-17
  • Rev Recd Date: 2017-02-27
  • Publish Date: 2017-05-31
    Abstract
  • The wind data observed by the gradient wind observation system set on 100 m high tower in Donghai Island meteorology station located in Zhanjiang, Guangdong Province are compared with the wind data measured by WINDCUBE V2 pulse laser wind profiler installed at the same site from 21 May to 16 August in 2012. Based on time synchronization adjustment, validity test and sample selection, a comparative analysis is conducted using several wind parameters observed at heights of 50 m, 65 m, 70 m, 100 m by cup anemometer, ultrasonic anemometer and WINDCUBE V2 under weak wind, strong wind, sunny and rainy days.Results show that fitting degrees of horizontal wind parameters are quite good. Fitting degrees of wind speed and wind direction measured by WINDCUBE V2 and cup anemometer are up to more than 0.99. The fitting degree of 3 s gust wind speed is over 0.96. Fitting degrees of 3 s gust wind speed, turbulence intensity and wind speed standard deviation are over 0.96, 0.67 and 0.79, respectively. The WINDCUBE V2 performs a little better under strong wind and no rainfall condition when measuring the above wind parameters. Fitting degrees of wind speed and wind direction of strong wind samples are a litter larger than that of weak wind samples. More than 90% strong wind speed relative deviation vary between-4.5% and 2.5% while more than 90% wind speed relative deviation vary between-11.5% and 5.5% under weak wind condition. Overall, the precipitation has no obvious influence on the measurement of wind speed, wind direction, turbulence intensity and gust wind speed by WINDCUBE V2 when the 10 min rainfall intensity is less than 15 mm while measurements of wind speed standard deviation are a bit influenced by precipitation. Fitting degrees of wind speed and wind direction of samples without rain are a litter larger than that on rainy days, but both are over 0.99. The WINDCUBE V2 performs weaker at the vertical airflow velocity measurement under the increasing of horizontal wind speed and the precipitation. The fitting degree of vertical airflow velocity is 0.872 when the horizontal wind speed is between 0-1.5 m·s-1. But the fitting degree of vertical airflow velocity decreases to 0.25 when the horizontal wind speed increases to 0-6 m·s-1. The vertical airflow velocity measured by WINDCUBE V2 decreases more significantly with the stronger rainfall. When 1 min rainfall intensity is over 0.5 mm, the vertical airflow velocity measured by WINDCUBE V2 is found to be 4 m·s-1 less than the measurement of ultrasonic anemometer. These results can provide some technical references for the reliability test method of laser wind profiler measured data.
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  • Fig. 1  Variation of data availability of WINDCUBE V2 Lidar with measuring height

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    Fig. 2  Scatter plot of wind parameter and the fitting curve for all samples at 100 m height

    (a) wind speed, (b) wind direction

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    Fig. 3  Scatter plot of wind parameters and the fitting curve of samples of weak wind and strong wind observed at 100 m height (red dot and solid line denote weak wind and the linear fitting line; blue dot and dashed line denote strong wind and linear fitting line)

    (a) wind speed, (b) wind direction, (c) turbulence intensity, (d) gust wind speed, (e) wind speed standard deviation

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    Fig. 4  Probability distribution of the relative deviation of wind speed at 100 m height for samples of weak wind (a) and strong wind (b)

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    Fig. 5  Scatter plot of wind parameters and the fitting curve of samples with and without rain at 100 m (red dot and solid line:samples with rain and the linear fitting line; blue dot and dashed line: samples without rain and linear fitting line)

    (a) wind speed, (b) wind direction, (c) turbulence intensity, (d) gust wind speed, (e) wind speed standard deviation

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    Fig. 6  Probability distribution of the relative deviation of wind speed for samples without rain (a), withrain (b) and variations of the relative deviations with rainfall intensity (c) at 100 m height

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    Fig. 7  Variation of vertical airflow velocity fitting degree of lidar against ultrasonic anemometer with the horizontal wind velocity for samples without rain

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    Fig. 8  Time series of 1 min vertical airflow and horizontal velocity and the rainfall

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    Table  1  Specifications of WINDCUBE V2 Lidar

