Abstract

Abstract. This paper revisits the atmospheric new particle formation (NPF) process in the polluted Central European troposphere, focusing on the connection with gas-phase precursors and meteorological parameters. Observations were made at the research station Melpitz (former East Germany) between 2008 and 2011 involving a neutral cluster and air ion spectrometer (NAIS). Particle formation events were classified by a new automated method based on the convolution integral of particle number concentration in the diameter interval 2–20 nm. To study the relevance of gaseous sulfuric acid as a precursor for nucleation, a proxy was derived on the basis of direct measurements during a 1-month campaign in May 2008. As a major result, the number concentration of freshly produced particles correlated significantly with the concentration of sulfur dioxide as the main precursor of sulfuric acid. The condensation sink, a factor potentially inhibiting NPF events, played a subordinate role only. The same held for experimentally determined ammonia concentrations. The analysis of meteorological parameters confirmed the absolute need for solar radiation to induce NPF events and demonstrated the presence of significant turbulence during those events. Due to its tight correlation with solar radiation, however, an independent effect of turbulence for NPF could not be established. Based on the diurnal evolution of aerosol, gas-phase, and meteorological parameters near the ground, we further conclude that the particle formation process is likely to start in elevated parts of the boundary layer rather than near ground level.

Highlights

  • Atmospheric aerosol particles have been recognised as one of the major uncertainties in predicting atmospheric radiative forcing and future climate (IPCC, 2013)

  • Particle formation events were classified by a new automated method based on the convolution integral of particle number concentration in the diameter interval 2–20 nm

  • Particle formation events were classified by an automated method based on the convolution integral of particle number concentration in the diameter range 2–20 nm

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Summary

Introduction

Atmospheric aerosol particles have been recognised as one of the major uncertainties in predicting atmospheric radiative forcing and future climate (IPCC, 2013). Aerosol particles influence the Earth’s radiation balance by scattering and absorbing solar radiation directly (Haywood and Boucher, 2000). Aerosol particles act as cloud condensation nuclei (CCN) and modify the radiative properties of cloud droplets in various ways (Lohmann and Feichter, 2005). Atmospheric aerosol particles play a crucial role in the assessment of air quality and their adverse effects upon human health (Pope et al, 2006). Due to the complex interactions involved in the life cycle of aerosol particles, research has started with a highly integrated approach to elucidate aerosol climate effects across different temporal and spatial scales (Kulmala et al, 2011)

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