The National Hurricane Center expands its integration of artificial intelligence tools to improve tropical cyclone tracking and intensity predictions. Forecasters now routinely incorporate AI guidance alongside traditional models.
A standout performer comes from Google’s DeepMind. The AI-based hurricane model, developed in partnership with NOAA, delivered top accuracy for track and intensity during the 2025 season. It outperformed physics-based systems in several cases, including precise forecasts for storms like Hurricane Melissa.
NHC meteorologists use these AI products experimentally and operationally. They evaluate models from DeepMind and others, such as those from the European Centre for Medium-Range Weather Forecasts. This collaboration accelerates adoption of advanced technology.
Improved forecasts save lives and reduce property damage. AI excels at pattern recognition from vast historical data, complementing human expertise. As the 2026 season approaches, these tools form a critical part of the forecasting toolkit.
What if AI continues to outperform traditional methods? The shift could redefine meteorology, yet human oversight remains essential for final decisions. The expansion demonstrates how targeted AI applications deliver tangible benefits in high-stakes fields.
Author:Oje.Ese