PATTERSONMM_2025-02-20_856ENicholasSkowronskiUSDA Forest ServiceResearch Foresterhttps://orcid.org/0000-0002-5801-5614JasonColeUSDA Forest ServiceForester

5 Moon Library, SUNY-ESF1 Forestry DriveSyracuseNY13210

jason.cole2@usda.govhttps://orcid.org/0000-0003-2678-3624Matthew M.PattersonUSDA Forest ServiceSoil Conservationisthttps://orcid.org/0000-0001-5115-4438KevinBrownUSDA Forest ServiceForestry Technicianhttps://orcid.org/0000-0003-4453-0938MichaelGallagherUSDA Forest ServiceResearch Ecologisthttps://orcid.org/0000-0003-0175-558XDougAubreyUniversity of GeorgiaAssociate Professorhttps://orcid.org/0000-0002-2919-6399Muthu KumaranSelvarajWorcester Polytechnic InstituteAssistant Research Professorhttps://orcid.org/0000-0003-1286-6744NavyaMunirajWorcester Polytechnic InstitutePhD StudentWeixuanGongWorcester Polytechnic InstitutePhD StudentAlbertSimeoniWorcester Polytechnic InstituteProfessor and Department Headhttps://orcid.org/0000-0002-5497-3794ScottPokswinskiFire Science Applications New Mexico ConsortiumDirector of Fire Science Applicationshttps://orcid.org/0000-0001-5753-4132RoryHaddenUniversity of EdinburghProfessor and Personal Chair of Fire Sciencehttps://orcid.org/0000-0001-6985-8900This dataset contains temperature data (degrees Celsius) collected using Omega K-type thermocouples (KMTXL-IOM25G-150, Omega Engineering Inc., Norwalk, CT) during multiple static field experiments at Savannah River Site (SRS) between May 2023 and June 2025. Temperature data were collected at 10-Hz.The data is from a series of experiments using liquid pool fires and small-scale laboratory work to characterize the way structure and heterogeneity of fuel elements change the drag and convective heat transfer in plume dynamics. Other datasets were collected and complement this dataset as part of the Department of Defense project RC20-1362.The SRS field experiments were conducted using multiple pan configurations within a 2-ha loblolly and long leaf pine plantation. Understory vegetation was removed in all burns and tree density reduced in some burns. Temperature data were collected using Eighty-four Omega K-type thermocouples arranged in vertical profiles on 11 towers around the pan area with the attempt to have 10 towers downwind and one tower upwind. Two tower series (3 towers each) each had a total of seven thermocouples. The remaining 5 towers each had fourteen thermocouples. Multiple configurations were used based on instrument availability and prevailing winds.For exact thermocouple location and pan configuration for each burn, see burn layout and documentation dataset: A Multiscale study of the coupling between flow, fire and vegetation: field experiments – burn layout and documentation (https://doi.org/10.60594/W4NC73, see Annotations section for Metadata link).temperaturecombustiontemperature profilethermocoupleheat fluxessensible heat fluxesconvective heat transferData Types and Measurement Variablesconvective heat fluxesplume dynamicsRC20-1362fire behaviorprescribed burnprescribed firefirelongleaf pine forestpool firesstatic firessmokeTall Timbers Research Station and Land Conservancynorth FloridaSavannah River SiteSouth CarolinaNoneThis work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.Savannah River Site, Aiken, South Carolina, USA-81.833391-81.41811033.41502633.0046362023-05-232025-06-13https://datacite-metadata-schema.readthedocs.io/en/4.5/appendices/appendix-1/relationType/#hasMetadatahttps://doi.org/10.60594/W4NC73https://schema.org/archivedAthttps://app.globus.org/file-manager?origin_id=095b965e-aa6f-4774-83f8-bf49706d753c&origin_path=/PATTERSONMM_2025-02-20_856E/https://schema.org/archivedAthttps://tier2.wfsi-data.org/PATTERSONMM_2025-02-20_856E/JasonColeUSDA Forest ServiceForester

