Warning the public of the damaging winds in tropical cyclones is critical for safeguarding communities in harm’s way. A new study by hurricane scientists at AOML is the first to quantify the value added to tropical cyclone intensity forecasts by storm-following nests. The research, published in the Bulletin of the American Meteorological Society, demonstrates that storm-following nests applied to multiple hurricanes in the same forecast cycle can improve intensity predictions by as much as 30%.
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.
Congratulations to the Hurricane Research Division and the Hurricane Weather Research & Forecast System modeling team for receiving DOC Gold Medal and aiding in the advancement of hurricane intensity prediction.