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Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
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ajonko/grass-fire-metrics

Authors: Alex Jonko;

ajonko/grass-fire-metrics

Abstract

Release v1 of data accompanying Jonko, Yedinak, Conley, and Linn (2020): "Sensitivity of grass fires burning in marginal conditions to small perturbations in the turbulent wind field", submitted to JGR-Atmospheres. LA-UR-20-23811. The zip archive grass-fire-metrics.zip contains the following files, which were generated by computing fire behavior metrics from simulations performed with LANL's coupled atmosphere-fire behavior model FIRETEC 1.3: area_burned.csv contains the area burned per second in m^2 for 45 CORE simulations, 20 INIT simulations and 20 BOUND simulations (85 columns), and 600 seconds of simulation (600 rows) fire_perimeter.csv contains the fire perimeters in m for 45 CORE simulations, 20 INIT simulations and 20 BOUND simulations (85 columns), and 600 seconds of simulation (600 rows) consumption_per_second.csv contains consumption in kg/s for 45 CORE simulations, 20 INIT simulations and 20 BOUND simulations (85 columns), and 600 seconds of simulation (600 rows) rate_of_spread.csv contains values of distance of the fire front from the ignition line in m for 45 CORE simulations, 20 INIT simulations and 20 BOUND simulations (85 columns), and 600 seconds of simulation (600 rows) For additional information about this data, please contact the corresponding author at ajonko@lanl.gov. grass-fire-metrics.zip

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Keywords

fire-atmosphere interactions, fire behavior modeling, atmospheric turbulence

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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