    参数名称 数值
    测量高度范围 40~300 m
    数据采样频率 1 s
    采样长度 20 m
    扫描锥角度 28°
    风速分辨率 0.1 m·s-1
    环境温度范围 -45~50℃
    光波波长 1.54 μm
    发射频率 30000 Hz
    风速测量范围 0~80 m·s-1
    风向分辨率 1°
    DownLoad: Download CSV

    Table  2  Results of regression analysis for wind parameters measured by lider and cup anemometer

    风参数 高度/m 拟合直线斜率 拟合直线截距 拟合度 偏差平均值 偏差标准差
    50 0.990 0.000 0.994 -0.060 m·s-1 0.172 m·s-1
    10 min风速 70 1.000 -0.040 0.997 -0.041 m·s-1 0.129 m·s-1
    100 0.998 -0.074 0.997 -0.088 m·s-1 0.127 m·s-1
    50 1.012 1.152 0.997 2.810° 3.203°
    10 min风向 70 1.012 9.870 0.996 11.440° 3.741°
    100 1.003 11.156 0.997 11.678° 3.295°
    50 0.844 0.032 0.670 0.011 0.033
    湍流强度 70 1.045 0.009 0.777 0.014 0.030
    100 1.047 0.012 0.769 0.017 0.032
    50 1.039 0.055 0.968 0.347 m·s-1 0.519 m·s-1
    3 s阵风风速 70 1.035 0.110 0.967 0.378 m·s-1 0.538 m·s-1
    100 1.032 0.098 0.961 0.348 m·s-1 0.576 m·s-1
    50 1.030 0.039 0.875 0.062 m·s-1 0.120 m·s-1
    风速标准差 70 1.031 0.054 0.840 0.075 m·s-1 0.127 m·s-1
    100 1.092 0.041 0.797 0.092 m·s-1 0.136 m·s-1
    DownLoad: Download CSV

    Table  3  Results of regression analysis for wind parameters measured by lider and cup anemometer for samples of weak wind and strong wind

    风参数 高度/m 风速样本 拟合直线斜率 拟合直线截距 拟合度 偏差平均值 偏差标准差
    10 min风速 50 小风 0.947 0.173 0.975 -0.049 m·s-1 0.180 m·s-1
    大风 1.009 -0.147 0.989 -0.073 m·s-1 0.160 m·s-1
    70 小风 0.992 -0.007 0.989 -0.043 m·s-1 0.115 m·s-1
    大风 1.000 -0.041 0.993 -0.038 m·s-1 0.142 m·s-1
    100 小风 0.971 0.047 0.987 -0.080 m·s-1 0.128 m·s-1
    大风 1.009 -0.171 0.995 -0.095 m·s-1 0.125 m·s-1
    10 min风向 50 小风 1.011 1.522 0.996 3.131° 3.933°
    大风 1.012 0.861 0.999 2.390° 1.770°
    70 小风 1.010 10.193 0.994 11.656° 4.975°
    大风 1.013 9.594 0.999 11.216° 1.650°
    100 小风 1.004 11.259 0.995 11.893° 4.556°
    大风 1.003 11.155 0.999 11.501° 1.616°
    湍流强度 50 小风 0.827 0.035 0.645 0.010 0.042
    大风 0.937 0.019 0.777 0.011 0.014
    70 小风 1.035 0.014 0.749 0.018 0.038
    大风 0.992 0.011 0.829 0.010 0.014
    100 小风 1.006 0.022 0.716 0.022 0.045
    大风 1.062 0.007 0.839 0.012 0.014
    3 s阵风风速 50 小风 1.046 0.017 0.899 0.273 m·s-1 0.498 m·s-1
    大风 1.034 0.108 0.932 0.443 m·s-1 0.531 m·s-1
    70 小风 1.063 -0.024 0.877 0.326 m·s-1 0.528 m·s-1
    大风 1.048 -0.044 0.939 0.431 m·s-1 0.542 m·s-1
    100 小风 1.061 -0.022 0.837 0.314 m·s-1 0.588 m·s-1
    大风 1.057 -0.183 0.939 0.376 m·s-1 0.565 m·s-1
    风速标准差 50 小风 1.088 0.000 0.760 0.051 m·s-1 0.130 m·s-1
    大风 0.946 0.128 0.865 0.076 m·s-1 0.104 m·s-1
    70 小风 1.154 -0.002 0.746 0.076 m·s-1 0.142 m·s-1
    大风 0.983 0.087 0.862 0.073 m·s-1 0.110 m·s-1
    100 小风 1.224 -0.011 0.709 0.092 m·s-1 0.160 m·s-1
    大风 1.045 0.064 0.849 0.091 m·s-1 0.114 m·s-1
    DownLoad: Download CSV

