Chanh Kieu, an associate professor of atmospheric science at Indiana University, explains that AI models have substantially improved global weather forecasting but still struggle to predict hurricane intensity, especially during rapid intensification. He attributes this shortfall to sparse observational data over the ocean and the inherently chaotic small-scale physics that drive storm behavior, not to insufficient computing power. Kieu argues that closing the gap requires better data collection and deeper physical understanding of hurricanes rather than simply scaling up AI models.
