Abstract

Abstract. An advanced particle microphysics model with a number of computationally efficient schemes has been incorporated into a global chemistry transport model (GEOS-Chem) to simulate particle number size distributions and cloud condensation nuclei (CCN) concentrations in the atmosphere. Size-resolved microphysics for secondary particles (i.e., those formed from gaseous species) and sea salt has been treated in the present study. The growth of nucleated particles through the condensation of sulfuric acid vapor and equilibrium uptake of nitrate, ammonium, and secondary organic aerosol is explicitly simulated, along with the scavenging of secondary particles by primary particles (dust, black carbon, organic carbon, and sea salt). We calculate secondary particle formation rate based on ion-mediated nucleation (IMN) mechanism and constrain the parameterizations of primary particle emissions with various observations. Our simulations indicate that secondary particles formed via IMN appear to be able to account for the particle number concentrations observed in many parts of the troposphere. A comparison of the simulated annual mean concentrations of condensation nuclei larger than 10 nm (CN10) with those measured values show very good agreement (within a factor of two) in near all 22 sites around the globe that have at least one full year of CN10 measurements. Secondary particles appear to dominate the number abundance in most parts of the troposphere. Calculated CCN concentration at supersaturation of 0.4% (CCN0.4) and the fraction of CCN0.4 that is secondary (fsecCCN) have large spatial variations. Over the middle latitude in the Northern Hemisphere, zonally averaged CCN0.4 decreases from ~400–700 cm−3 in the boundary layer (BL) to below 100 cm−3 above altitude of ~4 km, the corresponding fsecCCN values change from 50–60% to above ~70%. In the Southern Hemisphere, the zonally averaged CCN0.4 is below 200 cm−3 and fsecCCN is generally above 60% except in the BL over the Southern Ocean.

Highlights

  • Atmospheric particles perturb the Earth’s energy budget indirectly by acting as cloud condensation nuclei (CCN) and changing cloud properties and influencing precipitation

  • The results presented are based on one year (2006) simulation of Goddard Earth Observing System (GEOS)-Chem coupled with the advanced particle microphysics (APM) model

  • An advanced particle microphysics (APM) model has been incorporated into a global chemistry transport model (GEOSChem) to simulate the number size distribution of tropospheric particles, focusing on the contribution of secondary particles to total aerosol number and CCN abundance

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Summary

Introduction

Atmospheric particles perturb the Earth’s energy budget indirectly by acting as cloud condensation nuclei (CCN) and changing cloud properties and influencing precipitation. The magnitude of the aerosol indirect radiative forcing (IRF) represents the dominate uncertainty in assessing climate change (NRC, 2005; IPCC, 2007; Chin et al, 2009). The aerosol indirect radiative forcing is largely determined by the number abundance of particles that can act as CCN (e.g., Twomey, 1977; Albrecht, 1989; Charlson et al, 1992). An increase in the number and a decrease in the size of cloud droplets (for fixed liquid water content) resulted from the increase of aerosol number concentrations will increase cloud optical depth and cloud albedo (first indirect aerosol effect). The change of cloud drop number concentration that results from the increase in aerosol concentration can affect the cloud liquid water content, cloud amount, cloud lifetime, and precipitation efficiency (second indirect aerosol effect). At a given supersaturation ratio, CCN number concentrations depend on the number size distribution and composition of atmospheric particles. Pan et al (1998) showed that aerosol size parameters are the leading contributors to the uncertainty of calculated IRF by anthropogenic sulfate aerosols and suggested that a size-resolved global aerosol model should be an important step toward reducing the uncertainty

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