Reference and sensor data from grassland prescribed burn experiments in 2017 and chamber burn experiments in 2018 used in the paper "Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes" by Whitehill et al.

Reference and sensor data from grassland prescribed burn experiments in 2017 and chamber burn experiments in 2018 used in the paper "Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes" by Whitehill et al. This dataset is associated with the following publication: Whitehill, A., R. Long, S. Urbanski, M. Colon, A. Habel, and M. Landis. Evaluation of carpool and aeroqual air sensors in biomass burning plumes. ATMOSPHERE. MDPI, Basel, SWITZERLAND, 13(6): 877, (2022).

Reference and sensor data from grassland prescribed burn experiments in 2017 and chamber burn experiments in 2018 used in the paper "Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes" by Whitehill et al. This dataset is associated with the following publication: Whitehill, A., R. Long, S. Urbanski, M. Colon, A. Habel, and M. Landis. Evaluation of carpool and aeroqual air sensors in biomass burning plumes. ATMOSPHERE. MDPI, Basel, SWITZERLAND, 13(6): 877, (2022).

High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).

High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).

This dataset contains the data for figures in the paper "An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models". Only figures 5,6,7,8,9,10,11,12,13 have data associated with them. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, T. Pierce, A. Soja, H. Choi, E. Gargulinski, R. Gilliam, J. Vukovich, and M. Landis. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 31(2): 193-211, (2022).

This dataset contains the data for figures in the paper "An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models". Only figures 5,6,7,8,9,10,11,12,13 have data associated with them. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, T. Pierce, A. Soja, H. Choi, E. Gargulinski, R. Gilliam, J. Vukovich, and M. Landis. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 31(2): 193-211, (2022).

Wildland Fire Sensor Challenge Solver sensor system measurements and EPA reference method measurements (PM2.5, carbon monoxide, carbon dioxide, ozone) from Phase I EPA research chamber (Chapel Hill, NC) and Phase II U.S. Forest Service (Missoula, MT) combustion chamber testing. This dataset is associated with the following publication: Landis, M., R. Long, J.D. Krug, M. Colon, R. Vanderpool, A. Habel, and S. Urbanski. The U.S. EPA Wildland Fire Sensor Challenge: Performance and Evaluation of Solver Submitted Multi-Pollutant Sensor Systems. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: NA, (2021).

Emissions from a stand replacement prescribed burn were sampled using an unmanned aircraft system (UAS, or “drone”) in Fishlake National Forest, Utah, U.S.A. Sixteen flights over three days in June 2019 provided emission factors for a broad range of compounds including carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), nitrogen oxide (NO2), particulate matter < 2.5 microns in diameter (PM2.5), volatile organic compounds (VOCs) including carbonyls, black carbon, and elemental/organic carbon. To our knowledge, this is the first UAS-based emission sampling for a fire of this magnitude, including both slash pile and crown fires resulting in wildfire-like conditions. The burns consisted of drip torch ignitions as well as ground-mobile and aerial helicopter ignitions of large stands comprising over 1,000 ha, allowing for comparison of same-species emission factors burned under different conditions. The use of a UAS for emission sampling minimizes risk to personnel and equipment, allowing flexibility in sampling location and ensuring capture of representative, fresh smoke constituents. PM2.5 emission factors varied 5-fold and, like most pollutants, varied inversely with combustion efficiency resulting in lower emission factors from the slash piles than the crown fires. This dataset is associated with the following publication: Aurell, J., B. Gullett, A. Holder, F. Kiros, B. Mitchell, A. Watts, and R. Ottmar. Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: 118193, (2021).

Emissions from a stand replacement prescribed burn were sampled using an unmanned aircraft system (UAS, or “drone”) in Fishlake National Forest, Utah, U.S.A. Sixteen flights over three days in June 2019 provided emission factors for a broad range of compounds including carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), nitrogen oxide (NO2), particulate matter < 2.5 microns in diameter (PM2.5), volatile organic compounds (VOCs) including carbonyls, black carbon, and elemental/organic carbon. To our knowledge, this is the first UAS-based emission sampling for a fire of this magnitude, including both slash pile and crown fires resulting in wildfire-like conditions. The burns consisted of drip torch ignitions as well as ground-mobile and aerial helicopter ignitions of large stands comprising over 1,000 ha, allowing for comparison of same-species emission factors burned under different conditions. The use of a UAS for emission sampling minimizes risk to personnel and equipment, allowing flexibility in sampling location and ensuring capture of representative, fresh smoke constituents. PM2.5 emission factors varied 5-fold and, like most pollutants, varied inversely with combustion efficiency resulting in lower emission factors from the slash piles than the crown fires. This dataset is associated with the following publication: Aurell, J., B. Gullett, A. Holder, F. Kiros, B. Mitchell, A. Watts, and R. Ottmar. Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: 118193, (2021).