Title :
Coupling Advanced Modeling and Visualization to Improve High-Impact Tropical Weather Prediction
Author :
Shen, B.W. ; Tao, W.K. ; Green, B.
Author_Institution :
Univ. of MarylandMaryland, College Park, MD, USA
Abstract :
To meet the goals of extreme weather event warning, this approach couples a modeling and visualization system that integrates existing NASA technologies and improves the modeling system´s parallel scalability to take advantage of petascale supercomputers. It also streamlines the data flow for fast processing and 3D visualizations, and develops visualization modules to fuse NASA satellite data.
Keywords :
data flow computing; data visualisation; parallel machines; sensor fusion; weather forecasting; 3D visualization system; NASA satellite data fusion; NASA technologies; advanced modeling; data flow; extreme weather event warning; high-impact tropical weather prediction; parallel scalability; petascale supercomputers; visualization modules; Analytical models; Computational modeling; Data models; Data visualization; Hurricanes; Meteorology; NASA; Parallel programming; Predictive models; Supercomputers; CAMVis; Global Multiscale Modeling; Hurricane prediction; concurrent visualization; hyperwall; parallel computing; scientific computing and visualization; supercomputing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.141
