A Computational Study of Polarimetric Radar Observables in Hail

Kultegin Aydin; Yang Zhao

doi:10.1109/TGRS.1990.572906

A Computational Study of Polarimetric Radar Observables in Hail

Kultegin Aydin, Yang Zhao

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41 Scopus citations

Abstract

The effects of melting and shedding of hailstones on various polarimetric and dual-wavelength radar observables are examined. A melting model is used for oblate spheroidal hailstones composed of an ice core and a water coating. Single scattering effects are illustrated using monodisperse size distributions having one particle per cubic meter. Results for exponential size distributions, including a Gaussian canting angle distribution, are also given. It is shown that melting can significantly affect the radar observables and that, by combining several observables, estimating the parameters of an exponential size distribution may be possible.

Original language	English (US)
Pages (from-to)	412-422
Number of pages	11
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	28
Issue number	4
DOIs	https://doi.org/10.1109/TGRS.1990.572906
State	Published - Jan 1 1990

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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10.1109/TGRS.1990.572906

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AB - The effects of melting and shedding of hailstones on various polarimetric and dual-wavelength radar observables are examined. A melting model is used for oblate spheroidal hailstones composed of an ice core and a water coating. Single scattering effects are illustrated using monodisperse size distributions having one particle per cubic meter. Results for exponential size distributions, including a Gaussian canting angle distribution, are also given. It is shown that melting can significantly affect the radar observables and that, by combining several observables, estimating the parameters of an exponential size distribution may be possible.

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JO - IEEE Transactions on Geoscience and Remote Sensing

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A Computational Study of Polarimetric Radar Observables in Hail

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