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Observations of oblate hail using dual polarization radar and implications for hail‐detection schemes
Author(s) -
Smyth T. J.,
Blackman T. M.,
Illingworth A. J.
Publication year - 1999
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.49712555512
Subject(s) - oblate spheroid , radar , remote sensing , polarization (electrochemistry) , geology , dual (grammatical number) , meteorology , dual polarization interferometry , environmental science , geodesy , physics , computer science , telecommunications , classical mechanics , chemistry , art , literature , antenna (radio)
Coincidental radar measurements and in situ ground‐truth observations of large, oblate hail has allowed new insights into the fall mode of oblate hailstones. the effect of the fall mode upon hail‐detection algorithms using multi‐parameter radar is investigated and discussed, as is the vexed problem of extracting realistic rainfall rates in regions where hail and rain coexist. Observations presented here show that oblate hail can be associated with nonzero values of differential reflectivity, Zdr, which, together with the coincidental values of the linear depolarization ratio, suggest some degree of alignment. Although large hail can dominate backscatter through the diameter‐to‐the‐sixth‐power dependence, even if it is aligned it makes a negligible contribution to specific differential phase, K dp. Rainfall rates extracted using K dp in the presence of hail are more robust than those using the contaminated reflectivity in the horizontal polarization, Z h, and Zdr measurements, but proposed hail‐detection algorithms which compare the observed values of K dp and Z h do seem error prone. the hailstones measured in this study were of sufficient dimensions to allow Mie scattering to occur at S‐band (wavelength λ = 9.75 cm). This served to complicate the interpretation of the differential‐phase measurements. A new hail‐detection algorithm has been formulated which compares the differential phase predicted from Z h and Z dr with that actually observed. This avoids the problem of estimating K dp from the derivative of a noisy differential‐phase profile.