Performance of the Hail Differential Reflectivity (HDR) Polarimetric Radar Hail Indicator

Author:

Depue Tracy K.1,Kennedy Patrick C.2,Rutledge Steven A.2

Affiliation:

1. Northrop Grumman Information Technology, Albuquerque, New Mexico

2. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

Abstract

Abstract A series of poststorm surveys were conducted in the wake of hailstorms observed by the Colorado State University–University of Chicago–Illinois State Water Survey (CSU-CHILL) S-Band polarimetric radar. Information on hail characteristics (maximum diameter, building damage, apparent hailstone density, etc.) was solicited from the general-public storm observers that were contacted during the surveys; the locations of their observations were determined using GPS equipment. Low-elevation angle radar measurements of reflectivity, differential reflectivity ZDR, and linear depolarization ratio (LDR) were interpolated to the ground-observer locations. Relationships between the hail differential reflectivity parameter HDR and the observer-reported hail characteristics were examined. It was found that HDR thresholds of 21 and 30 dB were reasonably successful (critical success index values of ∼0.77) in respectively identifying regions where large (>19 mm in diameter) and structurally damaging hail were observed. The LDR characteristics in the observed hail areas were also examined. Because of sensitivities to variations in the hailstone bulk ice density, degree of surface wetness, and shape irregularities, the basic correlation between LDR magnitude and hail diameter was poor. However, when the reported hail diameters exceeded ∼25 mm, LDR levels below ∼−24 dB were uncommon.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference29 articles.

1. A computational study of polarimetric radar observables in hail.;Aydin;IEEE Trans. Geosci. Remote Sens.,1990

2. Remote sensing of hail with a dual-linear polarization radar.;Aydin;J. Climate Appl. Meteor.,1986

3. Use of polarization to characterize precipitation and discriminate large hail.;Balakrishnan;J. Atmos. Sci.,1990

4. A new model for the equilibrium shape of raindrops.;Beard;J. Atmos. Sci.,1987

5. Brandes, E. A., and J.Vivekanandan, 1998: An exploratory study in hail detection with polarimetric radar. Preprints, 14th Conf. on Interactive Information and Processing Systems for Meteorology, Oceanography and Hydrology, Phoenix, AZ, Amer. Meteor. Soc., 287–290.

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