    Table  4  Results of regression analysis for wind parameters measured by lider and cup anemometer for samples with and without rain

    风参数 高度/m 风速样本 拟合直线斜率 拟合直线截距 拟合度 偏差平均值 偏差标准差
    10 min风速 50 无降雨 0.992 -0.019 0.994 -0.066 m·s-1 0.166 m·s-1
    有降雨 0.971 0.219 0.993 0.032 m·s-1 0.238 m·s-1
    70 无降雨 1.001 -0.051 0.997 -0.044 m·s-1 0.122 m·s-1
    有降雨 0.984 0.143 0.995 0.034 m·s-1 0.212 m·s-1
    100 无降雨 0.999 -0.095 0.998 -0.096 m·s-1 0.118 m·s-1
    有降雨 0.987 0.075 0.996 -0.020 m·s-1 0.184 m·s-1
    10 min风向 50 无降雨 1.012 1.103 0.997 2.847° 3.085°
    有降雨 1.000 2.687 0.992 2.650° 5.451°
    70 无降雨 1.012 9.751 0.998 11.465° 2.984°
    有降雨 1.005 10.240 0.995 10.904° 4.457°
    100 无降雨 1.004 11.167 0.997 11.693° 3.238°
    有降雨 1.001 11.714 0.995 11.798° 4.658°
    湍流强度 50 无降雨 0.865 0.029 0.653 0.011 0.033
    有降雨 0.761 0.042 0.848 0.003 0.045
    70 无降雨 1.070 0.006 0.777 0.014 0.029
    有降雨 0.893 0.031 0.817 0.016 0.045
    100 无降雨 1.080 0.009 0.789 0.017 0.030
    有降雨 0.897 0.038 0.711 0.026 0.058
    3 s阵风风速 50 无降雨 1.041 0.030 0.970 0.336 m·s-1 0.505 m·s-1
    有降雨 1.021 0.392 0.941 0.573 m·s-1 0.845 m·s-1
    70 无降雨 1.036 0.093 0.970 0.365 m·s-1 0.507 m·s-1
    有降雨 1.021 0.514 0.932 0.701 m·s-1 0.931 m·s-1
    100 无降雨 1.033 0.068 0.966 0.273 m·s-1 0.498 m·s-1
    有降雨 1.000 0.816 0.908 0.443 m·s-1 0.531 m·s-1
    风速标准差 50 无降雨 1.032 0.038 0.877 0.062 m·s-1 0.118 m·s-1
    有降雨 1.002 0.063 0.847 0.065 m·s-1 0.160 m·s-1
    70 无降雨 1.035 0.051 0.846 0.073 m·s-1 0.123 m·s-1
    有降雨 0.950 0.151 0.763 0.110 m·s-1 0.196 m·s-1
    100 无降雨 1.093 0.038 0.807 0.089 m·s-1 0.130 m·s-1
    有降雨 0.985 0.178 0.679 0.167 m·s-1 0.229 m·s-1
    DownLoad: Download CSV
  • [1]
    Song Lili, Chen Wenchao, Wang Binglan, et al.Characteristics of wind profiles in the landing typhoon boundary layer.J Wind Eng Ind Aerodyn, 2016, 149:77-88. doi:  10.1016/j.jweia.2015.11.008
    [2]
    中华人民共和国住房和城乡建设部. 建设结构荷载规范 (GB 50009-2012). 北京: 中国建筑工业出版社, 2012.
    [3]
    张容焱, 张秀芝, 杨校生, 等.台风莫拉克 (0908) 影响期间近地层风特性.应用气象学报, 2012, 23(2):184-194. doi:  10.11898/1001-7313.20120207
    [4]
    王青梅, 张以谟.气象激光雷达的发展现状.气象科技, 2006, 34(3):246-249. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200603001.htm
    [5]
    陈元昭, 俞小鼎, 陈训来, 等.2015年5月华南一次龙卷过程观测分析.应用气象学报, 2016, 27(3):334-341. doi:  10.11898/1001-7313.20160308
    [6]
