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Several techniques using millimeter wavelength cloud radar to remotely detect regions of aircraft icing have recently been proposed. However, measurements using short wavelength radars at Ka or X-band frequencies may not be useful in the presence of precipitation sized particles due to Mie scattering and severe attenuation in rain. Therefore, additional methods of remote SLW detection are under investigation. Recent studies have shown the utility of polarimetric radars to distinguish hydrometeor particle types. The NCAR S-Pol polarimetric radar was recently operated during the Mesoscale Alpine Program (MAP) and the Severe Thunderstorm and Electrification and Precipitation Study (STEPS) in coordination with aircraft equipped with microphysical instrumentation. A fuzzy logic-based hydrometeor identification algorithm was implemented using real-time S-Pol observations. When available, the brightband was used to determine the height of the 0 degree C isotherm in the cloud layer. In this paper, we investigate the detection of SLW using ground-based S-band polarization radar measurements by direct comparison of the aircraft microphysical data to appropriate S-Pol data and hydrometeor classification. This is achieved with recently developed software that matches the aircraft data to the radar data in both time and space within user-specified parameters. This allows large data sets to be objectively compared relatively quickly. Results of the radar/aircraft data comparison during periods of icing will be presented.