Jeongsoon Lee

Publications (2)1.32 Total impact

• Article: Optical depth and multiple scattering depolarization in liquid clouds

  Dukhyeon Kim, Hai Du Cheong, Yonggi Kim, Sergey Volkov, Jeongsoon Lee
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  ABSTRACT: In this paper, we calculate multiply scattered lidar signals with Monte Carlo method for measuring optical depth (extinction coefficient), effective size of water droplets, and liquid water content of clouds, and present algorithms that implement our method. We calculated multiply scattered lidar signals for various water droplet sizes and liquid water contents using a Monte Carlo method. A simple correspondence between water droplet optical depth and the degree of polarization in a modified gamma size distribution (C1 cloud) is found. We also calculated the degree of polarization of a lidar signal for a given liquid water content, finding that the degree of polarization is only dependent on optical depth. Since the Raman lidar signal of liquid water depends on the total volume of the water droplet, the effective radius of the water droplet can thus be recovered from the degree of polarization of the lidar signal and the Raman signal of the liquid water. Keywordsmultiple scattering–remote sensing–depolarization–optical depth–droplet size
  Optical Review 04/2012; 17(6):507-512. · 0.66 Impact Factor
• Article: Spectrum characteristics of multichannel water Raman lidar signals and principal component analysis

  Dukhyeon Kim, Imkang Song, Hai-Du Cheong, Yonggi Kim, SungHun Baik, Jeongsoon Lee
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  ABSTRACT: Using a multichannel full Raman lidar, water Raman signals composed of 32 different Raman wavelengths were obtained, and the time and cloud-height dependences of each spectrum on clear and cloudy days were determined. Although the Raman signals of winter cloud have a higher intensity at short wavelengths than those of summer cloud, these two types of clouds have large overlapping regions in wavelength space. However, in eigenvector space, winter and summer clouds are located at different points and have no overlapping regions. We have suggested that, as a cloud Raman lidar, a multiple-wavelength Raman lidar must be used, and the principal component analysis (PCA) method should be applied to determine the relative amount of each water phase. Keywordsliidar-Raman scattering-liquid water-water vapor-ice water-eigenvector-principal component analysis
  Optical Review 04/2012; 17(2):84-89. · 0.66 Impact Factor