Wang et al. (2026) Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions

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Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-01-16
• Authors: Chen Wang, Zhifeng Shu, Lu Yang, Hui Wang, Chang Cao, Yuxing Hou, Shenghuan Wen
• DOI: 10.3390/rs18020296

Research Groups

Research conducted at Beijing Southern Suburb station.

Short Summary

This study assesses the consistency and applicability of three atmospheric boundary layer height (BLH) retrieval methods using multi-source remote sensing data during autumn–winter 2023. The methods show good overall consistency but distinct responses under varying meteorological conditions, demonstrating their complementary nature for comprehensive BLH evaluation.

Objective

• To investigate the consistency and applicability of three atmospheric boundary layer height (BLH) retrieval methods (Haar wavelet covariance transform, vertical velocity variance, and parcel methods) using multi-source remote sensing observations at Beijing Southern Suburb station during autumn–winter 2023.

Study Configuration

• Spatial Scale: Point observation at Beijing Southern Suburb station.
• Temporal Scale: Autumn–winter 2023; 10-minute averages.

Methodology and Data

• Retrieval Methods used: Haar wavelet covariance transform (HWCT), vertical velocity variance (Var), and parcel methods.
• Data sources: Doppler wind lidar (DWL), microwave radiometer (MWR).

Main Results

• Good overall consistency was observed among the three BLH retrieval methods.
• The strongest correlation (R = 0.62) was found between the HWCT and Var methods.
• The parcel method exhibited an average systematic positive bias of 0.4–0.6 km compared to the other methods.
• Under clear-sky conditions, HWCT effectively captured aerosol gradients.
• HWCT failed under cloud contamination.
• The Var method effectively reflected turbulent dynamics but required adaptive thresholds.
• The Parcel method robustly described thermodynamic evolution of the boundary layer.
• The three methods are complementary, capturing the material, dynamic, and thermodynamic characteristics of the boundary layer.

Contributions

• Provides a comprehensive framework for evaluating atmospheric boundary layer height variability.
• Improves multi-sensor retrieval capabilities for BLH under diverse meteorological conditions.
• Demonstrates the complementary strengths of different BLH retrieval methods (material, dynamic, thermodynamic).

Funding

• Not specified in the provided text.

Citation

@article{Wang2026Retrieving,
  author = {Wang, Chen and Shu, Zhifeng and Yang, Lu and Wang, Hui and Cao, Chang and Hou, Yuxing and Wen, Shenghuan},
  title = {Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18020296},
  url = {https://doi.org/10.3390/rs18020296}
}