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Proceedings Paper

Differential absorption lidar observation on small-time-scale features of water vapor in the atmospheric boundary layer
Author(s): Wei Kong; Jiatang Li; Hao Liu; Tao Chen; Guanglie Hong; Rong Shu
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Paper Abstract

Observation on small-time-scale features of water vapor density is essential for turbulence, convection and many other fast atmospheric processes study. For the high signal-to-noise signal of elastic signal acquired by differential absorption lidar, it has great potential for all-day water vapor turbulence observation. This paper presents a set of differential absorption lidar at 935nm developed by Shanghai Institute of Technical Physics of the Chinese Academy of Science for water vapor turbulence observation. A case at the midday is presented to demonstrate the daytime observation ability of this system. “Autocovariance method” is used to separate the contribution of water vapor fluctuation from random error. The results show that the relative error is less than 10% at temporal and spatial resolution of 10 seconds and 60 meters in the ABL. This indicate that the system has excellent performance for daytime water vapor turbulence observation.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106050R (15 November 2017); doi: 10.1117/12.2295929
Show Author Affiliations
Wei Kong, Shanghai Institute of Technical Physics (China)
Jiatang Li, Shanghai Institute of Technical Physics (China)
Hao Liu, Shanghai Institute of Technical Physics (China)
Electronic Engineering Institute (China)
Tao Chen, Shanghai Institute of Technical Physics (China)
Guanglie Hong, Shanghai Institute of Technical Physics (China)
Rong Shu, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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