Seasonal and Diurnal Variations of Wind Fields, Low-Level Jets, and Mixing-Layer Height over Beijing Based on One-Year Doppler Wind Lidar Observations

Understanding the dynamics of the urban atmospheric boundary layer is critical for accurate meteorological and air quality modeling. Utilizing one year of continuous Doppler wind lidar observations, this study investigates the seasonal and diurnal variability of wind fields, low-level jets (LLJs), and mixing-layer height (MLH) at an urban site in Beijing. Results show that horizontal winds are strongest in winter and spring and weaker in summer, with northwesterly flow dominating in winter and more diverse patterns in summer, while the corrected vertical-velocity distributions show seasonally varying structures and are interpreted cautiously as frequency-distribution characteristics. A distinct diurnal phase reversal in wind speed is identified near 0.3 km. LLJs occur predominantly at night, with core heights descending from 1.2–1.6 km in winter to 0.6–0.8 km in summer, and are associated with enhanced vertical shear. MLH reaches its deepest development in spring, with clear-sky peaks exceeding 1.5 km, while summer growth is comparatively limited and is associated with stronger latent heat partitioning. These findings indicate that wind fields, LLJs, and MLH exhibit coherent seasonal and diurnal covariations, while their direct causal relationships require further process-oriented analysis. This study provides a year-long observational basis for evaluating urban ABL parameterizations.

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Publication Details

Journal
Remote Sensing
Published
2026-06-16
DOI
https://doi.org/10.3390/rs18122004
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

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article

Seasonal and Diurnal Variations of Wind Fields, Low-Level Jets, and Mixing-Layer Height over Beijing Based on One-Year Doppler Wind Lidar Observations

Tianwen Wei, Mengya Wang, Haiyun Xia
Remote Sensing
Meteorological Phenomena and Simulations
article

Seasonal and Diurnal Variations of Wind Fields, Low-Level Jets, and Mixing-Layer Height over Beijing Based on One-Year Doppler Wind Lidar Observations

Tianwen Wei, Mengya Wang, Haiyun Xia
article en

Abstract

Understanding the dynamics of the urban atmospheric boundary layer is critical for accurate meteorological and air quality modeling. Utilizing one year of continuous Doppler wind lidar observations, this study investigates the seasonal and diurnal variability of wind fields, low-level jets (LLJs), and mixing-layer height (MLH) at an urban site in Beijing. Results show that horizontal winds are strongest in winter and spring and weaker in summer, with northwesterly flow dominating in winter and more diverse patterns in summer, while the corrected vertical-velocity distributions show seasonally varying structures and are interpreted cautiously as frequency-distribution characteristics. A distinct diurnal phase reversal in wind speed is identified near 0.3 km. LLJs occur predominantly at night, with core heights descending from 1.2–1.6 km in winter to 0.6–0.8 km in summer, and are associated with enhanced vertical shear. MLH reaches its deepest development in spring, with clear-sky peaks exceeding 1.5 km, while summer growth is comparatively limited and is associated with stronger latent heat partitioning. These findings indicate that wind fields, LLJs, and MLH exhibit coherent seasonal and diurnal covariations, while their direct causal relationships require further process-oriented analysis. This study provides a year-long observational basis for evaluating urban ABL parameterizations.

Remote SensingVol. 18(12)
Nanjing University of Information Science and Technology (CN)
Nanjing University of Information Science and Technology, Nanjing University
Sustainable cities and communities
Openalex Percentile: Top 7%
Meteorological Phenomena and Simulations
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