Investigating Humidity Gradient Detection Using Bragg Scatter

In real time and within a volume of space, humidity weather data is not readily available to all parts of the globe. Radar has the potential to provide such data. The ability to identify sharp changes in the refractive index is a first step in solving the larger issue of humidity. Using real weather data outputs from a large-eddy simulator (LES), a code was created to convert the data outputs into inputs for a passive multistatic radar simulator in an attempt to identify where fluctuations in the refractive index occur. The LES to radar conversion code, used for identification of refractive index, and potential for the success of the simulation are investigated.