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<p>Simultaneous, high-resolution measurements of boundary-layer dynamics and thermodynamics remain a longstanding observational challenge. We present a Doppler wind LiDAR–based retrieval that derives virtual potential temperature from TKE-budget buoyancy residuals, enabling concurrent profiling of wind, turbulence, and thermal structure. Field applications in Shenzhen and Beijing demonstrate that the method resolves stable, convective, and low-level-jet layers, capturing turbulence–stability interactions with sub-kelvin accuracy. These findings establish that conventional wind LiDAR can be transformed into a continuous, high-resolution dynamic–thermodynamic profiler for detailed investigation of boundary-layer processes.</p>

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Advancing boundary-layer physics via Doppler wind LiDAR dynamic-thermodynamic profiling

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月3日

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  • Jinhong Xian,
  • Honglong Yang,
  • Zongxu Qiu,
  • Zhan Tian,
  • Lei Li,
  • Jianping Guo,
  • Ning Zhang,
  • Shuai Wang,
  • Pak Wai Chan,
  • Jinyuan Xin,
  • Xiaoling Lin,
  • Laixiang Sun

摘要

Simultaneous, high-resolution measurements of boundary-layer dynamics and thermodynamics remain a longstanding observational challenge. We present a Doppler wind LiDAR–based retrieval that derives virtual potential temperature from TKE-budget buoyancy residuals, enabling concurrent profiling of wind, turbulence, and thermal structure. Field applications in Shenzhen and Beijing demonstrate that the method resolves stable, convective, and low-level-jet layers, capturing turbulence–stability interactions with sub-kelvin accuracy. These findings establish that conventional wind LiDAR can be transformed into a continuous, high-resolution dynamic–thermodynamic profiler for detailed investigation of boundary-layer processes.