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

Volume

13

Issue

5

fYear

2011

Firstpage

56

Lastpage

67

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;

fLanguage

English

Journal_Title

Computing in Science & Engineering

Publisher

ieee

ISSN

1521-9615

Type

jour

DOI

10.1109/MCSE.2010.141

Filename

5654482