Higrad/Firetec Wildfire Simulations

Banesh, Divya; Linn, Rodman Ray

doi:10.25583/2588619

Title: Higrad/Firetec Wildfire Simulations

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Abstract

Wildfire behavior is a result of complex nonlinear interactions between a variety of physical processes and chemical reactions. Understanding the coupling between these components and the ways in which their interactions are influenced by their surrounding environment (e.g. winds, fuels, and topography) is a challenging undertaking. The IEEE SciVis 2022 Contest is focused on the visualization and analysis of simulations of wildfires.

Authors:

;

Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Publication Date:: Mon Oct 25 00:00:00 EDT 2021

Other Number(s):: LA-UR-21-30575

DOE Contract Number:: 89233218CNA000001

Research Org.:: Los Alamos National Laboratory (LANL)

Sponsoring Org.:: USDOE

Subject:: 97 MATHEMATICS AND COMPUTING

OSTI Identifier:: 2588619

DOI:: https://doi.org/10.25583/2588619

Citation Formats


                    Banesh, Divya, and Linn, Rodman Ray. Higrad/Firetec Wildfire Simulations.  United States: N. p., 2021. 
        Web.  doi:10.25583/2588619.

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                    Banesh, Divya, & Linn, Rodman Ray. Higrad/Firetec Wildfire Simulations.  United States.  doi:https://doi.org/10.25583/2588619

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                    Banesh, Divya, and Linn, Rodman Ray. 2021.  
"Higrad/Firetec Wildfire Simulations".  United States.  doi:https://doi.org/10.25583/2588619.  https://www.osti.gov/servlets/purl/2588619. Pub date:Mon Oct 25 00:00:00 EDT 2021

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@article{osti_2588619,

  title        = {Higrad/Firetec Wildfire Simulations},

  author       = {Banesh, Divya and Linn, Rodman Ray},

  abstractNote = {Wildfire behavior is a result of complex nonlinear interactions between a variety of physical processes and chemical reactions. Understanding the coupling between these components and the ways in which their interactions are influenced by their surrounding environment (e.g. winds, fuels, and topography) is a challenging undertaking. The IEEE SciVis 2022 Contest is focused on the visualization and analysis of simulations of wildfires.},

  doi          = {10.25583/2588619},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Oct 25 00:00:00 EDT 2021},

  month        = {Mon Oct 25 00:00:00 EDT 2021}

}

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DOI: https://doi.org/10.25583/2588619

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