Spectrum characteristics of multichannel water Raman lidar signals and principal component analysis |
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Authors: | Dukhyeon Kim Imkang Song Hai-Du Cheong Yonggi Kim SungHun Baik Jeongsoon Lee |
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Institution: | 4. College of Humanities and Sciences, Hanbat National University, Daejeon, 305-719, Korea 1. Department of Physics, Kongju National University, Gongju, 314-701, Korea 2. Laboratory for Quantum Optics, Daejeon, 305-600, Korea 3. Environment Measurement Group, Korea Research Institute of Standard and Science (KRISS), Daejeon, 305-600, Korea
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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. |
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