Abstract

Abstract. It is important to understand the relative contribution of primary and secondary particles to regional and global aerosol so that models can attribute aerosol radiative forcing to different sources. In large-scale models, there is considerable uncertainty associated with treatments of particle formation (nucleation) in the boundary layer (BL) and in the size distribution of emitted primary particles, leading to uncertainties in predicted cloud condensation nuclei (CCN) concentrations. Here we quantify how primary particle emissions and secondary particle formation influence size-resolved particle number concentrations in the BL using a global aerosol microphysics model and aircraft and ground site observations made during the May 2008 campaign of the European Integrated Project on Aerosol Cloud Climate Air Quality Interactions (EUCAARI). We tested four different parameterisations for BL nucleation and two assumptions for the emission size distribution of anthropogenic and wildfire carbonaceous particles. When we emit carbonaceous particles at small sizes (as recommended by the Aerosol Intercomparison project, AEROCOM), the spatial distributions of campaign-mean number concentrations of particles with diameter >50 nm (N50) and >100 nm (N100) were well captured by the model (R2≥0.8) and the normalised mean bias (NMB) was also small (−18% for N50 and −1% for N100). Emission of carbonaceous particles at larger sizes, which we consider to be more realistic for low spatial resolution global models, results in equally good correlation but larger bias (R2≥0.8, NMB = −52% and −29%), which could be partly but not entirely compensated by BL nucleation. Within the uncertainty of the observations and accounting for the uncertainty in the size of emitted primary particles, BL nucleation makes a statistically significant contribution to CCN-sized particles at less than a quarter of the ground sites. Our results show that a major source of uncertainty in CCN-sized particles in polluted European air is the emitted size of primary carbonaceous particles. New information is required not just from direct observations, but also to determine the "effective emission size" and composition of primary particles appropriate for different resolution models.

Highlights

  • Atmospheric aerosol particles are generally classified as either primary or secondary depending on their source or origin

  • The primary black carbon (BC)+organic carbon (OC) particles undergo condensation growth, coagulation, and dry/wet deposition after emission resulting in a modelled size distribution that looks very different from the emitted size distribution

  • For N160, the model bias is small in experiment BC+OC particles at emission: small particles (BCOC sm) (NMB = 9 %, m = 0.65), but in contrast to comparisons with observed N100, N50 and Ntot, we find the best agreement with observed N160 over the Intensive Observation Period (IOP) is with the BCOC lg experiment (NMB = −1%, m = 0.74)

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Summary

Introduction

Atmospheric aerosol particles are generally classified as either primary or secondary depending on their source or origin. There are large uncertainties associated with the primary emission fluxes and secondary formation rates of atmospheric aerosol, leading to uncertainties in predicted global CCN concentrations (Pierce and Adams, 2009; Merikanto et al, 2009) and cloud radiative forcing. Merikanto et al (2009) showed that the estimated contribution of primary particles to CCN is uncertain due to uncertainties in the size distribution of the emitted particles. Aerosol modelling studies often use different parameterisations for the prescribed emission size distribution (e.g. Textor et al, 2006), leading to significant differences in modelled primary particle number and estimated CCN number concentrations (Spracklen et al, 2010). Spracklen et al (2011) demonstrate that primary carbonaceous particles make an important contribution to the aerosol indirect effect, but estimates vary by a factor of ∼3 depending on the prescribed emission size distribution

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