Higrad/Firetec Wildfire Simulations

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.

Data and Resources

Field Value
authors Banesh, Divya [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000182882227); Linn, Rodman Ray [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000257464880)
contract_number 89233218CNA000001
doi 10.25583/2588619
oceans11_catalog_db https://oceans11.lanl.gov/dataCatalog/firetec.db
osti_citation_url https://www.osti.gov/biblio/2588619
osti_id 2588619
publication_date 2021-10-25
report_number LA-UR-21-30575
research_orgs Los Alamos National Laboratory (LANL)
sponsor_orgs USDOE
Tags
  • dsi
  • lanl
  • mathematics-and-computing
  • oceans11
author Banesh, Divya
isopen False
metadata_created 2026-10-30T16:29:04.261750
metadata_modified 2026-10-30T16:29:04.261755
notes 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.
num_resources 3
num_tags 4
title Higrad/Firetec Wildfire Simulations
url https://www.osti.gov/biblio/2588619
version 2021-10-25