Atmospheric Boundary Layer Dynamics and Measurements
Summary
The atmospheric boundary layer (ABL) is the lowest portion of the troposphere where surface–atmosphere exchanges of momentum, heat and mass control weather, air quality and climate processes. Its depth and structure are governed by diurnal heating, surface roughness, topography and synoptic forcing, leading to distinct convective, stable and neutral regimes. Within the ABL, turbulent eddies mix pollutants and moisture, influence cloud formation and modulate surface temperature and wind profiles. Accurate determination of the planetary boundary layer height (PBLH) is essential for forecasting pollution episodes, predicting convection initiation and constraining climate models. Traditional radiosonde soundings provide high‐vertical‐resolution profiles but lack temporal continuity, while remote sensors such as lidar and ceilometer offer continuous monitoring of aerosol and turbulence features. Numerical reanalyses deliver global coverage but may exhibit biases in complex terrain or under stratified conditions. Recent advances combine machine learning, enhanced retrieval algorithms and multi‐instrument fusion to produce high‐resolution PBLH datasets, refine stability parameterisations and improve model verification. These developments enhance understanding of ABL variability from urban centres to polar regions and support applications ranging from air quality management to renewable energy siting.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Atmospheric Boundary Layer Dynamics and Measurements publication trend
The graph below shows the total number of articles in atmospheric boundary layer dynamics and measurements across all publications each year (not limited to Nature Index journals).
Technical terms
Atmospheric Boundary Layer (ABL): The lowest part of the atmosphere directly influenced by the Earth’s surface where turbulent mixing of momentum, heat and mass occurs.
Planetary Boundary Layer Height (PBLH): The altitude marking the top of the boundary layer, above which turbulence sharply decreases.
Radiosonde: A balloon‐borne instrument package that measures vertical profiles of temperature, humidity, pressure and wind.
Reanalysis: A consistent historical dataset produced by assimilating observations into a numerical weather prediction model.
Lidar: An active remote‐sensing system employing laser pulses to retrieve vertical profiles of atmospheric backscatter and turbulence.
Richardson number: A dimensionless index quantifying atmospheric stability by comparing buoyancy and wind shear forces.
References
- A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS. Earth System Science Data (2024).
- The characteristics of atmospheric boundary layer height over the Arctic Ocean during MOSAiC. Atmospheric Chemistry and Physics (2023).
- The Influence of the Planetary Boundary Layer on the Atmospheric State at an Orographic Site at the Eastern Mediterranean. Tellus B (2024).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.