Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1201001(2022)

Analysis of Near Sea-Surface Optical Turbulence Characters Based on Hilbert-Huang Transform

Hanjiu Zhang1,2, Gang Sun2、*, Kun Zhang1,2, Yang Wu1,2, Feifei Wang2, Xuebin Li2, Shengcheng Cui2, Qing Liu2, and Ningquan Weng1,2
Author Affiliations
  • 1School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, Anhui , China
  • 2Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    Figures & Tables(8)
    Instrument and Cn2 daily change. (a) Instrument installation environment; (b) daily change of refractive index structure constant on November 16, 2019
    IMF and IMF frequency spectra. (a) Cn2 time series and corresponding IMF at noon on November 16, 2019; (b) IMF FFT frequency spectra
    Relationship between m and T of IMF. (a) m-T; (b) m-lnT
    IMF reconstruction with different scales and corresponding relation with original signal. (a)(b) Different IMF combinations; (c)(d) relation between reconstructed combination and original signal
    Spectrum analysis. (a) Time-frequency-energy distribution of IMF obtained by HHT; (b) HHT marginal spectrum and FFT spectrum; (c) normalized marginal spectra of meteorological elements and Cn2 in unstable layer condition; (d) as Fig.5(c) but in stable layer condition
    • Table 1. Character analysis of each IMF

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      Table 1. Character analysis of each IMF

      ParameterIMF1IMF2IMF3IMF4IMF5IMF6IMF7IMF8R
      Correlation0.670.430.330.270.260.150.100.020.13
      Period number246119.56029.511.552.51
      Period /s14.26330.1360122.03313.0472014403600
      Energy /(10-28·m-4/9·s)1.152.451.981.352.3114.4533.809.803.96
      Mean energy /(10-31·m-4/9·s)4.6820.5033.0845.83201.042890135209800
    • Table 2. RMSE of IMF combinations in many days

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      Table 2. RMSE of IMF combinations in many days

      Combination11.0211.0711.0911.1111.1311.2111.2211.26
      IMF2‒IMF90.0430.1180.1520.2110.0410.0690.0400.073
      IMF3‒IMF90.0680.1140.1610.2120.0620.0850.0650.110
      IMF4‒IMF90.0790.1400.1770.2460.0830.0950.0710.129
      IMF5‒IMF90.0750.2350.1500.2970.0880.0950.0670.136
      IMF6‒IMF90.0710.1530.1420.2970.0860.0940.0680.136
      IMF7‒IMF90.0620.1950.1450.2340.0740.0560.0300.217
    • Table 3. Cross correlation of meteorological elements and Cn2 marginal spectra

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      Table 3. Cross correlation of meteorological elements and Cn2 marginal spectra

      Cross correlation coefficientDaytimeNight
      All scaleslog10T≥2All scaleslog10T≥2
      RCn2 and humidity)0.90120.88930.74930.4992
      RCn2 and temperature)0.84890.73500.72940.6102
      RCn2 and wind speed)0.83570.55200.75500.4554
      R(temperature and wind speed)0.92170.85340.96600.9609
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    Hanjiu Zhang, Gang Sun, Kun Zhang, Yang Wu, Feifei Wang, Xuebin Li, Shengcheng Cui, Qing Liu, Ningquan Weng. Analysis of Near Sea-Surface Optical Turbulence Characters Based on Hilbert-Huang Transform[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1201001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: May. 26, 2021

    Accepted: Jun. 21, 2021

    Published Online: May. 23, 2022

    The Author Email: Gang Sun (gsun@aiofm.ac.cn)

    DOI:10.3788/LOP202259.1201001

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