Title:

Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – three-dimensional wind and temperature

Author(s):

Clark, Kenneth L.; Gallagher, Michael R.; Mueller, Eric V.; Hadden, Rory M.; Walker-Ravena, Carlos; Campbell-Lochrie, Zakary J.; Cole, Jason A.; Patterson, Matthew M.; Everland, Alexis I.; Skowronski, Nicholas S.

Publication Year:

2023

How to Cite:

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Clark, Kenneth L.; Gallagher, Michael R.; Mueller, Eric V.; Hadden, Rory M.; Walker-Ravena, Carlos; Campbell-Lochrie, Zakary J.; Cole, Jason A.; Patterson, Matthew M.; Everland, Alexis I.; Skowronski, Nicholas S. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – three-dimensional wind and temperature. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0095

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 data collected from 22 sonic anemometers (81000v, R.M. Young Inc.). Fifteen sonic anemometers were mounted on 5 meteorological towers within the burn area and a 3 sonics were mounted on the control tower approximately 225 meters (m) outside the burn permitter to the north. Three sonics anemometers were mounted on each tower at approximately 3, 10 and 19 m above the ground. Four additional sonics where installed around the west tower at approximately 3 m to compare with the 10 x 10-meter burns (small-scale field experiments). Sonic anemometers were logged at 10 hertz (Hz) using CR3000 dataloggers (Campbell Scientific). The Sonic data were used to explore fine-scale patterns of vertical turbulence above flame fronts. Pre-fire data were used to quantify ambient wind conditions before and after fire front passage, turbulence, sensible (convective) heat fluxes, and momentum fluxes above flame fronts during fires. Data include sampled horizontal and vertical wind speed (meters per second [m/s]) and temperature (degrees Celsius [°C]).

Keywords:

fire behavior; fire spread; combustion; computational fluid dynamics; aerodynamic drag ; fuel structure and loading; heat fluxes; sensible heat fluxes; convective; heat fluxes; prescribed burn; prescribed fire; temperature; 3-dimentional turbulence; wind direction; wind speed; biota; climatologyMeteorologyAtmosphere; environment; Fire; 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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