NOAA Tested Experimental Hurricane Forecast Model
Researchers analyzed an experimental model to improve storm intensity and wind predictions.
Updated on Oct. 14, 2026 in Forecasts
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In 2024, NOAA scientists evaluated an experimental hurricane forecast model known as HFXB. The model was tested against established operational baselines using historical data from major storms including Hurricane Beryl, Hurricane Helene, and Hurricane Milton.
Why it matters
Refining storm modeling is critical for enhancing predictive accuracy, which helps safeguard lives and property during severe weather events. Testing new features and data assimilation methods is a necessary step before any model can be integrated into official forecast suites.
The HFXB model showed reduced average intensity errors over current operational baselines at 96-126-hour lead times. While performance improved for storm core and wind radius predictions, the model displayed a negative intensity bias.
The players
NOAA
The National Oceanic and Atmospheric Administration is a United States federal agency that focuses on the conditions of the oceans, major waterways, and the atmosphere.
Hurricane Forecast Improvement Program
This program manages the testing of experimental model configurations in near-real time to advance storm prediction technology.
The details
The HFXB model integrates the MOM6 ocean model, a scale-aware Tiedtke convective scheme, and refined data assimilation techniques to improve predictive capabilities. Scientists conducted these near-real-time tests through the Hurricane Forecast Improvement Program to address specific forecasting gaps observed in the 2023 HAFS model.
Timeline
The HAFS model was first introduced into operational use in 2023.
Researchers completed the HFXB performance analysis in 2024.
Seasonal Patterns
The development of HFXB falls under the standards of the Hurricane Forecast Improvement Program, which systematically updates modeling to address historical predictive gaps. This iterative process is essential for closing the gap between current operational capabilities and the complexity of real-world Category 5 storms.
While the HFXB model is currently in a testing phase, improved intensity forecasts remain vital for public safety planning. Residents in hurricane-prone areas should continue to rely on official National Hurricane Center alerts and established evacuation protocols.
The takeaway
Advancements in numerical weather prediction models are essential for better anticipating the rapid intensification of major hurricanes. Ongoing research aims to correct existing biases to ensure future operational suites provide the most accurate data for emergency management.
Further reading
For more information on current storm modeling, visit the Forecasts section.
Source note: This article includes information reported by NOAA's Atlantic Oceanographic and Meteorological Laboratory.
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