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Doppler-Polarimetric Approach to Microwave Remote Sensing of Precipitation

Felix J. Yanovsky

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Abstract

This study has shown that considered Doppler and polarization parameters of radar signal contain information on rain microstructure and turbulence intensity in weather object. The differential Doppler velocity of raindrops carries the important information on microstructure of rain and can be used in order to measure the rain intensity. However turbulence decreases this effect and should be taken into consideration as well. Application of independent turbulence-related variables can improve the reliability and accuracy of radar measurements in rain. Measurements of weather objects by Doppler-polarimetric radar can be very useful to solve wave propagation problems for the tasks of microwave remote sensing, communications and the radar's ability to detect targets embedded in high clutter background.

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What this paper is about

This study has shown that considered Doppler and polarization parameters of radar signal contain information on rain microstructure and turbulence intensity in weather object. The differential Doppler velocity of raindrops carries the important information on microstructure of rain and can be used in order to measure the rain intensity. However turbulence decreases this effect and should be taken into consideration as well. Application of independent turbulence-related variables can improve the reliability and accuracy of radar measurements in rain. Measurements of weather objects by Doppler-polarimetric radar can be very useful to solve wave propagation problems for the tasks of microwave remote sensing, communications and the radar's ability to detect targets embedded in high clutter background.

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Available abstract

This study has shown that considered Doppler and polarization parameters of radar signal contain information on rain microstructure and turbulence intensity in weather object. The differential Doppler velocity of raindrops carries the important information on microstructure of rain and can be used in order to measure the rain intensity. However turbulence decreases this effect and should be taken into consideration as well. Application of independent turbulence-related variables can improve the reliability and accuracy of radar measurements in rain. Measurements of weather objects by Doppler-polarimetric radar can be very useful to solve wave propagation problems for the tasks of microwave remote sensing, communications and the radar's ability to detect targets embedded in high clutter background.

Key concepts: Remote sensing, Doppler radar, Radar, Doppler effect, Weather radar, Pulse-Doppler radar, Polarimetry, Clutter

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