Lidar probing the urban nocturnal boundary layer

T. M. Mok; Kang Ming Leung; Aaron HoPui Ho; Johnny C. L. Chan; Chung Tat Ng

doi:10.1117/12.319565

19 August 1998 Lidar probing the urban nocturnal boundary layer

T. M. Mok, Kang Ming Leung, Aaron HoPui Ho, Johnny C. L. Chan, Chung Tat Ng

Proceedings Volume 3504, Optical Remote Sensing for Industry and Environmental Monitoring; (1998) https://doi.org/10.1117/12.319565
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

Lidar observations to study the nocturnal boundary layer in the atmosphere were made on selected evenings during December 1997 - March 1998 at the City University of Hong Kong (lat. 20 degree(s)20'6', long. 114 degree(s)10'18', at 57 m AMSL), Hong Kong. The ground-based Nd:YAG lidar has been operated to detect the vertical distribution of aerosols in the NBL at a subtropical urban site. It is shown that the vertical relative signal profiles can be employed to determine the heights of the single or multiple nocturnal inversions. In a clear sky and light wind evening transition period, the strong radiative cooling caused the air near the ground becomes stably stratified. The nocturnal inversion starts to emerge soon before sunset and grows vertically as the night progresses. The study also showed that the temporal evolution of the nocturnal inversion depth was rapidly increased soon after sunset and a slower rate in the midnight hours. The results of the study indicate that the vertical aerosol distribution in the multiple-layer is more complicated than that in the single-layer, of NBL. The early morning transition of the NBL is also discussed. A comparison of the lidar aerosol signals and radiosonde measurements was performed to evaluate the consistency of observations between the different systems.

Citation Download Citation

T. M. Mok, Kang Ming Leung, Aaron HoPui Ho, Johnny C. L. Chan, and Chung Tat Ng "Lidar probing the urban nocturnal boundary layer", Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); https://doi.org/10.1117/12.319565

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