Measuring and modeling of hazardous weather phenomena to aviation using the Hungarian Unmanned Meteorological Aircraft System (HUMAS)

摘要

At present, Unmanned Aircraft Systems (UAS) are playing more and more significant role in military and civil operations in Hungary. A well-used meteorological support system is essential during the planning and executing phases of different UAS missions. In the present work, the structure of an applied analog statistical and a WRF-based numerical forecast system is to be introduced with special regards to aviation meteorological factors, such as visibility, ceiling, turbulence, icing, etc. Within such a system, it is very important to generate an accurate short-time visibility prediction. In order to develop such forecasts, we combined an analogy based statistical approach to a high-resolution numerical model for visibility prediction, which are currently available as a hybrid visibility prediction for the regions of four main airports in Hungary. On the other hand, we also present the first Hungarian Unmanned Meteorological Aircraft System (HUMAS). In our case study, the HUMAS measurements are compared to dynamical weather prediction data during the international planetary boundary layer (PBL) campaign in Szeged, Hungary.