5 Moon Library, SUNY-ESF1 Forestry DriveSyracuseNY13210

jason.cole2@usda.govhttps://orcid.org/0000-0003-2678-3624Data set is part of a larger experiment evaluating the relationship between vegetation, air flow, and fire. Ninety-two static pool fires were conducted at the Savannah River Site in South Carolina. Other datasets collected with this project include Terrestrial Laser Scans (TLS), sonic anemometer three-dimensional wind, video and burn layout and documentation. The burn layout and documentation dataset describe the arrangement of sensors surrounding the static pool fires.A multiscale study of the coupling between flow, fire and vegetation static field experiments: burn layout and documentation form 2022-2025 (https://doi.org/10.60594/W4NC73) describes the entire project including all datasets collected, sensor specifications and sensors arrangements surrounding the static pool fires.All burns were conducted within a 2-ha loblolly and longleaf pine plantation with a row spacing of approximately 2.5-m. The trees in the plantation had an average height of 13-m and an average DBH of 21-cm. Burns 1-43 the understory vegetation was removed but canopy was left intact. Burns 44-67 the tree density was reduced by two thirds, removing every third row in both the east/west and north/south directions. Burns 68-85 increased understory vegetation and hurricane Helene damage occurred in the fall of 2024.Reference https://doi.org/10.60594/W4NC73 for burn configurations.The amount of fuel for each pool fire experiment was defined by the number and alignment of pans. Each pan is 0.5-m square and 5-cm deep and containing a 50/50 mix of vegetable oil and diesel fuel (3.8-L each).Reference https://doi.org/10.60594/W4NC73 for burn pan configurations.Eighty-four thermocouples were arranged in vertical profiles on 11 towers surrounding the pan area. Multiple configurations were used due to change in wind direction. Tower sensor heights remained constant, only tower locations changed. Towers C and E were fixed and did not move.A towers (A1, A2, A3) had a total of seven thermocouples. All towers had 2 thermocouples at 3.3 and 4.9-m (1-m and 1.5-m). A2 has an additional thermocouple at 1.6-ft (0.5-m).B towers (B1, B2, B3) had a total of seven thermocouples. All towers had 2 thermocouples at 5.9 and 7.9-ft (1.8-m and 2.4-m). B2 has an additional thermocouple at 3.9-ft (1.2-m).C and D towers (C, D1, D2, and D3) had fourteen thermocouples on each tower. Thermocouple heights were 11.8, 13.8, 15.7, 17.7, 19.7, 21.7, 23.6, 25.6, 27.6, 29.5, 31.5, 33.5, 35.4, 37.4-ft (3.6, 4.2, 4.8, 5.4, 6.0, 6.6, 7.2, 7.8, 8.4, 9.0, 9.6, 10.2, 10.8, and 11.4-m).Tower E had fourteen thermocouples. Thermocouple heights were 2.3, 5.2, 7.9, 10.5, 13.1, 15.7, 18.4, 21, 23.6, 26.2, 28.9, 31.5, 34.1 and 36.4-ft (0.8, 1.6, 2.4, 3.2, 4.0, 4.8, 5.6, 6.4, 7.2, 8.0, 8.8, 9.6, 10.4, and 11.2-m).Reference https://doi.org/10.60594/W4NC73 for exact sensor locations.Omega Engineering thermocouples (KMTXL-IOM25G-150) were used with factory calibrations. K-type (Nickel Chromium) thermocouples have a most useful range of 0 to 200 degrees Celsius (°C) and a maximum range of -200 to 1250 °C. Reported accuracy is 0.5 °C or 0.4% of measured values.Specifications for the thermocouples can be found in the users manual (thermocouple-type-k-celsius.pdf) provided in this dataset.All thermocouple data were manually inspected. All data include a DIAG code to identify suspect data (DIAG = 0 – valid, 1 – suspect). It is the user’s responsibility to ensure that these data are adequate for their study. See *_TC_Error.csv for amount of missing or suspect data in each file.Note: If a sensor malfunctioned or did not collect for the entire burn period, no data were archived.Post-processingArchive time – datasets were cut to the archive start and end times listed in the BurnDate.csv (DOI).Missing data – TIMESTAMP and RECORD were added to align sensors, variables with missing timestamps were set to NaN.Graphs – HTML graphs were created for each sensor to visually inspect the data.Suspect data – a simple visual diagnostic check was performed using the graphs where diagnostic codes were assigned (DIAG = 0 - valid, 1 - suspect).Final graphs – HTML graphs were recreated plotting only valid data (DIAG = 0).Error – error tables were created for each location and tower series (A, B, C, D, E) identifying missing data from the start and end of each sensor and the amount of suspect data with a DIAG = 1. Tower groups were used to match sensors at the same height.Note – If a sensor malfunctioned or did not collect for the entire burn period, no data were archived.AlbertSimeoniWorcester Polytechnic Instituteasimeoni@wpi.eduhttps://orcid.org/0000-0002-5497-3794Principal InvestigatorU. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP)http://dx.doi.org/10.13039/100013316RC20-1362