13 Dec 2022
13 Dec 2022
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Parameterization of Size of Organic and Secondary Inorganic Aerosol for Efficient Representation of Global Aerosol Optical Properties

Haihui Zhu1, Randall Martin1,2, Betty Croft2,1, Shixian Zhai3, Chi Li1, Liam Bindle1, Jeffrey Pierce4, Rachel Chang2, Bruce Anderson5, Luke Ziemba5, Johnathan Hair5, Richard Ferrare5, Chris Hostetler5, Inderjeet Singh1, Deepangsu Chatterjee1, Jose Jimenez6, Pedro Campuzano-Jost6, Benjamin Nault7, Jack Dibb8, Joshua Schwarz9, and Andrew Weinheimer10 Haihui Zhu et al.
  • 1Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
  • 2Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
  • 3Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
  • 4Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
  • 5NASA Langley Research Center, Hampton, VA, USA
  • 6Cooperative Institute for Research in Environmental Sciences and Department of Chemistry, University of Colorado, Boulder, CO, USA
  • 7Center for Aerosol and Cloud Chemistry, Aerodyne Research, Inc., Billerica, MA, USA
  • 8Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA
  • 9National Oceanic and Atmospheric Administration Chemical Sciences Laboratory, Boulder, CO, USA
  • 10National Center for Atmospheric Research, Boulder, CO, USA

Abstract. Accurate representation of aerosol optical properties is essential for modeling and remote sensing of atmospheric aerosols. Although aerosol optical properties are strongly dependent upon the aerosol size distribution, use of detailed aerosol microphysics schemes in global atmospheric models is inhibited by associated computational demands. Computationally efficient parameterizations for aerosol size are needed. In this study, airborne measurements over the United States (DISCOVER-AQ) and South Korea (KORUS-AQ) are interpreted with a global chemical transport model (GEOS-Chem) to investigate the variation in aerosol size when organic matter (OM) and sulfate-nitrate-ammonium (SNA) are the dominant aerosol components. The airborne measurements exhibit a strong correlation (r = 0.83) between dry aerosol size and the sum of OM and SNA mass concentration (MSNAOM). A global microphysical simulation (GEOS-Chem-TOMAS) indicates that MSNAOM, and the ratio between the two components are the major indicators for SNA and OM dry aerosol size. A parameterization of dry effective radius (Reff) for SNA and OM aerosol is proposed, which well represents the airborne measurements (R2 = 0.74, slope = 1.00) and the GEOS-Chem-TOMAS simulation (R2 = 0.72, slope = 0.81). When applied in the GEOS-Chem high-performance model, this parameterization improves the agreement between the simulated aerosol optical depth (AOD) and the ground-measured AOD from the Aerosol Robotic Network (AERONET; R2 from 0.68 to 0.73, slope from 0.75 to 0.96). Thus, this parameterization offers a computationally efficient method to represent aerosol size dynamically.

Haihui Zhu et al.

Status: open (until 01 Mar 2023)

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Haihui Zhu et al.

Haihui Zhu et al.


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Short summary
Particle size of atmospheric aerosol is important for many fields, but simulating atmospheric aerosol size is computationally demanding. This study derives a simple parameterization of the size of organic and secondary inorganic ambient aerosol that can be applied to atmospheric models. Applying this parameterization allows a better representation of the global spatial pattern of aerosol size and improves the agreement between modeled and ground-measured aerosol optical depth.