Abstract

Abstract. Marine organic aerosol emissions have been implemented and evaluated within the National Center of Atmospheric Research (NCAR)'s Community Atmosphere Model (CAM5) with the Pacific Northwest National Laboratory's 7-mode Modal Aerosol Module (MAM-7). Emissions of marine primary organic aerosols (POA), phytoplankton-produced isoprene- and monoterpenes-derived secondary organic aerosols (SOA) and methane sulfonate (MS−) are shown to affect surface concentrations of organic aerosols in remote marine regions. Global emissions of submicron marine POA is estimated to be 7.9 and 9.4 Tg yr−1, for the Gantt et al. (2011) and Vignati et al. (2010) emission parameterizations, respectively. Marine sources of SOA and particulate MS− (containing both sulfur and carbon atoms) contribute an additional 0.2 and 5.1 Tg yr−1, respectively. Widespread areas over productive waters of the Northern Atlantic, Northern Pacific, and the Southern Ocean show marine-source submicron organic aerosol surface concentrations of 100 ng m−3, with values up to 400 ng m−3 over biologically productive areas. Comparison of long-term surface observations of water insoluble organic matter (WIOM) with POA concentrations from the two emission parameterizations shows that despite revealed discrepancies (often more than a factor of 2), both Gantt et al. (2011) and Vignati et al. (2010) formulations are able to capture the magnitude of marine organic aerosol concentrations, with the Gantt et al. (2011) parameterization attaining better seasonality. Model simulations show that the mixing state of the marine POA can impact the surface number concentration of cloud condensation nuclei (CCN). The largest increases (up to 20%) in CCN (at a supersaturation (S) of 0.2%) number concentration are obtained over biologically productive ocean waters when marine organic aerosol is assumed to be externally mixed with sea-salt. Assuming marine organics are internally-mixed with sea-salt provides diverse results with increases and decreases in the concentration of CCN over different parts of the ocean. The sign of the CCN change due to the addition of marine organics to sea-salt aerosol is determined by the relative significance of the increase in mean modal diameter due to addition of mass, and the decrease in particle hygroscopicity due to compositional changes in marine aerosol. Based on emerging evidence for increased CCN concentration over biologically active surface ocean areas/periods, our study suggests that treatment of sea spray in global climate models (GCMs) as an internal mixture of marine organic aerosols and sea-salt will likely lead to an underestimation in CCN number concentration.

Highlights

  • The indirect effect of anthropogenic aerosols remains as the largest source of uncertainty for climate projections (IPCC, 2007)

  • Based on emerging evidence for increased cloud condensation nuclei (CCN) concentration over biologically active surface ocean areas/periods, our study suggests that treatment of sea spray in global climate models (GCMs) as an internal mixture of marine organic aerosols and sea-salt will likely lead to an underestimation in CCN number concentration

  • Marine organic emissions are implemented in CAM5 by adding two different online emission parameterizations of marine primary organic aerosols (POA) and offline productions of marine secondary organic aerosols (SOA) and MS−, derived from phytoplankton-emitted biogenic volatile organic compounds (BVOCs)

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Summary

Introduction

The indirect effect of anthropogenic aerosols remains as the largest source of uncertainty for climate projections (IPCC, 2007). Meskhidze et al.: Global distribution and climate forcing of marine organic aerosol important for understanding the cloud-mediated effects of aerosols on climate, because cloud properties respond nonlinearly to aerosols and are most sensitive to CCN changes when their background concentration is low (Platnick and Twomey, 1994) This sensitivity is evident in measured cloud droplet number concentration (CDNC) over the remote oceans, which ranges from tens per cm in biologically inactive regions to hundreds per cm under biologically active conditions (Andreae, 2007). To compensate for missing natural marine aerosol sources, global aerosol-climate models impose lower bounds on CDNC or aerosol number concentration over remote marine areas (Lohmann et al, 1999, 2007; Takemura et al, 2005; Wang and Penner, 2009) When these possibly unphysical constraints are removed, the simulated aerosol indirect effect can change by up to 80 % (Kirkevag et al, 2008; Hoose et al, 2009). The second part (Meskhidze et al, 2011) will focus on the impact of these emissions on cloud microphysical properties and shortwave radiative forcing

Model description
Model improvement
Marine primary organic aerosol
Marine SOA
Surfactant effect
Aerosol activation parameterization
Simulation setup
Marine emissions
Marine organic aerosol mass concentrations
Changes in CCN concentration
Conclusions
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