Using mPING Observations to Verify Surface Precipitation Type from Operational Numerical Models
4x4 contingency tables are constructed to evaluate the models ability to forecast all four precipitation types. Then 2x2 contingency tables are formed to evaluate model performance for each precipitation type. The Heidke and Peirce skills scores are used predominantly, along with other performance measures. The NAM had the best skill scores overall for both the three and six-hour forecasts. However, when examining model performance for each precipitation type no model was superior to any other. The rare precipitation types showed a decrease in skill for all models. Overall, the models show less skill in the rare events of freezing rain and ice pellets, while overcompensating those precipitation types for rain or snow.