Storm

Applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term hurricane forecasts. This approach could also help them issue timely warnings to communities in the path of these potentially deadly storms, report researchers. In a new study, the researchers used machine learning to remove certain groups of hurricane predictions from ensembles—sets of predictions from weather models that are based on a range of weather possibilities—to lower errors and improve forecasts four to six days ahead. “…WHEN YOU ARE FACING A HURRICANE, IT’S IMPORTANT TO KNOW WHAT TYPE OF STORM YOU’RE GOING…