Model of drop canting in microwave remote sensing of rain

Doppler-polarimetric remote sensing techniques are powerful tools in microwave remote sensing of atmosphere. Combination of polarization. diversity with Doppler measurements opens new possibilities for research microphysics and dynamic processes in clouds and precipitation. Series of new sophisticated models, which relate atmospheric processes with behavior of scatterers´ should be developed for radar data interpretation. It is especially important for mm-band facilities because of their sensitivity to small particles. The calculations and measurements have shown that small particles contribute significantly to the scattered signal from. rain at wavelength of 8 mm and especially of 4 mm and less. That is why well-known Marshall-Palmer dropsize distribution for rain, which is usually used to estimate radar reflectivity in X-band, can lead to errors in mm-band because it exaggerates strongly the number of small particles. This simple example clearly shows that one must be very careful when applying known initial models for mm-band modeling, simulation or data interpretation. In this paper, describing rain drop size distribution N(D), we use a very flexible gamma-distribution