Study Finds that Very Small-Scale Changes in Measured Hurricane Winds Impact Forecasts

news image
Special Stories
2 Feb 2018 1:40 PM
From NOAA HRD Forecasters and researchers at the National Hurricane Center use the Hurricane Weather Research and Forecasting (HWRF) model to forecast where a hurricane will go, how strong and large it will be, and where the strongest winds will be located in the storm. Wind speeds in hurricanes have been found to be different over very short distances like 300 feet, roughly the length of a football field. This is called the small scale. We have observations of how the wind changes on the small scale from NOAA Hurricane Hunter aircraft. To duplicate these changes, the HWRF model was run a number of times changing how the small-scale wind is forecast to be closest to these observations. The new study documents how these changes improve forecasts of the entire storm. It was found that small-scale wind features are important for forecasts of how strong the hurricane will get and how quickly, and of its size. The findings will help those creating the forecast models to make future intensity forecasts better. [HWRF 96 hour (4 day) forecast for Hurricane Katrina as it approached New Orleans in 2005] A previous study in 2015 focused on understanding how the horizontal wind diffusion parameterization worked in the HWRF model and its dynamical influence on hurricane intensification using idealized simulations. A series of sensitivity experiments was conducted to simulate Hurricane Earl (2010). Results from the Earl forecasts confirmed the findings from previous studies, in that both the simulated maximum intensity and intensity change rate are dependent on the small scale wind changes. Comparisons between the modeled and observed structure of Hurricane Earl, such as storm size, surface boundary layer pressure, warm-core temperatures, and eyewall slope, found that small changes in calculations used in the HWRF model should be decreased. This had a positive impact on hurricane prediction based on over 200 retrospective forecasts of 10 Atlantic storms. [Hurricane Earl near the Bahamas on September 1, 2010] Improving physical parameterizations in forecast models is essential for hurricane wind speed prediction. The study documents the upgrade of horizontal wind parameterization in the HWRF model and evaluates the impact of this upgrade on hurricane forecasts. The horizontal wind improvements were modified based on aircraft observations and extensive idealized and real-case numerical experiments. The article, Evaluating the impact of improvement in the horizontal diffusion parameterization on hurricane prediction in the operational Hurricane Weather Research and Forecast (HWRF) model, was published in the Journal of the American Meteorological Society. Edited for WeatherNation by Meteorologist Mace Michaels
All Weather News
More
Extreme Drought Leads To Fire Concerns Across The Nation

Extreme Drought Leads To Fire Concerns Across The Nation

SOUTHEASTOver 97% of the Southeast is in mode

23 Apr 2026 10:40 PM
Severe Storm Threat Reloads Across Plains with Hail, Wind, and Tornado Risk

Severe Storm Threat Reloads Across Plains with Hail, Wind, and Tornado Risk

The Storm Prediction Center has issued an&nbs

23 Apr 2026 10:00 PM
Severe Weather Chances Continue Friday through Tuesday

Severe Weather Chances Continue Friday through Tuesday

Several rounds of severe storms are expected

23 Apr 2026 8:45 PM
West Staying Active for the Weekend

West Staying Active for the Weekend

CALIFORNIA - The rain and snow across Califor

23 Apr 2026 8:40 PM
Cold Blast Prompts Frost and Freeze Alerts

Cold Blast Prompts Frost and Freeze Alerts

WHAT TO EXPECTA blast of cold air has brought

21 Apr 2026 9:40 AM
Record Snow, Record Rain, Rising Rivers

Record Snow, Record Rain, Rising Rivers

Flooding turned serious over the last week ac

20 Apr 2026 4:20 PM
Looking Back at Last Week's Severe Weather Outbreak

Looking Back at Last Week's Severe Weather Outbreak

Tornadoes, hail, wind, and rain slammed the M

20 Apr 2026 4:10 PM