Spectrum characteristics of multichannel water Raman lidar signals and principal component analysis

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 wavele...

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Bibliographic Details
Published in:Optical review (Tokyo, Japan) Japan), 2010-03, Vol.17 (2), p.84-89
Main Authors: Kim, Dukhyeon, Song, Imkang, Cheong, Hai-Du, Kim, Yonggi, Baik, SungHun, Lee, Jeongsoon
Format: Article
Language:English
Subjects:
Atmospheric optics
Atomic
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Lasers
Microwaves
Molecular
Optical and Plasma Physics
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Quantum Optics
Regular Papers
Remote sensing
lidar and adaptive systems
RF and Optical Engineering
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Summary: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.
ISSN:1340-6000
1349-9432
DOI:10.1007/s10043-010-0015-6