Using the XSEDE supercomputing and visualization resources to improve tornado prediction using data mining

  • Authors:
  • Bradley Pirtle;Ross Kimes;Amy McGovern;Rodger Brown

  • Affiliations:
  • University of Oklahoma;University of Oklahoma;University of Oklahoma;NOAA/National Severe, Storms Laboratory

  • Venue:
  • Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
  • Year:
  • 2012

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Abstract

In this paper we introduce the use of XSEDE resources and mathematical models for the simulation of tornadoes, as well as novel techniques for analyzing the results of these simulations.