More Like this

1. Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire

   https://doi.org/10.5194/acp-21-14427-2021  

   Ye, Xinxin ; Arab, Pargoal ; Ahmadov, Ravan ; James, Eric ; Grell, Georg A. ; Pierce, Bradley ; Kumar, Aditya ; Makar, Paul ; Chen, Jack ; Davignon, Didier ; et al ( January 2021 , Atmospheric Chemistry and Physics)

   Abstract. Wildfire smoke is one of the most significant concerns ofhuman and environmental health, associated with its substantial impacts onair quality, weather, and climate. However, biomass burning emissions andsmoke remain among the largest sources of uncertainties in air qualityforecasts. In this study, we evaluate the smoke emissions and plumeforecasts from 12 state-of-the-art air quality forecasting systemsduring the Williams Flats fire in Washington State, US, August 2019, whichwas intensively observed during the Fire Influence on Regional to GlobalEnvironments and Air Quality (FIREX-AQ) field campaign. Model forecasts withlead times within 1 d are intercompared under the same framework basedon observations from multiple platforms to reveal their performanceregarding fire emissions, aerosol optical depth (AOD), surface PM2.5,plume injection, and surface PM2.5 to AOD ratio. The comparison ofsmoke organic carbon (OC) emissions suggests a large range of daily totalsamong the models, with a factor of 20 to 50. Limited representations of thediurnal patterns and day-to-day variations of emissions highlight the needto incorporate new methodologies to predict the temporal evolution andreduce uncertainty of smoke emission estimates. The evaluation of smoke AOD(sAOD) forecasts suggests overall underpredictions in both the magnitude andsmoke plume area for nearly all models, although the high-resolution modelshave a better representation of the fine-scale structures of smoke plumes.Themore »models driven by fire radiativepower (FRP)-based fire emissions or assimilating satellite AODdata generally outperform the others. Additionally, limitations of thepersistence assumption used when predicting smoke emissions are revealed bysubstantial underpredictions of sAOD on 8 August 2019, mainly over thetransported smoke plumes, owing to the underestimated emissions on7 August. In contrast, the surface smoke PM2.5 (sPM2.5) forecastsshow both positive and negative overall biases for these models, with mostmembers presenting more considerable diurnal variations of sPM2.5.Overpredictions of sPM2.5 are found for the models driven by FRP-basedemissions during nighttime, suggesting the necessity to improve verticalemission allocation within and above the planetary boundary layer (PBL).Smoke injection heights are further evaluated using the NASA LangleyResearch Center's Differential Absorption High Spectral Resolution Lidar(DIAL-HSRL) data collected during the flight observations. As the firebecame stronger over 3–8 August, the plume height became deeper, with aday-to-day range of about 2–9 km a.g.l. However, narrower ranges arefound for all models, with a tendency of overpredicting the plume heights forthe shallower injection transects and underpredicting for the days showingdeeper injections. The misrepresented plume injection heights lead toinaccurate vertical plume allocations along the transects corresponding totransported smoke that is 1 d old. Discrepancies in model performance forsurface PM2.5 and AOD are further suggested by the evaluation of theirratio, which cannot be compensated for by solely adjusting the smoke emissionsbut are more attributable to model representations of plume injections,besides other possible factors including the evolution of PBL depths andaerosol optical property assumptions. By consolidating multiple forecastsystems, these results provide strategic insight on pathways to improvesmoke forecasts.« less
2. Wildfire Smoke Observations in the Western United States from the Airborne Wyoming Cloud Lidar during the BB-FLUX Project. Part I: Data Description and Methodology

   https://doi.org/10.1175/JTECH-D-21-0092.1  

   Deng, Min ; Wang, Zhien ; Volkamer, Rainer ; Snider, Jefferson R. ; Oolman, Larry ; Plummer, David M. ; Kille, Natalie ; Zarzana, Kyle J. ; Lee, Christopher F. ; Campos, Teresa ; et al ( May 2022 , Journal of Atmospheric and Oceanic Technology)

