Publication Details
- Title:
- Multi-scale analyses of wildland fire combustion processes: Small-scale field experiments – plot layout and documentation
- Author(s):
-
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 - Publication Year:
- 2022
- 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:
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
- 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) "small-scale field experiments were designed to investigate how contrasting fuel conditions (e.g., fuel load, particle type, bulk density), fire spread type (e.g., heading vs. backing), and ambient conditions (e.g., seasonality, moisture, flow, temperature) influenced physical processes associated with combustion (e.g., heat transfer, flame propagation, flow) and the scale-dependent coupling of these processes. Additionally, these experiments provide 1) a linkage between small-scale laboratory combustion experiments and large-scale operational prescribed fires, and 2) archived datasets for further model development and evaluation. Our experimental design incorporates complementary approaches, methods, and instrumentation employed at these other scales, to quantify critical properties of the experimental fires’ physics domains (e.g., fuels and ambient conditions) and processes associated with combustion (e.g., heat transfer, flame propagation, flow). The small-scale field experiments include a series of highly instrumented, intermediate-scale experiments conducted on 100 square meter plots at the Silas Little Experimental Forest, New Lisbon, New Jersey.
This dataset contains detailed documentation describing the data collected on thirty-five 10x10 meter burns in 2018 and 2019, including a basic burn summary (time of burn, meteorological conditions, fuel load and ignition location) and a plot layout describing sensor locations for each burn. - Keywords:
- fire behavior; fire spread; combustion; computational fluid dynamics; aerodynamic drag; fuel structure and loading; heat flux; prescribed burn; prescribed fire; prescribed energy release; temperature; wind direction; wind speed; calorimetry; oxygen concentration; carbon dioxide concentrations; carbon monoxide concentrations; 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; Pinelands
- Metrics:
- Visit count : 378
Download count: 45
More details - Data Access:
-
- View metadata (HTML)
- View file index (HTML), which lists all files in this data publication and short description of their contents
- Download all files below for the complete publication:
- RDS-2022-0079.zip (36.49 MB; sha256: 661ed4e4cd11aa5b343bb2fdcf8af30f14b73ba2d7f0f220b5113b907824bb40Checksum)
- RDS-2022-0079.zip (36.49 MB;
Need information about Using our Formats?