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Volume 17, issue 19 | Copyright

Special issue: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5)...

Atmos. Chem. Phys., 17, 11779-11801, 2017
https://doi.org/10.5194/acp-17-11779-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Oct 2017

Research article | 05 Oct 2017

CCN activity and organic hygroscopicity of aerosols downwind of an urban region in central Amazonia: seasonal and diel variations and impact of anthropogenic emissions

Ryan Thalman1,a, Suzane S. de Sá2, Brett B. Palm3, Henrique M. J. Barbosa4, Mira L. Pöhlker5, M. Lizabeth Alexander7, Joel Brito4,b, Samara Carbone4, Paulo Castillo1, Douglas A. Day3, Chongai Kuang1, Antonio Manzi8, Nga Lee Ng9,10, Arthur J. Sedlacek III1, Rodrigo Souza11, Stephen Springston1, Thomas Watson1, Christopher Pöhlker5, Ulrich Pöschl5, Meinrat O. Andreae5,6, Paulo Artaxo4, Jose L. Jimenez3, Scot T. Martin2,12, and Jian Wang1 Ryan Thalman et al.
  • 1Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, USA
  • 2School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
  • 3Department of Chemistry and Biochemistry and Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
  • 4Physics Institute, University of São Paulo, São Paulo, Brazil
  • 5Biogeochemistry and Multiphase Chemistry Departments, Max Planck Institute for Chemistry, Mainz, Germany
  • 6Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
  • 7Pacific Northwest National Laboratory, Richland, WA, USA
  • 8National Institute of Amazonian Research, Manaus, Amazonas, Brazil
  • 9School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  • 10School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
  • 11Amazonas State University, Manaus, Amazonas, Brazil
  • 12Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
  • anow at: Department of Chemistry, Snow College, Richfield, UT, USA
  • bnow at: Laboratory for Meteorological Physics, Université Clermont Auvergne, Clermont-Ferrand, France

Abstract. During the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) campaign, size-resolved cloud condensation nuclei (CCN) spectra were characterized at a research site (T3) 60km downwind of the city of Manaus, Brazil, in central Amazonia for 1 year (12 March 2014 to 3 March 2015). Particle hygroscopicity (κCCN) and mixing state were derived from the size-resolved CCN spectra, and the hygroscopicity of the organic component of the aerosol (κorg) was then calculated from κCCN and concurrent chemical composition measurements. The annual average κCCN increased from 0.13 at 75nm to 0.17 at 171nm, and the increase was largely due to an increase in sulfate volume fraction. During both wet and dry seasons, κCCN, κorg, and particle composition under background conditions exhibited essentially no diel variations. The constant κorg of ∼ 0. 15 is consistent with the largely uniform and high O:C value (∼ 0. 8), indicating that the aerosols under background conditions are dominated by the aged regional aerosol particles consisting of highly oxygenated organic compounds. For air masses strongly influenced by urban pollution and/or local biomass burning, lower values of κorg and organic O:C atomic ratio were observed during night, due to accumulation of freshly emitted particles, dominated by primary organic aerosol (POA) with low hygroscopicity, within a shallow nocturnal boundary layer. The O:C, κorg, and κCCN increased from the early morning hours and peaked around noon, driven by the formation and aging of secondary organic aerosol (SOA) and dilution of POA emissions into a deeper boundary layer, while the development of the boundary layer, which leads to mixing with aged particles from the residual layer aloft, likely also contributed to the increases. The hygroscopicities associated with individual organic factors, derived from PMF (positive matrix factorization) analysis of AMS (aerosol mass spectrometry) spectra, were estimated through multivariable linear regression. For the SOA factors, the variation of the κ value with O:C agrees well with the linear relationship reported from earlier laboratory studies of SOA hygroscopicity. On the other hand, the variation in O:C of ambient aerosol organics is largely driven by the variation in the volume fractions of POA and SOA factors, which have very different O:C values. As POA factors have hygroscopicity values well below the linear relationship between SOA hygroscopicity and O:C, mixtures with different POA and SOA fractions exhibit a steeper slope for the increase in κorg with O:C, as observed during this and earlier field studies. This finding helps better understand and reconcile the differences in the relationships between κorg and O:C observed in laboratory and field studies, therefore providing a basis for improved parameterization in global models, especially in a tropical context.

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Particle hygroscopicity, mixing state, and the hygroscopicity of organic components were characterized in central Amazonia for 1 year; their seasonal and diel variations were driven by a combination of primary emissions, photochemical oxidation, and boundary layer development. The relationship between the hygroscopicity of organic components and their oxidation level was examined, and the results help to reconcile the differences among the relationships observed in previous studies.
Particle hygroscopicity, mixing state, and the hygroscopicity of organic components were...
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