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Stampede supercomputer helps researchers design and test improved hurricane forecasting system

PSU real-time hurricane analysis and forecast system

National Science Foundation online at  June 25, 2014  Working with researchers at the National Oceanic and Atmospheric Administration (NOAA), Fuqing Zhang and a team of weather modelers at Penn State University have created an improved method of hurricane forecasting that incorporates high-resolution airborne radar observations from the inner core of the storms. This approach has shown great promise for hurricane systems, but requires significant additional computation.

Using the National Science Foundation-supported Stampede supercomputer, Zhang re-forecast the more than 100 tropical storms that occurred between 2008-2012, applying his new method. He showed that the new system reduces Day-2-to-Day-5 intensity forecast errors by 25 percent compared to the National Hurricane Center's official forecasts. The simulations are described in detail in a research paper in the Bulletin of the American Meteorological Society.

Joint Brazilian and U.S. project to study formation of rain in the Amazon forests

Jose Fuentes balloon deployed Feb '14 Brazil

UNIVERSITY PARK, Pa. -- Triggering rainfall in the Brazilian Amazon jungles is the focus of a project to take place as part of the GoAmazon program ( The program is sponsored by the U.S. Department of Energy and Brazilian agencies. Leading the investigation is Meteorology Assistant Professor Marcelo Chamecki. On the Brazilian side, Antonio Manzi and Celso von Randow are the co-investigators.  

Read the full story on Penn State News