Optical turbulence information is important because it describes an atmospheric effect that can significantly degrade the performance of electromagnetic systems and sensors, e.g., free-space optical communications and infrared imaging. However, analysis of selected past research indicates that there are some areas (i.e., data and models) in which optical turbulence information is lacking. For example, optical turbulence data coupled with atmospheric characterization models in hilly terrain, coastal areas, and within cities are few in number or non-existent. In addition, the bulk of existing atmospheric computer models being used to provide estimates of optical turbulence (Cn2) intensity are basically one-dimensional in nature and assume uniform turbulence conditions over large areas. As a result, current program codes may be deficient or in error for non-uniform areas, such as environments with changing topography and energy budgets. By exploring alternate (non-similarity) numerical models for momentum, Reynolds stress, and heat flux we suggest that some very practical computational research can be performed to provide better characterization of optical turbulence (Cn2) and related effects beyond current limitations.