The Recent Hail-storm

Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models

Hail causes billions of dollars in losses by damaging buildings, vehicles, and crops. Improving the spatial and temporal accuracy of hail forecasts would allow people to mitigate hail damage. We have developed an approach to forecasting hail that identifies potential hail storms in storm-scale numerical weather prediction models and matches them with observed hailstorms. Machine learning models...

Meteor Storm Evidence against the Recent Formation of Lunar Crater

It has been suggested that the formation of 22 km diameter lunar crater Giordano Bruno was witnessed in June 1178 AD [1]. To date, this hypothesis has not been well tested. Such an impact on the Earth would be “civilization threatening.” Previous studies have shown that the formation of Giordano Bruno would lead to the arrival of 10 million tonnes of ejecta in the Earth’s atmosphere in the foll...

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...

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...

Recent Transfer of Storm Water Program to ECLS