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

作者：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 · 发表于：npj Climate and Atmospheric Science · 年份：2026 · DOI：10.1038/s41612-026-01494-6 · 研究领域：Meteorological Phenomena and Simulations、Ocean Waves and Remote Sensing、Fluid Dynamics and Turbulent Flows

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.