Researchers have developed a new methodology to study the atmospheric boundary layer (ABL) using a dynamic-thermodynamic profiling based on Doppler wind LiDAR. This approach allows for continuous, high-resolution temporal and spatial profiles of key parameters such as temperature, humidity, and wind speed within the ABL, a critical region for meteorological and climatic processes.

Traditionally, ABL characterization has relied on point measurements or remote sensing with limited resolution. The novelty of this work lies in the integration of Doppler wind LiDAR data, which measures wind speed, with advanced thermodynamic models. This enables the inference of temperature and humidity profiles with unprecedented accuracy, overcoming the limitations of previous methods and opening new avenues for understanding the complex dynamics of this atmospheric layer.

The results of this research demonstrate the feasibility and effectiveness of the technique for monitoring the evolution of the ABL under various weather conditions. The ability to obtain detailed data continuously is crucial for improving short-term weather forecasts, climate modeling, and understanding atmospheric pollutant dispersion. This advance represents a significant step in atmospheric physics, providing a robust tool for future research and operational applications.