Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2017-6
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
11 Jan 2017
Review status
A revision of this discussion paper was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.
Global-scale combustion sources of organic aerosols: Sensitivity to formation and removal mechanisms
Alexandra P. Tsimpidi1, Vlassis A. Karydis1, Spyros N. Pandis2,3, and Jos Lelieveld1,4 1Max Planck Institute for Chemistry, Mainz, Germany
2Department of Chemical Engineering, University of Patras, Patras, Greece
3Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
4Energy, Environment and Water Research Center, Cyprus Institute, Nicosia, Cyprus
Abstract. Organic compounds from combustion sources such as biomass burning and fossil fuel use are major contributors to the global atmospheric load of aerosols. We analyzed the sensitivity of model-predicted global-scale organic aerosols (OA) to parameters that control primary emissions, photochemical aging and the scavenging efficiency of organic vapors. We used a computationally efficient module for the description of OA composition and evolution in the atmosphere (ORACLE) of the global chemistry-climate model EMAC. A global dataset of aerosol mass spectrometer measurements was used to evaluate simulated primary (POA) and secondary OA (SOA) concentrations. Model results are sensitive to the emission rates of intermediate volatility organic compounds (IVOCs) and POA. Assuming enhanced reactivity of semi-volatile organic compounds (SVOCs) and IVOCs with OH substantially improved the model performance for SOA. Use of a hybrid approach for the parameterization of the aging of IVOCs had a small effect on predicted SOA levels. The model performance improved by assuming that freshly emitted organic compounds are relatively hydrophobic and become increasingly hygroscopic due to oxidation.

Citation: Tsimpidi, A. P., Karydis, V. A., Pandis, S. N., and Lelieveld, J.: Global-scale combustion sources of organic aerosols: Sensitivity to formation and removal mechanisms, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-6, in review, 2017.
Alexandra P. Tsimpidi et al.
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of Tsimpidi et al.', Anonymous Referee #1, 07 Mar 2017 Printer-friendly Version 
AC1: 'response to referee #1', Alexandra Tsimpidi, 02 May 2017 Printer-friendly Version Supplement 
 
RC2: 'Review of Tsimpidi et al.,', Anonymous Referee #2, 23 Mar 2017 Printer-friendly Version Supplement 
AC2: 'response to referee #2', Alexandra Tsimpidi, 02 May 2017 Printer-friendly Version Supplement 
Alexandra P. Tsimpidi et al.
Alexandra P. Tsimpidi et al.

Viewed

Total article views: 383 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
273 67 43 383 19 47

Views and downloads (calculated since 11 Jan 2017)

Cumulative views and downloads (calculated since 11 Jan 2017)

Viewed (geographical distribution)

Total article views: 383 (including HTML, PDF, and XML)

Thereof 381 with geography defined and 2 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 27 May 2017
Publications Copernicus
Download
Short summary
We analyzed the sensitivity of model-predicted global-scale OA to parameters and assumptions that control primary emissions, photochemical aging and the scavenging efficiency of LVOCs, SVOCs and IVOCs. The simulated OA concentrations were evaluated against a global dataset of AMS measurements. According to our analysis, a combination of increased IVOCs, and decreased hygroscopicity of the freshly emitted IVOCs can help reduce discrepancies between simulated SOA and observed OOA concentrations.
We analyzed the sensitivity of model-predicted global-scale OA to parameters and assumptions...
Share