P2.20 Classification of Precipitation Types During Transitional Winter Weather Using the RUC Model and Polarimetric Radar Retrievals
P2.20 Classification of precipitation types during transitional winter weather using the RUC model and polarimetric radar retrievals H.- S. Park1, A. Ryzhkov2, H. Reeves2, and T. Schuur2 1Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu, South Korea 2Cooperative Institute for Mesoscale Meteorological Studies, Oklahoma University and NOAA/OAR National Severe Storms Laboratory, Norman Oklahoma 1. Introduction The ability of dual-polarization radar to hydrometeor types near the ground. Third, and distinguish between precipitation types offers perhaps most importantly, the existing great potential for improving nowcasting polarimetric HCA is entirely radar-based; no capabilities for winter storms. The operational thermodynamic information is utilized in the version of the hydrometeor classification classification process. algorithm (HCA) accepted for the polarimetric In this study, an experimental version of a WSR-88D, however, was primarily developed winter precipitation classifier that uses for warm season weather and has been mainly thermodynamic information derived from a tested on summer-type storms. There is therefore numerical prediction model is developed and a need to modify and generalize the existing tested for a high-impact storm that occurred over classification routine to better address central Oklahoma on 30 November 2006. The classification issues related to transitional winter storm produced a sequence of convective rain, weather, such as the detection of freezing rain, freezing rain, and ice pellets, followed by wet and discrimination between rain, ice pellets / and dry snow with variable density. sleet, and different types of snow. To improve the HCA, we must first 2. Classes and input variables recognize shortcoming of existing classification techniques.
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