Abstract: his study characterizes the terminal velocities of heavily rimed ice crystals and aggregates, graupel, and hail using a combination of recent drag coefficient and particle bulk density observations. Based on a nondimensional ...

Abstract: A nonparametric statistical technique is developed which is capable of interfacing with dynamic atmospheric models to produce probability of precipitation forecasts. The technique is implicitly nonlinear, utilizing an ...

Abstract: AbstractThis study uses novel approaches to estimate the fall characteristics of hail, covering a size range from about 0.5 to 7 cm, and the drag coefficients of lump and conical graupel. Three-dimensional (3D) volume scans ...

Abstract: A nonparametric technique based on a pattern recognition algorithm is used to forecast the probability of precipitation for 42 stations over the western United States. Mean-square errors or Brier scores between forecasted ...