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Publication Details

Title:
Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – atmospheric pressure
Author(s):
Heilman, Warren E.; Skowronski, Nicholas S.; Charney, Joseph J.; Clark, Kenneth L.; Gallagher, Michael R.; Hom, John L.; Zhong, Shiyuan; Bian, Xindi; Cole, Jason A.; 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:
Heilman, Warren E.; Skowronski, Nicholas S.; Charney, Joseph J.; Clark, Kenneth L.; Gallagher, Michael R.; Hom, John L.; Zhong, Shiyuan; Bian, Xindi; Cole, Jason A.; Patterson, Matthew M. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – atmospheric pressure. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0093
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 air pressure data collected from nine pressure sensors (Bosch BMP 180/ BMP 280). Seven pressure sensors were located within the burn area, three were located on the west tower at approximately 2.5, 8.5 and 15 meters (m) above the ground and one on each of the four surrounding understory towers at approximately 2.5 m above the ground. Two pressure sensors were located on the control tower approximately 225 m north of the burn area mounted at approximately 2.5 and 19.5 m above the ground. The understory pressure sensors were installed to compare with the 10 x 10-m burns (small-scale field experiments). Pressure sensors were logged at 10 hertz (Hz) using CR6 dataloggers (Campbell Scientific). The pressure sensor data were used to examine fine-temporal resolution variation in atmospheric pressure associated with the passage of fire fronts. Data include temperature (degrees Celsius [°C]) and air pressure (millibars [mbar]).

Keywords:
fire behavior; fire spread; combustion; computational fluid dynamics; drag forces; fuel structure; heat fluxes; prescribed burn; prescribed fire; prescribed energy release; atmospheric pressure; biota; climatologyMeteorologyAtmosphere; environment; Fire suppression, pre-suppression; Prescribed fire; Smoke; Wildland/urban interface; 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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