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

delete2026-08-03
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OA
AI
J
Jinhong Xian
Z
Zongxu Qiu
田展 (Zhan Tian)
L
Lei Li
J
Jianping Guo
N
Ning Zhang
S
Shuai Wang
P
Pak Wai Chan
J
Jinyuan Xin
X
Xiaoling Lin
L
Laixiang Sun *
DOI:10.1038/s41612-026-01494-6delete
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Abstract

Abstract

En 中文
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.

Journal

npj Climate and Atmospheric Science cover
npj Climate and Atmospheric Science
IF:
8.4
Papers:
1.5K
Citations:
5.4K

Organization

D
Department of Geography and Spatial Sciences
Scholars:
4
Papers: 4
Citations: 0
D
Department of Environmental Science and Engineering
Scholars:
47
Papers: 20
Citations: 0
S
Sun Yat-Sen University
Scholars:
7.9K
Papers: 2.1K
Citations: 0
S
State Key Laboratory of Severe Weather
Scholars:
20
Papers: 18
Citations: 0
M
Meteorological Bureau of Shenzhen Municipality
Scholars:
13
Papers: 6
Citations: 98
S
School of Atmospheric Sciences
Scholars:
99
Papers: 49
Citations: 0
U
university of maryland
Scholars:
4.0K
Papers: 2.0K
Citations: 1
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