With its high-resolution grid of data points just four kilometers (about 2.5 miles) apart, the model can project the location of fine-scale rain bands and eyewall structures 48 hours into the future.
It's these storm features that determine where the greatest damage from both rain and wind might occur, says NCAR weather expert Chris Davis. Current operational forecast models use a coarser resolution and must approximate the cloud processes affecting intensity and precipitation.
Known as ARW, the computer model is NCAR's research version of the Weather Research and Forecasting model (WRF), a joint effort by university and government scientists.
"ARW intensity predictions are very encouraging," says Davis. "Five years ago, accurate intensity predictions weren't even possible."
The model captured in detail the collapse of Hurricane Katrina's eyewall at landfall and the shift of precipitation to the north side of the storm. Had the eyewall's structure remained coherent, the winds would have been far more devastating. However, an eyewall always weakens at landfall, says Davis.
Teams supporting the Department of Energy and Department of Homeland Security are using real-time ARW data in their damage models. The researchers are testing how computer simulations of a particular hurricane's most destructive features might improve damage model projections and lead to better warnings of floods, power outages, and road blockage. This year's test cases have included hurricanes Katrina, Ophelia, and now Rita.
Meanwhile, a hurricane experiment in Florida is investigating the interactions between Hurricane Rita's rain bands and its eyewall. NCAR's Wen-Chau Lee is flying through the storm aboard a Naval Research Laboratory P-3 aircraft to gather radar data from inside the bands. The observations from the Hurricane Rainband and Intensity Change Experiment (RAINEX) will help scientists better understand the impact of the rain bands on the storm's maximum winds.