An important component of the SFE is understanding how forecasters can use CAM-based ensemble forecast model output to craft real-time probabilistic forecasts of various severe weather hazards. The purpose of this presentation is to provide an overview of the role of human forecasters in the severe storm forecasting process in the face of rapid advances in CAM-based, storm-scale numerical weather prediction. This overview will be presented from the perspective of someone who has followed the weather daily for decades, who has enjoyed the luxury of not sitting on the forecaster hot seat at the SPC (or the NCEP Weather Prediction Center), and who has made more wrong forecasts than almost anyone alive (just ask my wife). Illustrative examples of some challenging convection-related weather events will be presented. Experienced human severe weather forecasters are very cognizant of the role that surface boundaries can play in convective initiation and in determining convective mode. These experienced human forecasters in many cases can maintain an “edge” on the CAM forecasts by focusing on the structure and evolution of important surface boundaries both prior and subsequent to the onset of deep convection. Mesoscale convective systems (MCSs) that transition from severe weather-producing systems to flash flood-producing systems are especially difficult to predict. Illustrative examples of some of these MCS-related forecast challenges will be shown.