Rosales, Daniel et al. (2022): QUIC-Fire Idealized Grass Plots. WIFIRE Commons. Dataset. https://doi.org/10.48792/W24W2H
| Identifier: | doi:10.48792/W24W2H |
|---|---|
| Creators: | Rosales, Daniel [Tall Timbers Research Station and Land Conservancy]; Altintas, Ilkay [ORCID=https://orcid.org/0000-0002-2196-0305] [San Diego Supercomputer Center]; WIFIRE Commons |
| Title: | QUIC-Fire Idealized Grass Plots |
| Publisher: | WIFIRE Commons |
| Publication year: | 2022 |
| Language: | en-us |
| Resource type: | Dataset/Fuel bulk density simulations |
| Description [Abstract]: | 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 2022 |
| Subjects: | Wildfires--United States--Prevention and control [Library of Congress Subjects]; Wildfires--Prevention and control [Library of Congress Subjects]; Prescribed burning [Library of Congress Subjects]; Fuel reduction (Wildfire prevention) [Library of Congress Subjects] |
| Contributors: | Rosales, Daniel [ContactPerson] [Tall Timbers Research Station and Land Conservancy]; Altintas, Ilkay [ORCID=https://orcid.org/0000-0002-2196-0305] [ProjectLeader] [San Diego Supercomputer Center] |
| Dates: | 2022-03-01 [Submitted] |
| Related identifiers: | https://github.com/BurnPro3D/data-api-notebooks/blob/main/access-QuicFire-QF-Idealized-Grass-Plots-data.ipynb |
| Sizes: | 1 Tb |
| Formats: | ZARR |
| Version: | 1.0 |
| Rights: | Creative Commons Attribution 4.0 International (CC BY 4.0) [https://creativecommons.org/licenses/by/4.0/deed.en] |
| Funding references: | National Science Foundation award 2134904 "NSF Convergence Accelerator – Track D: Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing" |
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