text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation Home National Science Foundation - Geosciences (GEO)
Geosciences (GEO)
design element
GEO Home
About GEO
Funding Opportunities
Awards
News
Events
Discoveries
Publications
Advisory Committee
Career Opportunities
GEO Education Program
See Additional GEO Resources
View GEO Staff
GEO Organizations
Atmospheric and Geospace Sciences (AGS)
Earth Sciences (EAR)
Ocean Sciences (OCE)
Polar Programs (PLR)
Proposals and Awards
Proposal and Award Policies and Procedures Guide
  Introduction
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Other Types of Proposals
Merit Review
NSF Outreach
Policy Office
Additional GEO Resources
GEO Advisory Cmte Report on Ocean Drilling, 2012
GEO Vision, A Report of AC-GEO (10/09)
Strategic Framework for Topical Areas, 2012 (Follow on to GEO Vision)
GEO Education & Diversity Program
GEO Innovation
GEO Data Policies
Follow GEO on Twitter
U.S. Global Change Research Program
Merit Review Broader Impacts Criterion: Representative Activities
Other Site Features
Special Reports
Research Overviews
Multimedia Gallery
Classroom Resources
NSF-Wide Investments

Email this pagePrint this page
All Images

Discovery
Long-Term Federal Investments Improve Severe Weather Prediction

Back to article | Note about images

graphic illustration showing a tornado simulation

Tornado simulation. Ming Xue of the University of Oklahoma used the Pittsburgh Supercomputing Center's (PSC) terascale computer system to run one of the largest tornado simulations ever created. Together with PSC's Greg Foss, who used Xue's numeric simulations to create a 3-D visualization, Xue successfully simulated a 1977 supercell thunderstorm and the high-intensity tornado that it spawned. The results captured the tornado's vortex structure with wind speeds of 260 miles per hour, classified as an F5 on the Fujita tornado intensity scale.

Xue is a team member with the $40 million NSF ERC for Collaborative Adaptive Sensing of the Atmosphere (CASA). A complete summary of the simulation project is available at http://www.casa.umass.edu/docs/Retwistered_twister.pdf. The research was supported by NSF grants ATM 01-29892 and EEC 03-13747. (Date of Image: May 2004)

Credit: Numerical simulation performed by Dr. Ming Xue, Center for Analysis and Prediction of Storms and School of Meteorology, University of Oklahoma; 3-D visualization created by Greg Foss, Pittsburg Supercomputing Center, with assistance from Ming Xu


Download the high-resolution JPG version of the image. (161 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

Computer scientists and weather experts are working together to develop tornado forecast models based on supercomputer simulations that analyze how constantly changing storm components interact. This unique collaboration between computer science and meteorology is producing game-changing results that could one day lead to improved tornado forecasts.

Credit: NSF

 

CASA, a new generation of weather radar currently being tested, fills in the gaps missed by current radar systems. It could greatly improve the accuracy of tornado and other severe weather warnings.

Credit: NSF

 



Email this pagePrint this page
Back to Top of page