Abstract:The boundary layer is a critical region in the atmosphere for the transport of momentum, heat, and matter, and its meteorological variations are essential for understanding convective processes. Using sounding data from rotary-wing unmanned aerial vehicles (UAVs), lidar measurements, and wind tower observations, a comparative analysis was conducted, and the mesoscale meteorological model WRF was employed to simulate and validate the accuracy of the observational and modeled results. The study found that increased forest cover enhances surface roughness, reduces near-surface wind speed, and disrupts vertical mixing, resulting in a clear wind speed gradient. During the daytime, solar heating and plant transpiration increase near-surface relative humidity, raising the boundary layer height to approximately 900m, with air temperatures reaching 18°C and relative humidity dropping to 35%, indicating vertical mixing. At night, radiative cooling and canopy shielding accelerate surface cooling, forming an inversion layer, suppressing turbulence, increasing relative humidity to over 50%, and lowering the boundary layer height to 100~200m, resulting in a stable layer. The WRF model’s simulations of temperature, relative humidity, and boundary layer height closely matched the observational results, demonstrating the accuracy of high-resolution numerical models in simulating low-level boundary layer meteorological elements in regions with complex terrain. These findings provide important scientific insights for understanding the characteristics of the boundary layer under plateau complex terrain conditions and its response to climate change.