Estimate of boundary-layer depth over Beijing, China, using doppler lidar data during SURF-2015

Planetary boundary-layer (PBL) structure was investigated using observations from a Doppler lidar and the 325-m Institute of Atmospheric Physics (IAP) meteorological tower in the centre of Beijing during the summer 2015 Study of Urban-impacts on Rainfall and Fog/haze (SURF-2015) field campaign. Using six fair-weather days of lidar and tower data under clear to cloudy skies, we evaluate the ability of the Doppler lidar to probe the urban boundary-layer structure, and then propose a composite method for estimating the diurnal cycle of the PBL depth using the Doppler lidar. For the convective boundary layer (CBL), a threshold method using vertical velocity variance is used, since it provides more reliable CBL depths than a conventional maximum wind-shear method. The nocturnal boundary-layer (NBL) depth is defined as the height at which decreases to 10 % of its near-surface maximum minus a background variance. The PBL depths determined by combining these methods have average values ranging from 270 to 1500 m for the six days, with the greatest maximum depths associated with clear skies. Release of stored and anthropogenic heat contributes to the maintenance of turbulence until late evening, keeping the NBL near-neutral and deeper at night than would be expected over a natural surface. The NBL typically becomes more shallow with time, but grows in the presence of low-level nocturnal jets. While current results are promising, data over a broader range of conditions are needed to fully develop our PBL-depth algorithms.

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Author Huang, Meng
Gao, Zhiqiu
Miao, Shiguang
Chen, Fei
LeMone, Margaret A.
Li, Ju
Hu, Fei
Wang, Linlin
Publisher UCAR/NCAR - Library
Publication Date 2017-03-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:11:05.306521
Metadata Record Identifier edu.ucar.opensky::articles:19531
Metadata Language eng; USA
Suggested Citation Huang, Meng, Gao, Zhiqiu, Miao, Shiguang, Chen, Fei, LeMone, Margaret A., Li, Ju, Hu, Fei, Wang, Linlin. (2017). Estimate of boundary-layer depth over Beijing, China, using doppler lidar data during SURF-2015. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d75t3n90. Accessed 20 May 2025.

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