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Article

Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019

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Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China
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Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong 999077, China
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Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong 999077, China
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School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210000, China
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Hong Kong Observatory, Hong Kong 999077, China
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State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(9), 1533; https://doi.org/10.3390/rs12091533
Received: 24 April 2020 / Revised: 6 May 2020 / Accepted: 7 May 2020 / Published: 11 May 2020
Turbulent mixing is critical in affecting urban climate and air pollution. Nevertheless, our understanding of it, especially in a cloud-topped boundary layer (CTBL), remains limited. High-temporal resolution observations provide sufficient information of vertical velocity profiles, which is essential for turbulence studies in the atmospheric boundary layer (ABL). We conducted Doppler Light Detection and Ranging (LiDAR) measurements in 2019 using the 3-Dimensional Real-time Atmospheric Monitoring System (3DREAMS) to reveal the characteristics of typical daytime turbulent mixing processes in CTBL over Hong Kong. We assessed the contribution of cloud radiative cooling on turbulent mixing and determined the altitudinal dependence of the contribution of surface heating and vertical wind shear to turbulent mixing. Our results show that more downdrafts and updrafts in spring and autumn were observed and positively associated with seasonal cloud fraction. These results reveal that cloud radiative cooling was the main source of downdraft, which was also confirmed by our detailed case study of vertical velocity. Compared to winter and autumn, cloud base heights were lower in spring and summer. Cloud radiative cooling contributed ~32% to turbulent mixing even near the surface, although the contribution was relatively weaker compared to surface heating and vertical wind shear. Surface heating and vertical wind shear together contributed to ~45% of turbulent mixing near the surface, but wind shear can affect up to ~1100 m while surface heating can only reach ~450 m. Despite the fact that more research is still needed to further understand the processes, our findings provide useful references for local weather forecast and air quality studies. View Full-Text
Keywords: turbulent mixing; cloud; LiDAR; Hong Kong turbulent mixing; cloud; LiDAR; Hong Kong
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MDPI and ACS Style

Huang, T.; Yim, S.H.-l.; Yang, Y.; Lee, O.S.-m.; Lam, D.H.-y.; Cheng, J.C.-h.; Guo, J. Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019. Remote Sens. 2020, 12, 1533. https://doi.org/10.3390/rs12091533

AMA Style

Huang T, Yim SH-l, Yang Y, Lee OS-m, Lam DH-y, Cheng JC-h, Guo J. Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019. Remote Sensing. 2020; 12(9):1533. https://doi.org/10.3390/rs12091533

Chicago/Turabian Style

Huang, Tao, Steve H.-l. Yim, Yuanjian Yang, Olivia S.-m. Lee, David H.-y. Lam, Jack C.-h. Cheng, and Jianping Guo. 2020. "Observation of Turbulent Mixing Characteristics in the Typical Daytime Cloud-Topped Boundary Layer over Hong Kong in 2019" Remote Sensing 12, no. 9: 1533. https://doi.org/10.3390/rs12091533

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