Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction

Pöhlker, Mira L.; Pöhlker, Christopher; Ditas, Florian; Klimach, Thomas; Hrabe de Angelis, Isabella; Araújo, Alessandro; Brito, Joel; Carbone, Samara; Cheng, Yafang; Chi, Xuguang; Ditz, Reiner; Gunthe, Sachin S.; Kesselmeier, Jürgen; Könemann, Tobias; Lavrič, Jošt V.; Martin, Scot T.; Mikhailov, Eugene; Moran-Zuloaga, Daniel; Rose, Diana; Saturno, Jorge; Su, Hang; Thalman, Ryan; Walter, David; Wang, Jian; Wolff, Stefan; Barbosa, Henrique M. J.; Artaxo, Paulo; Andreae, Meinrat O.; Pöschl, Ulrich

doi:https://doi.org/10.5194/acp-16-15709-2016

Articles | Volume 16, issue 24

Atmos. Chem. Phys., 16, 15709–15740, 2016

https://doi.org/10.5194/acp-16-15709-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Amazon Tall Tower Observatory (ATTO) Special Issue

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

Atmos. Chem. Phys., 16, 15709–15740, 2016

https://doi.org/10.5194/acp-16-15709-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 24

Research article 20 Dec 2016

Research article | 20 Dec 2016

Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction

Mira L. Pöhlker et al.

Supplement

https://doi.org/10.5194/acp-16-15709-2016-supplement

Data sets

NASA Ames Format for Data Exchange British Atmospheric Data Centre (BADC) http://cedadocs.badc.rl.ac.uk/73/4/index.html

Short summary

The paper presents a systematic characterization of cloud condensation nuclei (CCN) concentration in the central Amazonian atmosphere. Our results show that the CCN population in this globally important ecosystem follows a pollution-related seasonal cycle, in which it mainly depends on changes in total aerosol size distribution and to a minor extent in the aerosol chemical composition. Our results allow an efficient modeling and prediction of the CCN population based on a novel approach.