Supercomputers Help Researchers Improve Severe Hail Storm Forecasts (nsf.gov)

aarondubrow writes: Researchers working on the Severe Hail Analysis, Representation and Prediction (SHARP) project at the University of Oklahoma used the Stampede supercomputer to gain a better understanding of the conditions that cause severe hail to form, and to produce hail forecasts with far greater accuracy than those currently used operationally. The model the team used is six times more resolved that the National Weather Service's highest-resolution forecasts and applies machine learning algorithms to improve its predictions. The researchers will publish their results in an upcoming issue of the American Meteorological Society journal Weather and Forecasting.

Comments

When you think you're having a bad day...

[rmdingler]

It's a great era to alive.

A hurricane named Ike hit Galveston in 2009. With plenty of forewarning, 37 total deaths are generally accredited to the storms wrath. The usual number of folks decided not to leave despite advice to the contrary.

Another storm hit Galveston in 1900 with no warning. People were sitting on the beach when a wall of water hit that was taller than their houses.