Hurricane scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory have created a new, advanced moving nest model within the Unified Forecast System, the bedrock of NOAA’s weather prediction applications . AOML’s Hurricane Modeling and Prediction Team developed the high resolution moving nest model for the FV3 dynamical core, laying the foundation for next generation advancements in hurricane forecasting.
NOAA Hurricane Model Performance is Evaluated for the First Time in Predicting Rainfall from 2017 Hurricane Harvey
A recent study published in the journal Atmosphere evaluated for the first time, how well NOAA’s regional hurricane model was able to forecast the location and amount of devastating rainfall in 2017’s Hurricane Harvey. The Hurricane Weather Research and Forecasting (HWRF) model predicted the realistic total rainfall and the location of the maximum rainfall of Hurricane Harvey, which were the most devastating impacts of the storm’s landfall in coastal Texas.
Scientists strategically deployed the gliders during the peak of hurricane season, from July through November 2017, collecting data in regions where hurricanes commonly travel and intensify. The gliders continually gathered temperature and salinity profile data, generating more than 4,000 profiles to enhance scientific understanding of the air-sea interaction processes that drive hurricane intensification.