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Darter Supercomputer Powers Severe-weather Prediction Experiment

Over at NICS, Scott Gibson writes that researchers at the the University of Oklahoma are using their new Cray XC30 supercomputer to run real-time hazardous weather prediction models. With a goal of increasing warning time for the public, the team at the Center for Analysis and Prediction of Storms (CAPS) ran Storm-scale Ensemble Forecasts (SSEF) in support of the NOAA Hazardous Weather Testbed 2013 Spring experiment.

The dedicated use of the powerful NICS-managed Darter supercomputer made a big contribution to a very successful 2013 Spring Experiment season,” says Fanyou Kong of CAPS. “It allows CAPS to not only produce real-time baseline storm-scale ensemble forecasts for HWT but also to run several combinations of ensemble configurations to find optimization for more accurate prediction of severe-weather events.”

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