Anna Rudiakova

Segregating deformation of scattering rain-drops using several receive antennas with different polarization angles

In this paper, the connection between polarization properties of radar receiveing antennas and deformation/vibration of scattering rain-drops is studied. The mathematical modeling and computer simulation are made to prove that it is possible to influence onto the contribution of a vibration component into the receiving signal by selection of polarization angle of receiving antenna. The results of theoretical background, mathematical modelling and computer simulation are used to prove the relationship between polarization characteristics of the radar signal and atmospheric dynamic phenomena. The results are also useful for better understanding the classical tasks of radar polarimetry including estimating drop size and rainfall intensity.

Simulation of liquid hydrometeors' scattering power distribution in multi-polarization radar

In this paper, we have considered and studied potentials of the multi-polarization radar system. The system allows receiving signal at different polarization angles including principle polarization and orthogonal to principle polarization. The computer model of reflections from vibrating and deformed liquid hydrometeors was developed. The simulation results demonstrated the benefits of the system including better signal-to-noise ratio, possibility to estimate the degree of reflected signal depolarization caused by atmospheric dynamic phenomena, registration of vibrating component by selection of receiving antenna polarization angle.

Multivariate copula approach for polarimetric classification in weather radar applications

The paper presents a multivariate copula approach to identify the dependence between different polarimetric parameters. This approach can be used to develop a new method of invariant polarimetric classification of radar targets. Signals from meteorological target are processed as an example.

Multi-Polarization approach to operative dangerous atmospheric phenomena detection

This paper considers the different atmospheric factors that influence onto liquid hydrometeors that are reflectors of electromagnetic waves. The fact of hydrometeors deformation and a further change of the polarization of sounding wave that leads to the change of frequency and energy characteristics of reflected electromagnetic signal is used in computer simulation to demonstrate the possibility to detect atmospheric turbulence zones using polarimetric radar. Computer simulation results of the processes are presented and analyzed to show the possibility to separate changes of reflected signal caused by turbulence from other factors.

Multi-polarization approach to liquid hydrometeors' vibration discrimination in presence of turbulence

In this paper the possibility to extract information about drops vibration and deformation using the polarization characteristics of electromagnetic wave and receiving antennas are considered. The mathematical expression that demonstrates the impact of drop shape deformation and vibration onto the field reflected from liquid hydrometeor assemble and received by the antenna with arbitrary polarization (k) has been obtained. Results of computer simulation proved the fact vibration component contribution into the received signal can registered by selection of polarization angle of the receiving antenna. Taking into account the physics of atmospheric process the possibility to segregate polarization variation caused by turbulence from other origins is proposed.

Copula simulation of weather radar inputs

This paper presents the copula based simulation of weather radar preprocessed input signals with orthogonal polarizations. The use of copulas allows taking into account their mutual dependence in a straightforward and natural way, because the copula relates exactly to the pure dependence between the marginal distributions.

Spectral polarimetric method for turbulence intensity estimation in rain

In this paper we develop an algorithm for turbulence intensity estimation based on the spectral polarimetrie approach to the remote sensing of rain. The algorithm is compared with traditional Doppler spectrum width estimation; advantages and disadvantages of the two are analyzed, and recommendations for further research and practical applications are made.