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Publication Details

Title:
Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – terrestrial laser scans Data publication contains GIS data
Author(s):
Skowronski, Nicholas S.; Charney, Joseph J.; Gallagher, Michael R.; Cole, Jason A.; Campbell-Lochrie, Zakary J.; Walker-Ravena, Carlos; Mueller, Eric V.; Everland, Alexis I.; Patterson, Matthew M.
Publication Year:
2023
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product:
Skowronski, Nicholas S.; Charney, Joseph J.; Gallagher, Michael R.; Cole, Jason A.; Campbell-Lochrie, Zakary J.; Walker-Ravena, Carlos; Mueller, Eric V.; Everland, Alexis I.; Patterson, Matthew M. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – terrestrial laser scans. Updated 21 May 2024. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0097
Abstract:
The United States Department of Defense (DoD) Strategic Environmental Research and Development Program (SERDP) funded project: Multi-scale Analyses of Wildland Fire Combustion Processes in Open-canopied Forests using Coupled and Iteratively Informed Laboratory-, Field-, and Model-based Approaches (RC-2641) conducted a large-scale (management-scale) field experiment during an operational prescribed burn to quantify how atmospheric dynamics across a wide range of spatial and temporal scales affect fire propagation, energy exchange, and fuel consumption. This experiment also provided an opportunity to fully examine how combustion related processes transfer across scales of particles and simple fuel beds in the laboratory, wind tunnel, small-scale, and operational prescribed burns as instrumentation used in small-scale field experiments was embedded in this experiment. In addition, the large-scale experiment also provides data necessary for simulation and model testing of coupled atmosphere-fire behavior prediction systems (e.g., WRF-SFire, WFDS, QUIC-Fire, FIRETEC) and coupled atmosphere-canopy-smoke dispersion prediction systems (e.g., ARPS-Canopy/FLEXPART). The large-scale field experiment includes data from a heavily instrumented ~12.1 hectare (ha) management-scale fire conducted at the Silas Little Experimental Forest in the Pinelands National Reserve (PNR) on March 13, 2019.

This data publication contains terrestrial laser scans (TLS) data collected using a FARO Focus 3D X 330. A series of scans were taken around 4 (North, South, East and West) tall towers (TT) and 12 (KB1-KB9, S1, W1 and W2) Krem box towers (KT) for both pre- and post-burn conditions. The scans were subset to a 10 m radius around the TT and a 2 m radius around the KT towers. GPS coordinates were collected using a Trimble GeoXH 6000 handheld receiver and post processed to spatially reference scanned subsets. TLS data were used to map instrument locations, evaluate fuel characteristics, and evaluate changes in fuel loading.

Keywords:
fire behavior; fire spread; combustion; computational fluid dynamics; aerodynamic drag ; fuel structure and loading; heat fluxes; prescribed burn; fuel consumption; fuel load; fuel bed depth; terrestrial laser scan; TLS; biota; climatologyMeteorologyAtmosphere; environment; Fire; Fire suppression, pre-suppression; Smoke; Wildland/urban interface; Ecology, Ecosystems, & Environment; Ecology; Fire ecology; Silas Little Experimental Forest; New Jersey; Burlington County; Pinelands National Reserve; PNR; Pine Barrens; NJPB; Pine Lands
Related publications:
  • Gallagher, Michael R.; Skowronski, Nicholas S.; Hadden, Rory M.; Mueller, Eric V.; Clark, Kenneth L.; Campbell-Lochrie, Zakary J.; Walker-Ravena, Carlos; Kremens, Robert L.; Everland, Alexis I.; Patterson, Matthew M.; Cole, Jason A.; Heilman, Warren E.; Charney, Joseph J.; Bian, Xindi; Mell, William E.; Hom, John L.; Im, Seong-kyun; Kiefer, Michael T.; Zhong, Shiyuan; Simeoni, Albert J.; Rangwala, Ali; Di Cristina, Giovanni; Sietz, Joseph. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – burn layout and documentation. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0089
  • Gallagher, Michael R.; Skowronski, Nicholas S.; Hadden, Rory M.; Mueller, Eric V.; Clark, Kenneth L.; Campbell-Lochrie, Zakary J.; Walker-Ravena, Carlos; Kremens, Robert L.; Everland, Alexis I.; Patterson, Matthew M.; Cole, Jason A.; Heilman, Warren E.; Charney, Joseph J.; Bian, Xindi; Mell, William E.; Hom, John L.; Im, Seong-kyun; Kiefer, Michael T.; Zhong, Shiyuan; Simeoni, Albert J.; Rangwala, Ali; Di Cristina, Giovanni. 2022. Multi-scale analyses of wildland fire combustion processes: Small-scale field experiments - plot layout and documentation. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0079
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