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LOCATION:D Concourse
DTSTART;TZID=America/Denver:20231114T100000
DTEND;TZID=America/Denver:20231114T170000
UID:submissions.supercomputing.org_SC23_sess292_svs105@linklings.com
SUMMARY:Visualizing Megafires:  How AI Can Be Used to Drive Wildfire Simul
 ations with Better Predictive Skill
DESCRIPTION:Scott Pearse, Amy DeCastro, and Timothy Juliano (National Cent
 er for Atmospheric Research (NCAR))\n\nThe East Troublesome Wildfire was t
 he fourth largest wildfire to date in Colorado history, igniting on Octobe
 r 14, 2020. Driven by low humidity and high winds, the wildfire spread to 
 over 200,000 acres in nine days, with 87,000 of those acres being burnt in
  a single 24 hour period. Wildfire simulations and forecasts help decision
 -makers issue evacuation orders and inform response teams, but these simul
 ations depend on accurate variable inputs to produce trustworthy results. 
 These wildfire visualizations demonstrate new AI tools developed at the Na
 tional Center for Atmospheric Research (NCAR), which are producing superio
 r wildfire simulation outputs than have been available in the past.\n\nTag
 : Data Analysis, Visualization, and Storage, Exascale, HPC in Society, Mod
 eling and Simulation, Visualization\n\nRegistration Category: Tech Program
  Reg Pass, Exhibits Reg Pass\n\nSession Chair: Kristi Potter (National Ren
 ewable Energy Laboratory (NREL))\n\n
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