In an attempt to rectify these limitations, a large observational database consisting of 60 separate severe hail storms (hail diameter ≥ 1 in; ≥ 2.5 cm) between 2011 to present were made by an ongoing field research project, A Hail Spatial and Temporal Observing Network Effort (HailSTONE). Additional high-resolution hail cases from across the United States were obtained from the Severe Hazards Analysis and Verification Experiment (SHAVE) and incorporated into the research. HailSTONE and SHAVE observations provide tremendous spatiotemporal insight into the hail-fall character of convective storms, and allow for several useful comparisons of hail size to the climatological database and NWS warning products.
Maximum diameter hail sizes recorded in Storm Data as well as hail forecasts in NWS warnings and statements differ significantly when compared to the high-resolution observations where consistently larger sizes are noted. In this study, the influence of factors such as storm mode on this size bias will be discussed, as will the potential implications these findings have for the representativeness of the historical hail database and previous hail forecasting techniques derived from those data. The overarching goal of this research will be to identify methods for improving short-fused hail size prediction in NWS warning operations.