   During the summer of 2018, the upward-pointing Wyoming Cloud Lidar (WCL) was deployed on board the University of Wyoming King Air (UWKA) research aircraft for the Biomass Burning Flux Measurements of Trace Gases and Aerosols (BB-FLUX) field campaign. This paper describes the generation of calibrated attenuated backscatter coefficients and aerosol extinction coefficients from the WCL measurements. The retrieved aerosol extinction coefficients at the flight level strongly correlate (correlation coefficient, rr > 0.8) with in situ aerosol concentration and carbon monoxide (CO) concentration, providing a first-order estimate for converting WCL extinction coefficients into vertically resolved CO and aerosol concentration within wildfire smoke plumes. The integrated CO column concentrations from the WCL data in nonextinguished profiles also correlate (rr = 0.7) with column measurements by the University of Colorado Airborne Solar Occultation Flux instrument, indicating the validity of WCL-derived extinction coefficients. During BB-FLUX, the UWKA sampled smoke plumes from more than 20 wildfires during 35 flights over the western United States. Seventy percent of flight time was spent below 3 km above ground level (AGL) altitude, although the UWKA ascended up to 6 km AGL to sample the top of some deep smoke plumes. The upward-pointing WCL observed a nearly equalmore »amount of thin and dense smoke below 2 km and above 5 km due to the flight purpose of targeted fresh fire smoke. Between 2 and 5 km, where most of the wildfire smoke resided, the WCL observed slightly more thin smoke than dense smoke due to smoke spreading. Extinction coefficients in dense smoke were 2–10 times stronger, and dense smoke tended to have larger depolarization ratio, associated with irregular aerosol particles.

   « less
3. Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation

   https://doi.org/10.5194/amt-14-7929-2021  

   Griffin, Debora ; McLinden, Chris A. ; Dammers, Enrico ; Adams, Cristen ; Stockwell, Chelsea E. ; Warneke, Carsten ; Bourgeois, Ilann ; Peischl, Jeff ; Ryerson, Thomas B. ; Zarzana, Kyle J. ; et al ( January 2021 , Atmospheric Measurement Techniques)

   Abstract. Smoke from wildfires is a significant source of air pollution, which can adversely impact air quality and ecosystems downwind. With the recently increasing intensity and severity of wildfires, the threat to air quality is expected to increase. Satellite-derived biomass burning emissions can fill in gaps in the absence of aircraft or ground-based measurement campaigns and can help improve the online calculation of biomass burning emissions as well as the biomass burning emissions inventories that feed air quality models. This study focuses on satellite-derived NOx emissions using the high-spatial-resolution TROPOspheric Monitoring Instrument (TROPOMI) NO2 dataset. Advancements and improvements to the satellite-based determination of forest fire NOx emissions are discussed, including information on plume height and effects of aerosol scattering and absorption on the satellite-retrieved vertical column densities. Two common top-down emission estimation methods, (1) an exponentially modified Gaussian (EMG) and (2) a flux method, are applied to synthetic data to determine the accuracy and the sensitivity to different parameters, including wind fields, satellite sampling, noise, lifetime, and plume spread. These tests show that emissions can be accurately estimated from single TROPOMI overpasses.The effect of smoke aerosols on TROPOMI NO2 columns (via air mass factors, AMFs) is estimated, and these satellitemore »columns and emission estimates are compared to aircraft observations from four different aircraft campaigns measuring biomass burning plumes in 2018 and 2019 in North America. Our results indicate that applying an explicit aerosol correction to the TROPOMI NO2 columns improves the agreement with the aircraft observations (by about 10 %–25 %). The aircraft- and satellite-derived emissions are in good agreement within the uncertainties. Both top-down emissions methods work well; however, the EMG method seems to output more consistent results and has better agreement with the aircraft-derived emissions. Assuming a Gaussian plume shape for various biomass burning plumes, we estimate an average NOx e-folding time of 2 ±1 h from TROPOMI observations. Based on chemistry transport model simulations and aircraft observations, the net emissions of NOx are 1.3 to 1.5 times greater than the satellite-derived NO2 emissions. A correction factor of 1.3 to 1.5 should thus be used to infer net NOx emissions from the satellite retrievals of NO2.« less
4. Simulating the forest fire plume dispersion, chemistry, and aerosol formation using SAM-ASP version 1.0

   https://doi.org/10.5194/gmd-13-4579-2020  

   Lonsdale, Chantelle R. ; Alvarado, Matthew J. ; Hodshire, Anna L. ; Ramnarine, Emily ; Pierce, Jeffrey R. ( January 2020 , Geoscientific Model Development)

