Author(s): Nadia Ahmad, Yale University (First Author, Presenting Author) Tarek Kandakji, Baylor College of Medicine Dan Esty, Yale University Luke Sanford, Yale University Gerald Torres, Yale University Zhe Zhu, University of Connecticut Katharine Mach, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami
Hurricanes can rapidly strengthen from weak storms to life-threatening disasters in just 24 hours, making it extremely difficult for weather forecasters to provide adequate warning to coastal communities. Current prediction methods have significant limitations, leaving many people unprepared for dangerous storms. We developed new artificial intelligence and mathematical tools to better predict when hurricanes will undergo dangerous intensification. Our system analyzed patterns from comprehensive storm datasets spanning multiple years of Atlantic hurricane activity.
