Model for Wind-Related Phenomena Estimation Using Polarization Characteristics of Microwave Radar Signal

Radar Polarimetry is a convenient and promising technique to obtain information about target scattering properties. In this paper, the hydrometeor shape and orientation variations under the dynamic phenomena influence are analyzed to connect polarization radar measurements with atmospheric dynamic processes. The new model to state regularities and to put the interconnections between atmospheric dynamics and polarization characteristics of the reflected radar signal is developed. The model is based on an analysis of two regimes of drop deformation under the wind influence. The first is the regime of subcritical deformation and the second is the regime of critical deformation that leads to the drop's shatter. The developed new model demonstrates the possibility to use polarimetry for estimation of wind and wind-related phenomena and can be used to improve drop size distribution estimate, rainfall intensity estimates as well.