Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF

Evaluation of Alberta Hail Growth Model Using Severe Hail Proximity Soundings from the United States

A one-dimensional, coupled hail and cloud model (HAILCAST) is tested to assess its ability to predict hail size. The model employs an ensemble approach when forecasting maximum hail size, uses a sounding as input, and can be run in seconds on an operational workstation. The model was originally developed in South Africa and then improved upon in Canada, using high quality hail verification data...

Evaluation of an Alberta Hail Growth Model Using Severe P9.5 Hail Proximity Soundings in the United States

Forecasters currently have very few tools at their disposal to aid them in predicting the maximum expected hail size. Moreover, the few tools that are available frequently forecast unrealistically large hail sizes in high CAPE environments. Perhaps the main reason for this is that the hail growth process is very complex and consequently, any ingredients-based forecasting methods that are typica...

Hail suppression and society.

An interdisciplinary assessment of hail suppression in the past, present, and future has shown it to be currently scientifically uncertain but a potentially beneficial future technology. An established suppression technology would be widely adopted in the Great Plains, providing benefits to agriculture and secondarily to the American consumer. Development of a reliable technology will require a...

Observations of oblate hail using dual polarization radar and implications for hail-detection schemes

Coincidental radar measurements and in situ ground-truth observations of large, oblate hail has allowed new insights into the fall mode of oblate hailstones. The effect of the fall mode upon hail-detection algorithms using multi-parameter radar is investigated and discussed, as is the vexed problem of extracting realistic rainfall rates in regions where hail and rain coexist. Observations prese...

Hail and Farewell