Identification of the Meteorological Objects on Doppler-Polarimetric Radar Data by using Fuzzy Logic Based Algorithm

This article deals with the process of identification of dangerous meteorological objects. Zones of aircraft icing-in-flight and atmosphere turbulence are among them. Hydrometeors, such as water droplets and ice crystals, scatter incident electromagnetic waves (EMW). In common case, Doppler-polarimetric variables of backscattered electro-magnetic field depend on the velocity, shape, size, orientation, and type of the scatterers. The problem of simulation of EMW scattering on hydrometeors is rather difficult because a lot of different parameters of scatterers and conditions of sounding should be taken into account. This research does not claim to comprehensive description of all possible solutions of this problem. The key point of this paper is placed on the possibility of polarimetric weather radar to determine the type of hydrometeors in case of homogeneous medium (scatterers of one type) and in case of mixture of different types of scatterers in an ensemble of hydrometeors. The possibility to determine quantitatively the ratio of two types of hydrometeors is also a subject of consideration in this research. This item is especially important for providing flight safety by using both ground-based and airborne weather radars; it can be used particularly, for remote detection probable icing-in-flight zones to prevent icing-in-flight of modern aircrafts