Preprints
https://doi.org/10.5194/egusphere-2025-157
https://doi.org/10.5194/egusphere-2025-157
05 Feb 2025
 | 05 Feb 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Characteristics of Boundary Layer Turbulence Energy Budget in Shenzhen Area Based on Coherent Wind Lidar Observations

Jinhong Xian, Zongxu Qiu, Huayan Rao, Zhigang Cheng, Xiaoling Lin, Chao Lu, Honglong Yang, and Ning Zhang

Abstract. Due to the limitations of observations with meteorological towers and aircraft, there is a lack of research on the vertical characteristics of the atmospheric boundary layer in relation to the budget terms of turbulence kinetic energy (TKE). This study reveals the seasonal characteristics of the TKE budget and processes in Shenzhen using long-term observational data from coherent wind lidar. We found that the TKE variations in the region transition in behavior around 14:00 local time, mainly because of changes in buoyancy generation. We determined that TKE is strongest in summer and has the highest impact at high altitudes in autumn in Shenzhen. Our results indicate that above 360 m, the daytime turbulent transport term in all seasons is positive, contributing up to 20 % of the total TKE budget, and the dissipation rate term is t is the only factor that dominates energy dissipation. We also found seasonal differences in the vertical characteristics of the dissipation rate in the region, with maximum values observed near the ground during spring, summer, and autumn. Our results indicate that near the ground, buoyancy is the main generation process of TKE, contributing up to 60 % of the total budget. Above 570 m, the role of shear generation gradually becomes more prominent, comparable to buoyancy generation. These findings not only enrich our understanding of the vertical structure of atmospheric turbulence, but also provide new observational data and theoretical support for the parameterization of the turbulence energy budget in climate models, which can help improve atmospheric predictions.

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Jinhong Xian, Zongxu Qiu, Huayan Rao, Zhigang Cheng, Xiaoling Lin, Chao Lu, Honglong Yang, and Ning Zhang

Status: open (until 19 Mar 2025)

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Jinhong Xian, Zongxu Qiu, Huayan Rao, Zhigang Cheng, Xiaoling Lin, Chao Lu, Honglong Yang, and Ning Zhang
Jinhong Xian, Zongxu Qiu, Huayan Rao, Zhigang Cheng, Xiaoling Lin, Chao Lu, Honglong Yang, and Ning Zhang

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Short summary
We studied how turbulence kinetic energy (TKE) changes in the lower atmosphere over Shenzhen, focusing on its role in weather and climate. Using advanced wind lidar technology, we tracked how TKE varies with height and across seasons. We found that heat near the ground drives turbulence, while wind effects become stronger higher up. Our results help improve weather and climate models by providing better data on how turbulence behaves in the atmosphere, aiding understanding of climate change.
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