Chinese Journal of Lasers, Volume. 47, Issue 12, 1204009(2020)

Algorithm of Retrieving Boundary Layer Height Based on Raman Lidar Water Vapor Data

Chu Yufei1,2, Liu Dong1,2, Wu Decheng1,2, and Wang Yingjian1,2、*
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2University of Science and Technology of China, Hefei, Anhui 230036, China
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    Figures & Tables(8)
    Flow chart of PBL height is obtained by DP segmentation algorithm
    Vertical profiles based on water vapor data of Raman lidar at different times. (a) 5:30; (b) 11:30; (c) 17:30; (d) 21:30
    Boundary layer heights retrieved by DP slope algorithm
    Boundary layer heights based on Raman lidar water vapor data and sounding data
    Height agreement of boundary layer based on Raman lidar and airsonde data
    Comparison of boundary layer heights based on Raman lidar water vapor data and radiosonde data
    • Table 1. Raman lidar related parameters at SGP site[14]

      View table

      Table 1. Raman lidar related parameters at SGP site[14]

      ParameterContent
      LaserTripled Nd∶YAG
      Wavelength/nm355
      Pulse energy/mJ300--400
      Pulse repetition frequency/Hz30
      Beam diameter/cm13 (~0.1mrad divergence)
      Bandwidth/cm-1~2
      Filter transmission/%30--40
      WFOV/mrad2
      NFOV/mrad0.3
      DatastreamSgpdlfptc1.b1
    • Table 2. Relationship between potential temperature and water vapor content

      View table

      Table 2. Relationship between potential temperature and water vapor content

      Potential temperature/KWater vapor/(g·kg-1)
      2630
      2734
      2838
      29312
      30316
      31320
      32324
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    Chu Yufei, Liu Dong, Wu Decheng, Wang Yingjian. Algorithm of Retrieving Boundary Layer Height Based on Raman Lidar Water Vapor Data[J]. Chinese Journal of Lasers, 2020, 47(12): 1204009

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    Paper Information

    Category: Measurement and metrology

    Received: Jul. 2, 2020

    Accepted: --

    Published Online: Dec. 3, 2020

    The Author Email: Yingjian Wang (wyj@aiofm.ac.cn)

    DOI:10.3788/CJL202047.1204009

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