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陆地和近海面大气光学湍流估算与测量

徐春燕 詹国伟 青春 蔡俊 吴晓庆

徐春燕, 詹国伟, 青春, 等. 陆地和近海面大气光学湍流估算与测量[J]. 强激光与粒子束, 2018, 30: 021003. doi: 10.11884/HPLPB201830.170296
引用本文: 徐春燕, 詹国伟, 青春, 等. 陆地和近海面大气光学湍流估算与测量[J]. 强激光与粒子束, 2018, 30: 021003. doi: 10.11884/HPLPB201830.170296
Xu Chunyan, Zhan Guowei, Qing Chun, et al. Estimation and measurement of optical turbulence over land and offshore[J]. High Power Laser and Particle Beams, 2018, 30: 021003. doi: 10.11884/HPLPB201830.170296
Citation: Xu Chunyan, Zhan Guowei, Qing Chun, et al. Estimation and measurement of optical turbulence over land and offshore[J]. High Power Laser and Particle Beams, 2018, 30: 021003. doi: 10.11884/HPLPB201830.170296

陆地和近海面大气光学湍流估算与测量

doi: 10.11884/HPLPB201830.170296
基金项目: 

国家自然科学基金项目 41576185

详细信息
    作者简介:

    徐春燕(1993—),女,硕士研究生,从事大气光学湍流估算和测量的研究; xuchunya@mail.ustc.edu.cn

    通讯作者:

    吴晓庆(1963—),男,研究员,博士生导师,主要从事大气边界层、大气湍流测量与模式、天文选址等研究; xqwu@aiofm.ac.cn

  • 中图分类号: P183.4

Estimation and measurement of optical turbulence over land and offshore

  • 摘要: 基于Monin-Obukhov相似性理论,采用MARIAH算法,利用成都和茂名两个地区、两个高度层上的温度、湿度、风速等常规气象参数估算折射率结构常数,并对估算值与温度脉动仪测量值进行比较分析。结果显示:利用常规气象参数估算得到的成都与茂名的折射率结构常数在变化趋势及量级上基本符合温度脉动仪测量值。成都和茂名的折射率结构常数估算值与测量值的相关系数分别为0.86与0.92,平均绝对值偏差分别为0.410与0.414。因此,采用MARIAH算法估算陆地和近海面大气光学折射率结构常数是可行的;茂名中午时刻的折射率结构常数峰值比成都大一个量级。
  • 图  1  近地面测量系统

    Figure  1.  Schematic diagram of surface layer measurement system

    图  2  成都Cn2的温度脉动仪测量值与模式估算值的比较

    Figure  2.  Time series comparison of Cn2 estimated by model and measured by micro-thermometer in Chengdu from May 16 to May 18, 2014

    图  3  茂名Cn2的温度脉动仪测量值与模式估算值的比较

    Figure  3.  Time series comparison of Cn2 estimated by model and measured by micro-thermometer in Maoming from October 20 to October 22, 2012

    图  4  成都与茂名Cn2的温度脉动仪测量值与估算值的统计分析

    Figure  4.  Statistical analysis of model and measurement of Cn2 in Chengdu and Maoming

    表  1  近地面大气参数测量系统传感器技术参数

    Table  1.   Technical parameters of sensors for near-surface atmospheric parameters measurement

    name model accuracy
    temperature/RH probe HMP155 temperature: < 0.1 ℃;RH: ±1% RH(0~90%RH), ±1.7%RH(90%~100%RH)
    wind monitor 05106 wind speed: ±0.3 m/s, wind direction: ±3°
    micro-thermometer MT1 system noise level corresponding to DT of 2×10-3
    下载: 导出CSV
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    Wu Xiaoqing, Zhu Xingting, Huang Honghua, et al. Optical turbulence of atmospheric surface layer estimated based on the Monin-Obukhov similarity theory. Acta Optica Sinica, 2012, 32 (7): 22-28 https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB201207003.htm
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    Li Yang, Xiang Libin, Zhang Wenxi. Effects of laser propagation through atmospheric turbulence on imaging quality in Fourier telescopy. High Power Laser and Particle Beams, 2013, 25 (2): 292-296 doi: 10.3788/HPLPB20132502.0292
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    Qing Chun, Wu Xiaoqing, Li Xuebin. Forecast upper air optical turbulence based on weather research and forecasting model. High Power Laser and Particle Beams, 2015, 27: 061009 doi: 10.11884/HPLPB201527.061009
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    [10] Qing Chun, Wu Xiaoqing, Huang Honghua, et al. Estimating the surface layer refractive index structure constant over snow and sea ice using Monin-Obukhov similarity theory with a mesoscale atmospheric model[J]. Optics Express, 2016, 24 (18): 20424. doi: 10.1364/OE.24.020424
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出版历程
  • 收稿日期:  2017-07-17
  • 修回日期:  2017-09-11
  • 刊出日期:  2018-02-15

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