15 November 2017 Differential absorption lidar observation on small-time-scale features of water vapor in the atmospheric boundary layer
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106050R (2017) https://doi.org/10.1117/12.2295929
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
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.
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Wei Kong, Wei Kong, Jiatang Li, Jiatang Li, Hao Liu, Hao Liu, Tao Chen, Tao Chen, Guanglie Hong, Guanglie Hong, Rong Shu, Rong Shu, } "Differential absorption lidar observation on small-time-scale features of water vapor in the atmospheric boundary layer", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106050R (15 November 2017); doi: 10.1117/12.2295929; https://doi.org/10.1117/12.2295929
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