Statistical methods and weather based decision making in meteorological support for unmanned aerial vehicles (UAVs)

Two different methods had been developed to support special UAV applications reducing the weather risk during flights. In our study we explain the analogue method based on climate statistics was applied for the estimation of occurrence of different weather phenomena. As we show the analog weather situations can play an important role in the weather prediction for the UAVs, too. With the help of a case study we demonstrate the usefulness of this method in the visibility prediction. On the other hand in order to determine the optimal UAV flight path an optimal graph theoretical approach had been applied. Described procedures are also illustrated with examples in our present work.