2016
DOI: 10.5194/acp-16-9201-2016
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The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol

Abstract: Abstract. We quantified the effects of the plume rise of biomass burning aerosol and gases for the forest fires that occurred in Saskatchewan, Canada, in July 2010. For this purpose, simulations with different assumptions regarding the plume rise and the vertical distribution of the emissions were conducted. Based on comparisons with observations, applying a one-dimensional plume rise model to predict the injection layer in combination with a parametrization of the vertical distribution of the emissions outper… Show more

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Cited by 34 publications
(21 citation statements)
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“…7a. Given its long atmospheric lifetime (Wang and Prinn, 1999), CO can be used as an inert tracer to ac- count for the effects of dilution. A line of regression therefore indicates the source strengths and deviation from this line arise from changes in the organic aerosol due to photolytic effects, secondary organic aerosol (SOA) enhancements, wet removal or dry deposition.…”
Section: Observationsmentioning
confidence: 99%
“…7a. Given its long atmospheric lifetime (Wang and Prinn, 1999), CO can be used as an inert tracer to ac- count for the effects of dilution. A line of regression therefore indicates the source strengths and deviation from this line arise from changes in the organic aerosol due to photolytic effects, secondary organic aerosol (SOA) enhancements, wet removal or dry deposition.…”
Section: Observationsmentioning
confidence: 99%
“…For example, uncertainties in cloud predictions affect vertical transport of aerosols and trace gases within clouds [e.g., Barth et al ., ], wet removal [e.g., Croft et al ., ; Wang et al ., ], and photochemical processes below and above clouds [e.g., Liu et al ., ]. In the cloud‐free environment, uncertainties in simulated boundary layer depth and turbulent mixing affect aerosol and precursor concentrations as well as chemical production rates and uncertainties in simulated temperature profiles that affect the buoyancy and injection height of biomass burning plumes [e.g., Walter et al ., ]. There are also limited comprehensive sets of in situ measurements of aerosol microphysical and optical properties aloft needed to evaluate models, compared to the amount of data collected at the surface.…”
Section: Introductionmentioning
confidence: 99%
“…For the model runs, EDGAR (Emission Database for Global Atmospheric Research) emission data were used for the anthropogenic emission of gases and aerosols. Natural emissions of biogenic volatile organic compounds, sea salt (Lundgren et al, 2013), mineral dust 130 (Stanelle et al, 2010) and GFAS (Global Fire Assimilation System) emissions from vegetation fires (Kaiser et al, 2012;Walter et al, 2016) are calculated for each model time step. There was a spin-up time of 7 days (29 June to 5 July) and results were observed for 24 hours on 6 July.…”
mentioning
confidence: 99%