This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) provides $490,525.00 to The Regents of the University of Minnesota, doing business as the Office of Sponsored Projects Administration, to conduct research on stochastic modeling of turbulence over rough surfaces. The goal is to develop a new model that can accurately represent the velocity field and dynamics of near-surface turbulence, which is critical for applications like wind energy and pollution dispersion. The project will involve experiments to map the distribution of uniform momentum zones in 3D and integrate this data into a new stochastic model. The model will then be implemented as a dynamic boundary condition to replace computationally expensive near-surface turbulence simulations in large-scale numerical models of complex atmospheric flows. This award is intended to enable predictive capabilities for turbulent boundary layer flows with minimal input data.