   Abstract. Biomass burning is a major source of trace gases andaerosols that can ultimately impact health, air quality, and climate.Global and regional-scale three-dimensional Eulerian chemical transportmodels (CTMs) use estimates of the primary emissions from fires and canunphysically mix them across large-scale grid boxes, leading to incorrectestimates of the impact of biomass burning events. On the other hand,plume-scale process models allow for explicit simulation and examination ofthe chemical and physical transformations of trace gases and aerosols withinbiomass burning smoke plumes, and they may be used to developparameterizations of this aging process for coarser grid-scale models. Herewe describe the coupled SAM-ASP plume-scale process model, which consists ofcoupling the large-eddy simulation model, the System for AtmosphericModelling (SAM), with the detailed gas and aerosol chemistry model, theAerosol Simulation Program (ASP). We find that the SAM-ASP version 1.0 modelis able to correctly simulate the dilution of CO in a California chaparralsmoke plume, as well as the chemical loss of NOx, HONO, and NH3within the plume, the formation of PAN and O3, the loss of OA, and thechange in the size distribution of aerosols as compared to measurements andprevious single-box model results. The newly coupled model is able tocapture the cross-plume vertical and horizontal concentration gradientsmore »asthe fire plume evolves downwind of the emission source. The integration andevaluation of SAM-ASP version 1.0 presented here will support thedevelopment of parameterizations of near-source biomass burning chemistrythat can be used to more accurately simulate biomass burning chemical andphysical transformations of tracegases and aerosols within coarser grid-scale CTMs.« less
5. Bushfire smoke plume composition and toxicological assessment from the 2019–2020 Australian Black Summer

   https://doi.org/10.1007/s11869-022-01237-5  

   Simmons, Jack B. ; Paton-Walsh, Clare ; Mouat, Asher P. ; Kaiser, Jennifer ; Humphries, Ruhi S. ; Keywood, Melita ; Griffith, David W. T. ; Sutresna, Adhitya ; Naylor, Travis ; Ramirez-Gamboa, Jhonathan ( September 2022 , Air Quality, Atmosphere & Health)

   Many of the population centres in southeast Australia were swathed in bushfire smoke during the 2019–2020 austral summer. Bushfires burning during what is now known as the Black Summer was historically large and severe, and the fire season historically long. The chemical composition in the gas and aerosol phase of aged plumes measured near Wollongong, NSW in early 2020 is reported in this work. Enhancement ratios to carbon monoxide are presented for thirteen species (acetaldehyde, acetone, acetonitrile, black carbon aerosol, benzene, methane, methacrolein + methyl vinyl ketone, methyl ethyl ketone, methanol, ammonium ion PM₁fraction, nitrate ion PM₁fraction, organic PM₁fraction and PM_2.5). Observed plume composition is comparable to that measured in fresh smoke from Australian fires reported in the literature. Enhancements of biogenic volatile organic compounds such as isoprene (smoke-effected period mean 1 ppb, maximum 6 ppb) were observed along with elevated concentrations of particulate variables. Enhancement ratios reported here can be used in plume modelling of landscape-scale fires and assist in concentration estimates of infrequently measured atmospheric pollutants. The relative toxicological contribution of species present in the plumes was determined for plume exposure at the measurement site and for concentrated plumes at a population centre case study. Similar results were apparent at bothmore »locations. Contributions to the toxicological loading were dominated by respirable particles (~ 52–63% total contribution), formaldehyde (~ 30–39% total contribution) and acrolein. This is a reminder to consider the toxicological contributions in the gas phase when considering health impacts of population exposure to bushfire smoke.

   « less