Optimizing atmospheric turbulence predictions for optical links and astronomical observations by an instrumented drone

The prediction of the atmospheric and turbulence conditions holds considerable importance for both the astronomical community and free space optical telecommunications. To address these challenges, a numerical approach based on the Weather Research and Forecasting (WRF) model, coupled with an optical turbulence model, has been used for predictions above the Calern site. In earlier publications, our team demonstrated that the results of the predictions have shown good agreement compared to measurements from the Calern Atmospheric Turbulence Station (CATS). However, a disparity persists within the first 500 meters of the atmosphere. To enhance the accuracy of the ground layer predictions, an optimization process is being implemented. We have employed an unmanned aircraft system (UAS) equipped with a nacelle containing instruments to measure the meteorological parameters, within the first 500 meters above the ground. The obtained data will enhance initial simulation conditions, leading to an improvement in the turbulence prediction.