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Volume 16, issue 15
Atmos. Chem. Phys., 16, 9549-9561, 2016
https://doi.org/10.5194/acp-16-9549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 9549-9561, 2016
https://doi.org/10.5194/acp-16-9549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Aug 2016

Research article | 01 Aug 2016

Parameterization of single-scattering albedo (SSA) and absorption Ångström exponent (AAE) with EC / OC for aerosol emissions from biomass burning

Rudra P. Pokhrel1, Nick L. Wagner2, Justin M. Langridge3, Daniel A. Lack4, Thilina Jayarathne5, Elizabeth A. Stone5, Chelsea E. Stockwell6, Robert J. Yokelson6, and Shane M. Murphy1 Rudra P. Pokhrel et al.
  • 1Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming, USA
  • 2NOAA Earth System Research Laboratory, Chemical Sciences Division, Boulder, Colorado, USA
  • 3Observation Based Research, Met Office, Fitzroy Road, Exeter, EX1 3PB, UK
  • 4Transport Emissions, Air Quality and Climate Consulting, Brisbane, Australia
  • 5Department of Chemistry, University of Iowa, Iowa City, Iowa, USA
  • 6Department of Chemistry, University of Montana, Missoula, Montana, USA

Abstract. Single-scattering albedo (SSA) and absorption Ångström exponent (AAE) are two critical parameters in determining the impact of absorbing aerosol on the Earth's radiative balance. Aerosol emitted by biomass burning represent a significant fraction of absorbing aerosol globally, but it remains difficult to accurately predict SSA and AAE for biomass burning aerosol. Black carbon (BC), brown carbon (BrC), and non-absorbing coatings all make substantial contributions to the absorption coefficient of biomass burning aerosol. SSA and AAE cannot be directly predicted based on fuel type because they depend strongly on burn conditions. It has been suggested that SSA can be effectively parameterized via the modified combustion efficiency (MCE) of a biomass burning event and that this would be useful because emission factors for CO and CO2, from which MCE can be calculated, are available for a large number of fuels. Here we demonstrate, with data from the FLAME-4 experiment, that for a wide variety of globally relevant biomass fuels, over a range of combustion conditions, parameterizations of SSA and AAE based on the elemental carbon (EC) to organic carbon (OC) mass ratio are quantitatively superior to parameterizations based on MCE. We show that the ECOC ratio and the ratio of EC(EC+OC) both have significantly better correlations with SSA than MCE. Furthermore, the relationship of EC(EC+OC) with SSA is linear. These improved parameterizations are significant because, similar to MCE, emission factors for EC (or black carbon) and OC are available for a wide range of biomass fuels. Fitting SSA with MCE yields correlation coefficients (Pearson's r) of  ∼ 0.65 at the visible wavelengths of 405, 532, and 660nm while fitting SSA with EC/OC or EC/(EC+OC) yields a Pearson's r of 0.94–0.97 at these same wavelengths. The strong correlation coefficient at 405nm (r = 0.97) suggests that parameterizations based on EC/OC or EC/(EC+OC) have good predictive capabilities even for fuels in which brown carbon absorption is significant. Notably, these parameterizations are effective for emissions from Indonesian peat, which have very little black carbon but significant brown carbon (SSA = 0.990±0.001 at 532 and 660nm, SSA = 0.937±0.011 at 405nm). Finally, we demonstrate that our parameterization based on EC/(EC+OC) accurately predicts SSA during the first few hours of plume aging with data from Yokelson et al. (2009) gathered during a biomass burning event in the Yucatán Peninsula of Mexico.

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This paper gives first multi-wavelength estimates of SSA and AAE of emissions from combustion of Indonesian peat. In addition, it demonstrates that SSA of biomass burning emissions can be parameterized with EC / (EC+OC) and that this parameterization is quantitatively superior to previously published parameterizations based on MCE. It also shows that EC / (EC+OC) parameterization accurately predicts SSA during the first few hours of aging of a biomass burning plume.
This paper gives first multi-wavelength estimates of SSA and AAE of emissions from combustion of...
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