16B.2 Attenuation correction techniques and hydrometeor classification of high-resolution, X-band, dual-polarized mobile radar data of severe convective storms

Thursday, 30 October 2008: 1:45 PM
South Ballroom (Hilton DeSoto)
Jeffrey C. Snyder, Univ. of Oklahoma, Norman, OK; and H. B. Bluestein, G. Zhang, S. J. Frasier, and K. Hardwick

X-band (3 cm wavelength) weather radar systems are better suited for mobile platforms than longer wavelength systems because a narrow-beam antenna can be much smaller. Simulations have shown, however, that attenuation at X-band is at least an order of magnitude larger than that at S-band and often several times larger than at C-band. Dual-polarization provides several methods by which this attenuation (and differential attenuation) can be detected and corrected, mitigating one of the primary disadvantages of X-band radars.

The dynamics of severe convective storms depend, to some extent, on the distribution and type of hydrometeors within the storm. In order to estimate the three-dimensional distribution of hydrometeors using X-band radar data, it is necessary to correct for attenuation before applying any hydrometeor classification system. Since 2002, a mobile, dual-polarized Doppler weather radar designed at the University of Massachusetts – Amherst has been used to collect high-resolution data in severe convective storms in the Plains. This study tests several attenuation correction procedures using dual-polarization measurements, along with a dual-frequency method using WSR-88D and KOUN data. After correcting for attenuation and differential attenuation, a fuzzy logic hydrometeor classification algorithm, modified for X-band with KOUN data as a reference, is used to attempt a retrieval of hydrometeor types in observed severe convective storms. Hydrometeor classification of high-resolution radar data in close proximity to supercells and tornadoes may help shed light on the dynamical processes of the production of cold pools in supercells, as well as provide a form of verification to which numerical models can be compared.

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