What is already known:
What this study adds:
The mPING app allows the public citizen to submit reports of the weather occurring at their location from anywhere on the globe. This study uses precipitation type reports made through mPING in the continental United States to verify precipitation type forecasts of operational numerical models. The models evaluated are the North American Mesoscale (NAM) model, the Global Forecast System (GFS), and the Rapid Refresh (RAP) model. Strengths and weaknesses of each model’s forecast are investigated for freezing rain, ice pellets, rain, and snow. The Heidke and Peirce skills scores are used predominantly, along with other performance measures. 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.