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  Long-term observations of atmospheric aerosol, cloud condensation nuclei concentration and hygroscopicity in the Amazon rain forest – Part 1: Size-resolved characterization and new model parameterizations for CCN prediction

Pöhlker, M. L., Pöhlker, C., Ditas, F., Klimach, T., Hrabe de Angelis, I., Araujo, A., et al. (2016). Long-term observations of atmospheric aerosol, cloud condensation nuclei concentration and hygroscopicity in the Amazon rain forest – Part 1: Size-resolved characterization and new model parameterizations for CCN prediction. Atmospheric Chemistry and Physics Discussions, 16. doi:10.5194/acp-2016-519.

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Pöhlker, M. L.1, Author           
Pöhlker, C.1, Author           
Ditas, F.2, Author           
Klimach, Thomas, Author
Hrabe de Angelis, I.2, Author           
Araujo, Alessandro, Author
Brito, Joel, Author
Carbone, Samara, Author
Cheng, Yafang1, Author           
Chi, X.2, Author           
Ditz, R.2, Author           
Gunthe, S. S.2, Author           
Kesselmeier, J.2, Author           
Könemann, T.1, Author           
Lavric, Jost V., Author
Martin, Scot T., Author
Mikhailov, Eugene, Author
Moran-Zuloaga, D.2, Author           
Rose, Diana, Author
Saturno, J.2, Author           
Su, H.1, Author           Thalman, Ryan, AuthorWalter, D.3, Author           Wang, Jian, AuthorWolff, Stefan, AuthorBarbosa, Henrique M. J., AuthorArtaxo, Paulo, AuthorAndreae, M. O.2, Author           Pöschl, U.1, Author            more..
Affiliations:
1Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              
2Biogeochemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826286              
3Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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 Abstract: Size-resolved long-term measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a 1-year period and full seasonal cycle (March 2014-February 2015). The measurements provide a climatology of CCN properties characteristic of a remote central Amazonian rain forest site. The CCN measurements were continuously cycled through 10 levels of supersaturation (S = 0.11 to 1.10 %) and span the aerosol particle size range from 20 to 245 nm. The mean critical diameters of CCN activation range from 43 nm at S = 1.10% to 172 nm at S = 0.11 %. The particle hygroscopicity exhibits a pronounced size dependence with lower values for the Aitken mode (kappa(Ait) = 0.14 +/- 0.03), higher values for the accumulation mode (kappa(Acc) = 0.22 +/- 0.05), and an overall mean value of kappa(mean) = 0.17 +/- 0.06, consistent with high fractions of organic aerosol. The hygroscopicity parameter, kappa, exhibits remarkably little temporal variability: no pronounced diurnal cycles, only weak seasonal trends, and few short-term variations during long-range transport events. In contrast, the CCN number concentrations exhibit a pronounced seasonal cycle, tracking the pollution-related seasonality in total aerosol concentration. We find that the variability in the CCN concentrations in the central Amazon is mostly driven by aerosol particle number concentration and size distribution, while variations in aerosol hygroscopicity and chemical composition matter only during a few episodes. For modeling purposes, we compare different approaches of predicting CCN number concentration and present a novel parametrization, which allows accurate CCN predictions based on a small set of input data.

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Language(s): eng - English
 Dates: 2016-06-232016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/acp-2016-519
 Degree: -

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Title: Atmospheric Chemistry and Physics Discussions
  Abbreviation : Atmos. Chem. Phys. Discuss.
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : European Geophysical Society, Copernicus Publ.
Pages: 54 Volume / Issue: 16 Sequence Number: - Start / End Page: - Identifier: ISSN: 1680-7367
CoNE: https://pure.mpg.de/cone/journals/resource/111076360006006