Implementing marine organic aerosols into the GEOS-Chem model

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Abstract

Marine-sourced organic aerosols (MOAs) have been shown to play an important role in tropospheric chemistry by impacting surface mass, cloud condensation nuclei, and ice nuclei concentrations over remote marine and coastal regions. In this work, an online marine primary organic aerosol emission parameterization, designed to be used for both global and regional models, was implemented into the GEOS-Chem (Global Earth Observing System Chemistry) model. The implemented emission scheme improved the large underprediction of organic aerosol concentrations in clean marine regions (normalized mean bias decreases from -79% when using the default settings to -12% when marine organic aerosols are added). Model predictions were also in good agreement (correlation coefficient of 0.62 and normalized mean bias of -36%) with hourly surface concentrations of MOAs observed during the summertime at an inland site near Paris, France. Our study shows that MOAs have weaker coastal-to-inland concentration gradients than sea-salt aerosols, leading to several inland European cities having >10% of their surface submicron organic aerosol mass concentration with a marine source. The addition of MOA tracers to GEOS-Chem enabled us to identify the regions with large contributions of freshly emitted or aged aerosol having distinct physicochemical properties, potentially indicating optimal locations for future field studies.

Figures

  • Figure 1. Seasonally averaged submicron MOA surface concentrations and percentages of total submicron organic aerosol (marine+ primary anthropogenic+ biomass burning+ secondary) with a marine source as predicted by GEOS-Chem for 2009.
  • Figure 2. (a) Average submicron surface concentration of MOA for July 2009 in the nested Europe GEOS-Chem domain and the (b) time series of the observed and predicted marine organic aerosol concentration near Paris, France, as reported by Crippa et al. (2013a). Evaluation of the GEOS-Chem MOA with the Crippa et al. (2013a) observations gives a correlation coefficient of 0.62, mean bias of −120 ng m−3, and normalized mean bias of −36 %.
  • Figure 3. Global comparison of observed clean marine organic aerosol concentrations compiled by Gantt and Meskhidze (2013) and GEOSChem-predicted terrestrial (black) and total (marine+ terrestrial, in red) submicron organic aerosol concentrations. The solid and dotted lines represent the 1 : 1 line, 1 : 2 and 2 : 1 lines, respectively.
  • Figure 4. Percentage of the submicron MOA concentration predicted by GEOS-Chem to be hydrophilic (aged) for July 2009.
  • Figure 5. Regions (in red) with GEOS-Chem-predicted seasonal submicron MOA concentrations > 200 ng m−3 for both low-aged (left column, < 40 % hydrophilic marine organic aerosol) and highly aged (right column, > 60 % hydrophilic marine organic aerosol) regimes.

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Gantt, B., Johnson, M. S., Crippa, M., Prévôt, A. S. H., & Meskhidze, N. (2015). Implementing marine organic aerosols into the GEOS-Chem model. Geoscientific Model Development, 8(3), 619–629. https://doi.org/10.5194/gmd-8-619-2015

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