Ice Hydrometeor Shape Estimations Using Polarimetric Operational and Research Radar Measurements

A polarimetric radar method to estimate mean shapes of ice hydrometeors was applied to several snowfall and ice cloud events observed by operational and research weather radars. The hydrometeor shape information is described in terms of their aspect ratios, r , which represent the ratio of particle...

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Bibliographic Details
Published in:Atmosphere
Main Author: Sergey Y. Matrosov
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:https://doi.org/10.3390/atmos11010097
https://doaj.org/article/c3f784476cfb4d90b8c259ba36dd8ba5
Description
Summary:A polarimetric radar method to estimate mean shapes of ice hydrometeors was applied to several snowfall and ice cloud events observed by operational and research weather radars. The hydrometeor shape information is described in terms of their aspect ratios, r , which represent the ratio of particle minor and major dimensions. The method is based on the relations between depolarization ratio (DR) estimates and aspect ratios. DR values, which are a proxy for circular depolarization ratio, were reconstructed from radar variables of reflectivity factor, Z e , differential reflectivity, Z DR , and copolar correlation coefficient ρ hv , which are available from radar systems operating in either simultaneous or alternate transmutation of horizontally and vertically polarized signals. DR- r relations were developed for retrieving aspect ratios and their sensitivity to different assumptions and model uncertainties were discussed. To account for changing particle bulk density, which is a major contributor to the retrieval uncertainty, an approach is suggested to tune the DR- r relations using reflectivity-based estimates of characteristic hydrometeor size. The analyzed events include moderate snowfall observed by an operational S-band weather radar and a precipitating ice cloud observed by a scanning K a -band cloud radar at an Arctic location. Uncertainties of the retrievals are discussed.