Turbulence intensity (TI) is an important factor in wind energy installations. It affects not only the project's safety, performance, and economic feasibility but also the selection of an appropriate turbine class. The assessment of turbulence intensity (TI) usually requires specialized instruments and high-resolution datasets that are not reliably available, especially in limited data areas. Nonetheless, due to the observed correlation between Weibull parameters and TI, it is possible to calculate TI indirectly from these values. In Iraq, Weibull parameter maps are available at typical elevations of 30 m, 50 m, and 100 m (e.g., GEOSUN maps), offering a significant basis for generating identical TI maps at these altitudes. Such an approach offers a practical and scientifically grounded solution to address existing data gaps, thereby supporting more informed planning, assessment, and optimization of wind energy projects. The results provide thematic maps that illustrate the distribution of turbulence intensity at different heights. The resulting maps provide valuable information for wind energy engineers and decision makers. The research recommends incorporating artificial intelligence techniques in the future to improve the accuracy of disturbance prediction. This methodology is particularly important given the global expansion of renewable energy projects.