10.48792/W24W2HRosales, DanielDanielRosalesTall Timbers Research Station and Land ConservancyAltintas, IlkayIlkayAltintashttps://orcid.org/0000-0002-2196-0305San Diego Supercomputer CenterWIFIRE CommonsWIFIRE Commons2022Fuel bulk density simulationsWildfires--United States--Prevention and controlWildfires--Prevention and controlPrescribed burningFuel reduction (Wildfire prevention)Rosales, DanielDanielRosalesTall Timbers Research Station and Land ConservancyAltintas, IlkayIlkayAltintashttps://orcid.org/0000-0002-2196-0305San Diego Supercomputer Center2022-03-01en-ushttps://github.com/BurnPro3D/data-api-notebooks/blob/main/access-QuicFire-QF-Idealized-Grass-Plots-data.ipynb1 TbZARR1.0Creative Commons Attribution 4.0 International (CC BY 4.0)Working alongside Los Alamos National Lab (LANL), Tall Timbers Research Station (TTRS) produced a parameter sweep to compare QUIC-Fire to FIRETEC. The canonical example of an idealized rectangular ignition over a homogeneous grassland was used and developed. The QUIC-Fire simulations were made to match the FIRETEC simulations as closely as possible, with a notable exception made for the vertical grid resolution. Provided in this folder are Zarr arrays containing the bulk density over time for 10 different runs: 5 wind speeds for a short and a long fire ignitions. The first time step then is the initial condition of the fuel. The arrays are structured as [ntimes,ny,nx,nz]. The 'ntimes' is not the total simulation time but the amount of time-steps that were output. For these simulations, that would be every 10 seconds (simulation time step is 1 s but the outputs are printed every 10 s). Provided is a txt file containing the number of timesteps for each simulation (Table 2). Ny and Nx will be set for 200, 200 for all these runs, and Nz is set to 5 (vertical cells in the fuel grid). Provided is also the generating text files for the run. Type: ensemble Parameters varied: ignition line length, wind speed Outputs generated: fuel bulk density Number of runs: 10 Domain size: 400x400 meters Min/Max simulation time: 130/3000 s Temporal resolution: 10s Fuel type: homogeneous Quik-Fire version: Jan2022 Simulation author(s): Daniel Rosales Date completed: Jan 2022National Science Foundationgrid.431093.c2134904NSF Convergence Accelerator – Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing