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High-Resolution Hurricane Forecasts
January/February 2011 (vol. 13 no. 1)
pp. 22-30
Christopher Davis, National Center for Atmospheric Research, Boulder
Wei Wang, National Center for Atmospheric Research, Boulder
Steven Cavallo, National Center for Atmospheric Research, Boulder
James Done, National Center for Atmospheric Research, Boulder
Jimy Dudhia, National Center for Atmospheric Research, Boulder
Sherrie Fredrick, National Center for Atmospheric Research, Boulder
John Michalakes, National Center for Atmospheric Research, Boulder
Ginger Caldwell, National Center for Atmospheric Research, Boulder
Thomas Engel, National Center for Atmospheric Research, Boulder
Ryan Torn, University at Albany SUNY, Albany

Widely varying scales of atmospheric motion make it extremely difficult to predict hurricane intensity, even after decades of research. A new model capable of resolving a hurricane's deep convection motions was tested on a large sample of Atlantic tropical cyclones. Results show that using finer resolution can improve storm intensity predictions.

Index Terms:
Hurricanes, high-performance computing, numerical weather prediction, scientific computing
Citation:
Christopher Davis, Wei Wang, Steven Cavallo, James Done, Jimy Dudhia, Sherrie Fredrick, John Michalakes, Ginger Caldwell, Thomas Engel, Ryan Torn, "High-Resolution Hurricane Forecasts," Computing in Science and Engineering, vol. 13, no. 1, pp. 22-30, Jan.-Feb. 2011, doi:10.1109/MCSE.2010.74
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