Microwave Doppler-polarimetric technique for study of turbulence in precipitation

Multivariate copula approach for polarimetric classification in weather radar applications

“…The reflectivity, differential reflectivity, crosscorrelation coefficient, specific differential phase, etc. are used for discrimination between the several classes of weather radar echo [1,5]. However, the most of classification algorithms are based on the principles of fuzzy logic [6][7][8].…”

Signal processing for DDV estimation

“…Mathematical models of Doppler polarimetric radar signals and spectra were developed by [4], [5], [6]. Phenomenological and mathematical aspects of the relationships between different Doppler polarimetric measurable variables and parameters of the object under observation, such as its microstructure and dynamic properties of scatterers inside the resolution volume, were considered in [7], [8].…”

Phenomenological models of Doppler-polarimetric microwave remote sensing of clouds and precipitation

“…For researching the relationship between the intensity of precipitation and radar echo the model [1] was used. It takes into consideration the polarization properties of radar signal, reflected from the ensemble of raindrops as a function of their speed.…”

“…Some of the models were developed [1] as a part of joint project of the International Research Centre for Telecommunications and Radar (IRCTR) at the Delft University of Technology (The Netherlands) and the National Aviation University (Kiev, Ukraine). These models are very useful for data analysis and interpretation especially for CW FM atmospheric radars like DARR and TARA [2].…”