Abstract

Abstract. Aerosol particles in marine atmosphere have been shown to significantly affect cloud formation, atmospheric optical properties, and climate change. However, high temporally and spatially resolved atmospheric measurements over the sea are currently sparse, limiting our understanding of aerosol properties in marine atmosphere. In this study, a ship-based cruise campaign was conducted over the northern South China Sea (SCS) region during summertime 2018. The chemical composition of non-refractory PM1 (NR-PM1), the particle number size distribution (PNSD), and size-resolved cloud condensation nuclei (CCN) activity were measured by a time-of-flight aerosol chemical speciation monitor (ToF-ACSM) and the combination of a cloud condensation nuclei counter (CCNc) and a scanning mobility particle sizer (SMPS). Overall, aerosol particles exhibited a unimodal distribution centering at 60–80 nm and the chemical composition of the NR-PM1 was dominated by sulfate (∼ 46 %), which likely originated from anthropogenic emissions rather than dimethyl sulfide (DMS) oxidation. Two polluted episodes (P1 and P2) were observed, and both were characterized by high particle number concentrations (NCN) which originated from local emissions and from emissions in inland China via long-range transport. The concentrations of trace gases (i.e., O3, CO, NOx) and particles (NCN and NCCN at ss = 0.34 %) were elevated during P2 at the end of the campaign and decreased with offshore distance, further suggesting important impacts of anthropogenic emissions from the inland Pearl River Delta (PRD) region. Two relatively clean periods (C1 and C2) prior to and after tropical storm Bebinca were classified and the air was affected by air masses from the southwest and from the Indo-Chinese Peninsula, respectively. Chemical composition measurements showed an increase in organic mass fraction during P2 compared to C2; however, no obviously different κ values were obtained from the CCNc measurements, implying that the air masses carried pollutants from local sources during long-range transport. We report an average value of about 0.4 for the aerosol hygroscopicity parameter κ, which falls within the literature values (i.e., 0.2–1.0) for urban and remote marine atmosphere. In addition, our results showed that the CCN fraction (NCCN∕NCN, tot) and the κ values had no clear correlation either with the offshore distance or with concentrations of the particles. Our study highlights dynamical variations in particle properties and the impact of long-range transport from continental China and the Indo-Chinese Peninsula on the northern SCS region during summertime.

Highlights

  • Aerosol particles directly affect the global radiation balance by scattering and absorbing solar radiation

  • As an annual routine exercise for the South China Sea (SCS) expedition during summertime, the 2018 cruise campaign organized by Sun Yat-sen University is a comprehensive and interdisciplinary field measurement involving the atmosphere, ocean, geology, biology, and chemistry, etc

  • Several key scientific questions are emerging to be addressed over the SCS region, including the sources of air pollutants in marine atmosphere and impacts of biomass burning from southeastern Asia and of the summer monsoon on atmospheric chemistry and physics in the SCS region

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Summary

Introduction

Aerosol particles directly affect the global radiation balance by scattering and absorbing solar radiation. They can alter cloud microphysics, lifetime, and albedo, indirectly affecting heat transfer through atmosphere (IPCC, 2013). It is essential to conduct field measurements under different environments to obtain chemical and physical properties of particles, including chemical composition, particle number size distribution (PNSD), and cloud condensation nuclei (CCN) activity, in order to better understand the radiation forcing induced by aerosol particles. CCN activity describes how particles grow into cloud droplets and further affect cloud development. Whether particles can be activated as CCN is determined by their chemical composition, hygroscopicity, size, and ambient supersaturation (ss). Aerosol hygroscopicity describes the ability of particles to grow by absorbing moisture in ambient environments. The κ values can be measured in subsaturation (RH < 100 %) conditions by the hygroscopicity tandem differential mobility analyzer (HTDMA) measurements or in supersaturation (RH > 100 %) by the cloud condensation nuclei counter (CCNc) measurements

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