Wildfire simulation outputs from Fire Dynamics Simulator (FDS) using real-world fuel data from forest plots, Oregon, USA, 2019

https://doi.org/10.5285/f9180989-6528-404e-8110-e3dcc205a6a1

Cite this dataset

This dataset is available under the terms of the Open Government Licence

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset contains outputs of wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes three simulations, each representing different simulation parameters. The forest plot used for the simulations consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The inputs of the simulations are available at Cabo et al., 2025 https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28 . These simulations serve as an example on how ground-based LiDAR data can be used to run 3D-spatially explicit wildfire simulations.

The dataset includes CSV files containing the numeric results of the simulations; OUT, TXT, and INI files containing the specifications of the simulation (software version, date, number of threads, simulation domain, units, etc.); and FDS-specific output files which contain data related to the simulation paramaters : .PRT5 (Part 5 / Particle Files), .S3D(3D Smoke Files), .SF (Slice Files), .BND (Boundary Files), .GBND (Gas/Global Boundary Files), .Q (Plot3D Files), .smv (Smokeview Files), and .SZ (Smokeview Sizing Files).

Publication date: 2026-07-02

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How do we collect this information?

Formats

Comma-separated values (CSV), OUT, PRT5, S3D, SF, BND, GBND, Q, SMV, SZ, TXT

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

WGS 84

Spatial resolutions

0.1 metres
0.2 metres

Temporal information

Temporal extent

2019-07-10 to 2019-07-10

Provenance & quality

One 40x40 m2 plot point cloud was manually labelled into the different fuel layers present in the scene, Each point was labelled into either "ground", "understorey", "stem" or "canopy". Each layer was then voxelized at 20 cm for simulations 1 and 2 and 10 cm for simulation 3, and each voxel was assigned a layer-specific averaged bulk density value. Then the voxels were converted into Fire Dynamics Simulator (FDS) BDF input files.

Fire Dynamics Simulator (FDS) 6.9.1 was used to run three wildfire simulations. Simulations 1 and 2 were run using 9 MPI processes and took approximately 25 min, whereas simulation 3 was run using 16 and took approximately 68.16 h.

The simulations were run in April-May 2024 on an MSI laptop equipped with a 13th-generation Intel Core i9-13980HX processor (2.20 GHz) and an NVIDIA RTX 3500 Ada Generation Laptop GPU (12 GB VRAM).

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Laino, D.; Cabo, C.; Parsons, R.A.; Hudak, A.T.; Doerr, S.; Santin, C. (2026). Wildfire simulation outputs from Fire Dynamics Simulator (FDS) using real-world fuel data from forest plots, Oregon, USA, 2019. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/f9180989-6528-404e-8110-e3dcc205a6a1

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