On the Importance of Organic Mass for Global Cloud Condensation Nuclei Distributions

  • Georgios Fanourgakis
  • Nikos Kalivitis
  • Athanasios Nenes
  • Maria KanakidouEmail author
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


Aerosol-cloud interactions constitute a major contributor of uncertainty in projections of anthropogenic climate change. The fraction of aerosol that activates to form cloud droplets (cloud condensation nuclei, CCN) is at the heart of aerosol cloud interactions. Towards this, we investigate the role of organic mass in the formation and evolution of CCN using the global 3-dimensional chemistry transport model TM4-ECPL coupled with the M7 aerosol microphysics module. The contribution of organics to the CCN levels is quantified by comparing the global surface distribution of aerosol particles and CCN computed with and without organic aerosol mass considerations, to the surface CCN observations. We also calculate the dynamical behavior of the CCN by computing their persistence times in atmosphere, i.e. the period over which the CCN concentrations show autocorrelation. It is found that organic species in aerosol modulate CCN concentrations by 50–90%—with a higher influence over land; furthermore, simulations compare better with observations when the impact of organics on CCN levels is taken into account.



This work has been supported by the European FP7 collaborative project BACCHUS (Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding. We acknowledge use of the ACTRIS database provided by Schmale, J. and co-workers.


  1. 1.
    M. Kanakidou, J.H. Seinfeld, Pandis et al., Organic aerosol and global climate modelling: a review. Atmos. Chem. Phys. 5(4), 1053–1123 (2005)CrossRefGoogle Scholar
  2. 2.
    M. Kanakidou, R.A. Duce, J.M. Prospero et al., Atmospheric fluxes of organic N and P to the global ocean. Global Biogeochem. Cycles 26(3), 1–12 (2012)CrossRefGoogle Scholar
  3. 3.
    M.D. Petters, S.M. Kreidenweis, A. Sandu et al., A single parameter representation of hygroscopic growth and cloud condensation nucleus activity. Atmos. Chem. Phys. 7, 1961–1971 (2007)CrossRefGoogle Scholar
  4. 4.
    J. Schmale, S. Henning, Henzing, et al., Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition. Sci. Data 4, 170003 (2017)Google Scholar
  5. 5.
    E. Vignati, J. Wilson, P. Stier, M7: An efficient size-resolved aerosol microphysics module for large-scale aerosol transport models. J. Geophys. Res. Atmos. 109(D22202) (2004)Google Scholar
  6. 6.
    N. Daskalakis, K. Tsigaridis, S. Myriokefalitakis, et al., Large gain in air quality compared to an alternative anthropogenic emissions scenario. Atmos. Chem. Phys. 16, 9771–9784 (2016)CrossRefGoogle Scholar
  7. 7.
    G.S. Fanourgakis, M. Kanakidou, A. Nenes, et al., Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation. Atmos. Chem. Phys. 19, 8591–8617 (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Georgios Fanourgakis
    • 1
  • Nikos Kalivitis
    • 1
    • 2
  • Athanasios Nenes
    • 3
    • 4
  • Maria Kanakidou
    • 1
    Email author
  1. 1.Environmental Chemical Processes Laboratory, Department of ChemistryUniversity of CreteHeraklionGreece
  2. 2.National Observatory of AthensAthensGreece
  3. 3.Laboratory of Atmospheric Processes and their Impacts, School of ArchitectureCivil & Environmental Engineering, École Polytechnique Federale de LausanneLausanneSwitzerland
  4. 4.Institute of Chemical Engineering Sciences, Foundation for Research and Technology (ICEHT-FORTH), HellasPatrasGreece

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