Numerical reconstruction of atmospheric boundary layer seasonal turbulent wind field over a complex forest terrain.

The article focuses on improving the modeling of atmospheric boundary layer (ABL) wind characteristics over complex forest terrains by developing a seasonally modified large eddy simulation (LES) method combined with narrow band synthetic random flow generation (NSRFG). It identifies limitations in standard wind terrain parameters for capturing seasonal variations in near-ground turbulent wind fields and proposes new empirical parametric equations for mean wind speed, turbulence intensity, turbulence integral scale, and turbulent spectrum based on field measurements in a forest region of Northeast China. Numerical validations demonstrate that the seasonally adapted LES-NSRFG method more accurately reproduces statistical wind characteristics and flow structures, including vortex dynamics, compared to standard methods. Application of this method to simulate wind effects on the Commonwealth Advisory Aeronautical Research Council (CAARC) high-rise building model reveals significant seasonal impacts on vortex wake behavior, wind pressure distributions, and base moment coefficients, underscoring the necessity of incorporating seasonal wind variations for reliable wind-resistant structural design in forested urban areas.