Prediction of Landfalling Hurricanes with the Advanced Hurricane WRF Model

Author:

Davis Christopher1,Wang Wei1,Chen Shuyi S.2,Chen Yongsheng1,Corbosiero Kristen3,DeMaria Mark4,Dudhia Jimy1,Holland Greg1,Klemp Joe1,Michalakes John1,Reeves Heather5,Rotunno Richard1,Snyder Chris1,Xiao Qingnong1

Affiliation:

1. National Center for Atmospheric Research,** Boulder, Colorado

2. Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida

3. University of California, Los Angeles, Los Angeles, California

4. NOAA/NESDIS, Fort Collins, Colorado

5. National Severe Storms Laboratory, Norman, Oklahoma

Abstract

Abstract Real-time forecasts of five landfalling Atlantic hurricanes during 2005 using the Advanced Research Weather Research and Forecasting (WRF) (ARW) Model at grid spacings of 12 and 4 km revealed performance generally competitive with, and occasionally superior to, other operational forecasts for storm position and intensity. Recurring errors include 1) excessive intensification prior to landfall, 2) insufficient momentum exchange with the surface, and 3) inability to capture rapid intensification when observed. To address these errors several augmentations of the basic community model have been designed and tested as part of what is termed the Advanced Hurricane WRF (AHW) model. Based on sensitivity simulations of Katrina, the inner-core structure, particularly the size of the eye, was found to be sensitive to model resolution and surface momentum exchange. The forecast of rapid intensification and the structure of convective bands in Katrina were not significantly improved until the grid spacing approached 1 km. Coupling the atmospheric model to a columnar, mixed layer ocean model eliminated much of the erroneous intensification of Katrina prior to landfall noted in the real-time forecast.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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