Effective lidar ratio of cirrus cloud measured by three-wavelength lidar

被引：0

作者：

Ji C. ^{[1
,2
,3
,4
]}

Tao Z. ^{[1
,5
]}

Hu S. ^{[1
]}

Zhang X. ^{[1
,2
]}

Liu D. ^{[1
]}

Wang Z. ^{[1
]}

Zhong Z. ^{[1
]}

Xie C. ^{[1
]}

Yuan K. ^{[1
]}

Cao K. ^{[1
]}

Huang J. ^{[1
]}

Wang Y. ^{[1
]}

机构：

[1] Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, Anhui

[2] University of Chinese Academy of Sciences, Beijing

[3] CMA Meteorological Observation Center, Beijing

[4] Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu, 610225, Sichuan

[5] Section of Physics T&R, Department of Basic Sciences Army Officer Academy, Hefei, 230031, Anhui

来源：

Zhongguo Jiguang/Chinese Journal of Lasers | 2016年 / 43卷 / 08期

关键词：

Atmospheric optics; Cirrus cloud; Effective lidar ratio; Extinction characteristics; Lidar;

D O I：

10.3788/CJL201643.0810003

中图分类号：

学科分类号：

摘要：

The simulation study is conducted based on Mie scattering theory as well as the relationship between the cirrus extinction characteristics, the effective lidar ratio and wavelengths. Data of observation is measured to calculate the effective lidar ratios of different wavelengths by three-wavelength lidar system in the western suburbs of Hefei from January 2011 to October 2012. Both the theoretical and experimental results show that in regard to the three wavelengths 355, 532, 1064 nm, the extinction coefficient of cirrus cloud is independent of the wavelengths, and the effective lidar ratio increases as the wavelength increases. The effective lidar ratio of cirrus cloud in Hefei ranges from 10~70 sr, and the mean value of three-wavelength is (21.0±9.3) sr, (29.4±11.7) sr and (38.1±11.4) sr. The effective lidar ratio of cirrus cloud measured by 355 nm wavelength is the lowest in autumn, while that measured by 532 nm and 1064 nm are the highest in autumn. © 2016, Chinese Lasers Press. All right reserved.

引用

页数：7

共 24 条

[1] Goldfarb L., Keckhut P., Chanim M.L., Et al., Cirrus climatological results from lidar measurements at OHP(44°N, 6°E), Geophys Res Lett, 28, 9, pp. 1687-1690, (2001)
[2] Heymsfield A.J., Platt C.M.R., A parameterization of the particle size spectrum of ice clouds in terms of the ambient temperature and the ice water content, J Atmos Sci, 41, 5, pp. 846-855, (1984)
[3] Jensen E.J., Toon O.B., Selkirk H.B., Et al., On the formation and persistence of subvisible cirrus clouds near the tropical tropopause, Journal of Geophysical Research: Atmopheres, 101, D16, pp. 21361-21375, (1996)
[4] Nazaryan H., McCormick M.P., Menzel W.P., Global characterization of cirrus clouds using CALIPSO data, Journal of Geophysical Research: Atmopheres, 113, D16, (2008)
[5] Chen T., Rossow W.B., Zhang Y., Radiative effects of cloud-type variations, J Climate, 13, 1, pp. 264-286, (2000)
[6] Chen T., Zhao Y., Liu D., Et al., Inversion of micro-pulse lidar signals with a new calibration method, Chinese J Lasers, 39, 5, (2012)
[7] Bo G., Liu D., Wang B., Et al., Two-wavelength polarization airborne lidar for observation of aerosol and cloud, Chinese J Lasers, 39, 10, (2012)
[8] Ji C., Zhou J., New calibration method for Fernald forward inversion of airborne lidar signals, Acta Optica Sinica, 29, 8, pp. 2051-2058, (2009)
[9] Liu H., Ge Z., Wang Z., Et al., Extinction coefficient inversion of airborne lidar detecting in low-altitude by Fernald iterative backward integration method (FIBIM), Acta Optica Sinica, 28, 10, pp. 1837-1843, (2008)
[10] Wang X., Song X., Chen Y., Et al., Observation and validation of cloud layer structures from the mobile doppler Lidar and radiosonde during spring in Beijing, Acta Optica Sinica, 35, (2015)

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