Abstract
Scientists and researchers employed Gaussian media turbulence phase screens to find a clear view pocket in the fluid flow control space to enhance remote sensing capabilities, such as AFRL Maui Optical Supercomputing Site (AMOS), in the past two-decade. Some studies have found that fluid flow does not always behave in a Gaussian form; in atmospheric irregular fluid flow events, the turbulence exhibits intermittency. A recent study indicated that the intermittency in the fluid flow had correlated to the Fried parameter and generalized to a log-normal statistical distribution. Refractive Index Structure-Function is an essential parameter of interest to understand the intermittency in fluid flow phenomenon. Concluding that, to simulate phase screens with intermittency, the Refractive Index Structure Function must be changed depending on conditions for fluid flow intermittent data set, consequently changing the Fried Parameter to irregular behavior. Comparisons on this assumption will be addressed and implemented in this paper with new phase screens to enhance AMOS capabilities in intermittent events found in atmospheric turbulence. This study has compared advantages and disadvantages between generalizations and expensive numerical simulations to determine the tradeoffs between computational cost versus accuracy in numerical calculations of remote sensing laser propagation.
