Hurricane science

Hurricane forecast accuracy

Hurricane track forecasts are now 4-5 times more accurate than 1990. But intensity forecasts have barely improved. Here is why.

The metrics

Track error
How far off the forecast center-position is from actual. Measured in miles.
Intensity error
How wrong the forecast wind speed was. Measured in knots.
Cross-track error
Perpendicular to the storm's motion.
Along-track error
In the direction of motion (timing).
Rapid intensification (RI) detection
Did the model predict a jump in intensity?

The track improvement story

What drove track improvement

  1. Better initial conditions from Hurricane Hunter dropsondes.
  2. Higher-resolution models (HWRF, HAFS).
  3. Better data assimilation.
  4. Ensemble forecasting.
  5. Satellite advances (GOES-R series).
  6. AI-augmented forecasts (increasing).
  7. Better representation of steering flow.

The intensity problem

Rapid intensification

A hurricane that gains 35+ mph of wind speed in 24 hours is undergoing rapid intensification (RI).

The Cone of Uncertainty

NHC issues track forecasts with a 'cone of uncertainty' โ€” the area within which the storm center is expected to fall 2/3 of the time.

The cone of uncertainty problem

The models

GFS
Global. Reasonable track. Weaker on intensity.
ECMWF
European. Excellent track for medium-range.
HWRF
Hurricane-specific US model. Good intensity forecasts.
HAFS
Newer US hurricane model, replacing HWRF.
HRRR
High-resolution for landfall specifics.
CMC/GEM
Canadian.
UKMet
British.
AI models (GraphCast, Aurora, Pangu)
Increasingly considered.

The specific improvements needed

For emergency managers

For public safety

Learn more