Revisiting the Hail Radar Reflectivity–Kinetic Energy Flux Relation by Combining T-Matrix and Discrete Dipole Approximation Calculations to Size Distribution Observations

Author:

Cecchini Micael A.12,Heymsfield Andrew J.3,Honeyager Ryan4,Field Paul56,Machado Luiz A. T.17,Dias Maria A. F. da Silva1

Affiliation:

1. a Universidade de São Paulo, São Paulo, Brazil

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

3. b National Center for Atmospheric Research, Boulder, Colorado

4. c University Corporation for Atmospheric Research, College Park, Maryland

5. d Met Office, Exeter, United Kingdom

6. e Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom

7. f Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany

Abstract

Abstract The retrieval of hail kinetic energy with weather radars or its simulation in numerical models is challenging because of the shape complexity and variable density of hailstones. We combine 3D scans of individual hailstones with measurements of the particle size distributions (PSD) and T-matrix calculations to understand how hail reflectivity Z changes when approximating hailstones as spheroids, as compared to the realistic shapes obtained by 3D scanning technology. Additionally, recent terminal velocity relations are used to compare Z to the hail kinetic energy flux . We parameterize the hail backscattering cross sections at L, S, C, and X bands as a function of size between 0.5 and 5.0 cm, matching the range of the observed PSDs. The scattering calculations use the T-matrix method for size parameters below 1.0 and the discrete dipole approximation (DDA) method otherwise. The DDA calculations are done for 48 digital models of realistic hailstones of sizes between 1 and 5 cm. The DDA cross sections are calculated for multiple orientations and averaged assuming a fully random orientation distribution to provide a single value per hailstone. The T-matrix reflectivity assuming solid ice spheres presents negligible differences to DDA results for size parameters below 1.0. Therefore, T matrix was used to fill in the gaps left by the DDA calculations. The results are mapped to the same size bins of the observed PSDs, allowing the calculation of the radar reflectivity. This is then correlated to , allowing a potential improvement of past retrieval methods of from Z in multiple wavelengths.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference58 articles.

1. American Meteorological Society, 2022: Hail. Glossary of Meteorology, http://glossary.ametsoc.org/wiki/Hail.

2. The shape of Alberta hailstones;Barge, B. L.,1973

3. A general hydrodynamic theory for mixed-phase microphysics. Part I: Drag and fall speed of hydrometeors;Böhm, J. P.,1992

4. Evaluating hail damage using property insurance claims data;Brown, T. M.,2015

5. The oblateness of large hailstones;Browning, K. A.,1967

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