Machine Learning Algorithms Predict Hail a Day in Advance (IMAGE)

U.S. National Science Foundation

Machine Learning Algorithms Predict Hail a Day in Advance

Caption

An image from the work of Ph.D. student David Gagne using machine learning algorithms to predict hail a day in advance using the Storm Scale Ensemble Forecast (SSEF) that is run each year by CAPS as part of NOAA's Hazardous Weather Testbed. The top two panels show raw output of variables in the model associated with hail. The bottom panel shows results from the random forest machine learning algorithm, which is used to calibrate the raw model output and dramatically improve the forecast of hail.

Credit

David Gagne, University of Oklahoma

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