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LiDAR Measurement Techniques in the Atmospheric Boundary Layer

A Special Issue of Remote Sensing (ISSN 2072-4292) belonging to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 15 October 2026 | Viewed by 1001

Editors


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Guest Editor
Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: coherent doppler LiDAR; aerosol pollution; precipitation; remote sensing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Comm Sens Lab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), 08034 Barcelona, Spain
Interests: wind LiDAR; atmoshperic turbulence; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The atmospheric boundary layer (ABL) controls the exchange of momentum, heat, moisture, and pollutants between the surface and the free atmosphere. Its rapid evolution requires observing techniques that are continuous, highly resolved, and operationally robust. LiDAR has become an important active remote sensing tool for wind profiling, aerosol structure detection, boundary-layer height estimation, and the observation of turbulence and coherent flow features. Recent progress in ABL research is driven by advances in LiDAR system design, scanning strategies, retrieval methods, calibration and validation, and coordinated field observations. These developments improve our ability to characterize boundary-layer structure and dynamics and support applications in meteorology, air quality, and wind energy.

This Special Issue aims to collect original research and review articles on LiDAR measurement techniques for the ABL and related lower-atmospheric processes. In line with the scope of Remote Sensing, the issue emphasizes advances in active atmospheric sensing together with physically meaningful applications. We particularly welcome contributions that link technical innovation with atmospheric interpretation, including retrieval development, uncertainty analysis, intercomparison and validation, and field or operational deployment.

We invite original research articles and comprehensive reviews covering, but not limited to:

  • LiDAR system design, scanning strategies, and observational configurations for boundary-layer studies;
  • Retrieval, calibration, validation, and uncertainty analysis for Doppler, aerosol, and related LiDAR products;
  • High-resolution measurements of turbulence, mixing-layer evolution, low-level jets, convection, wakes, and other ABL structures;
  • Boundary-layer height retrieval and characterization of wind, aerosol, and thermodynamic structure;
  • Multi-LiDAR and multi-sensor observations combining LiDAR with radar, radiometers, UAVs, in situ measurements, or satellite data;
  • Machine learning, signal processing, and quality-control methods that improve LiDAR-based atmospheric retrievals;
  • Intercomparison studies, field campaigns, and validation against masts, radiosondes, aircraft, or reference sensors;
  • Applications of LiDAR observations to numerical weather prediction, air-quality assessment, wind energy, and boundary-layer parameterization.

Dr. Tianwen Wei
Dr. Andreu Salcedo-Bosch
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • atmospheric boundary layer (ABL)
  • LiDAR measurement techniques
  • doppler LiDAR
  • boundary-layer height
  • atmospheric turbulence
  • wind profiling
  • aerosol profiling
  • retrieval methods
  • validation
  • remote sensing
 

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Published Papers (1 paper)

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Research

20 pages, 4859 KB  
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
by Mengya Wang, Tianwen Wei and Haiyun Xia
Remote Sens. 2026, 18(12), 2004; https://doi.org/10.3390/rs18122004 - 16 Jun 2026
Cited by 1 | Viewed by 526
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue LiDAR Measurement Techniques in the Atmospheric Boundary Layer)
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