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

Authors :
Micael A. Cecchini
Andrew J. Heymsfield
Ryan Honeyager
Paul Field
Luiz A. T. Machado
Maria A. F. da Silva Dias
Source :
Journal of the Atmospheric Sciences. 79:1927-1940
Publication Year :
2022
Publisher :
American Meteorological Society, 2022.

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.

Subjects

Subjects :
Atmospheric Science

Details

ISSN :
15200469 and 00224928
Volume :
79
Database :
OpenAIRE
Journal :
Journal of the Atmospheric Sciences
Accession number :
edsair.doi...........76baf4755517e44bd063edf7c42abf35
Full Text :
https://doi.org/10.1175/jas-d-20-0373.1