    王志春, 植石群, 丁凌云.强台风纳沙 (1117) 近地层风特性观测分析.应用气象学报, 2013, 24(5):595-605. doi:  10.11898/1001-7313.20130509
    [7]
    魏应植, 汤达章, 许健民, 等.多普勒雷达探测"艾利"台风风场不对称结构.应用气象学报, 2007, 18(3):285-294. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070350&flag=1
    [8]
    李明华, 范绍佳, 王宝民, 等.珠江三角洲秋季大气边界层温度和风廓线观测研究.应用气象学报, 2008, 19(1):53-60. doi:  10.11898/1001-7313.20080110
    [9]
    夏俊荣, 王普才, 闵敏.新型多普勒测风激光雷达Windcube的风参数观测与验证.气候与环境研究, 2011, 6(6):733-741. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH201106009.htm
    [10]
    Canadillas B, Westerhellweg A, Neumann T, et al.Testing the Performance of a Ground-based Wind LiDAR System.DEWI MAGAZIN, 2011.
    [11]
    Gottschall J L, Michael S C.WINDCUBE V2 WLS7-0091 Lidar Verification Test at Høvsøre Test Site.Risø-I-3080(EN), 2010.
    [12]
    郑启明, 罗元隆, 王军翰. 自然风场特性之实场量测与风洞模拟//第十六届全国结构风工程会议论文集. 成都: 西南交通大学出版社, 2013: 461-468.
    [13]
    中国气象局.地面气象观测规范.北京:气象出版社, 2003.
    [14]
    宋丽莉, 陈雯超, 黄浩辉.工程抗台风研究中风观测数据的可靠性和代表性判别.气象科技进展, 2011, 1(1):33-37. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKZ201101009.htm
    [15]
    Song L L, Li Q S, Chen W C, et al.Wind characteristics of a strong typhoon in marine surface boundary layer.Wind and Structures, 2012, 15(1):1-15. doi:  10.12989/was.2012.15.1.001
    [16]
    盛裴轩, 毛节泰, 李建国, 等.大气物理学.北京:北京大学出版社, 2003.
    [17]
    项海帆, 林志兴, 鲍卫刚, 等.公路桥梁抗风设计指南.北京:人民交通出版社, 1996.
    [18]
    Architectural Institute of Japan.Recommendations for Loads on Buildings (AIJ-RLB-2004).Tokyo, 2004.
    [19]
    ASCE.Minimum Design Loads for Buildings and Other Structures, Reston, VA, ASCE/SEI 7-05, New York, 2006.
    [20]
    Buildings Department.Code of Practice for Wind Effects in Hong Kong, Buildings Department of Hong Kong, 2004.
    [21]
    邓闯, 阮征, 魏鸣, 等.风廓线雷达测风精度评估.应用气象学报, 2012, 23(5):523-533. doi:  10.11898/1001-7313.20120502
    [22]
    林晓萌, 何平, 黄兴友.一种抑制降水对风廓线雷达水平风干扰的方法.应用气象学报, 2015, 26(1):66-75. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20150107&flag=1
    [23]
    何平, 朱小燕, 阮征.风廓线雷达探测降水过程的初步研究.应用气象学报, 2009, 20(4):465-470. doi:  10.11898/1001-7313.200904011
    [24]
    潘乃先, 郑毅.风对多普勒声雷达测风的某些影响.北京大学学报 (自然科学版), 1986, 22(1):98-105. http://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ198601009.htm
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    • Received : 2016-10-17
    • Accepted : 2017-02-27
    • Published : 2017-05-31
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