Long-term observations of cloud condensation nuclei over the Amazon rain forest – Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols
dc.contributor.author | Pöhlker, Mira L. | |
dc.contributor.author | Ditas, Florian | |
dc.contributor.author | Saturno, Jorge | |
dc.contributor.author | Klimach, Thomas | |
dc.contributor.author | Hrabě de Angelis, Isabella | |
dc.contributor.author | Araùjo, Alessandro C. | |
dc.contributor.author | Brito, Joel | |
dc.contributor.author | Carbone, Samara | |
dc.contributor.author | Cheng, Yafang | |
dc.contributor.author | Chi, Xuguang | |
dc.contributor.author | Ditz, Reiner | |
dc.contributor.author | Gunthe, Sachin S. | |
dc.contributor.author | Holanda, Bruna A. | |
dc.contributor.author | Kandler, Konrad | |
dc.contributor.author | Kesselmeier, Jürgen | |
dc.contributor.author | Könemann, Tobias | |
dc.contributor.author | Krüger, Ovid O. | |
dc.contributor.author | Lavrič, Jošt V. | |
dc.contributor.author | Martin, Scot T. | |
dc.contributor.author | Mikhailov, Eugene | |
dc.contributor.author | Moran-Zuloaga, Daniel | |
dc.contributor.author | Rizzo, Luciana V. | |
dc.contributor.author | Rose, Diana | |
dc.contributor.author | Su, Hang | |
dc.contributor.author | Thalman, Ryan | |
dc.contributor.author | Walter, David | |
dc.contributor.author | Wang, Jian | |
dc.contributor.author | Wolff, Stefan | |
dc.contributor.author | Barbosa, H. M. J. | |
dc.contributor.author | Artaxo, Paulo | |
dc.contributor.author | Andreae, Meinrat O. | |
dc.contributor.author | Pöschl, Ulrich | |
dc.contributor.author | Pöhlker, Christopher | |
dc.date.accessioned | 2024-06-28T18:10:05Z | |
dc.date.available | 2024-06-28T18:10:05Z | |
dc.date.issued | 2018-07-19 | |
dc.description.abstract | Size-resolved measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted over a full seasonal cycle at the remote Amazon Tall Tower Observatory (ATTO, March 2014–February 2015). In a preceding companion paper, we presented annually and seasonally averaged data and parametrizations (Part 1; Pöhlker et al., 2016a). In the present study (Part 2), we analyze key features and implications of aerosol and CCN properties for the following characteristic atmospheric conditions: Empirically pristine rain forest (PR) conditions, where no influence of pollution was detectable, as observed during parts of the wet season from March to May. The PR episodes are characterized by a bimodal aerosol size distribution (strong Aitken mode with DAit ≈ 70 nm and NAit ≈ 160 cm⁻³, weak accumulation mode with Dacc ≈ 160 nm and Nacc≈ 90 cm⁻³), a chemical composition dominated by organic compounds, and relatively low particle hygroscopicity (κAit≈ 0.12, κacc ≈ 0.18).Long-range-transport (LRT) events, which frequently bring Saharan dust, African biomass smoke, and sea spray aerosols into the Amazon Basin, mostly during February to April. The LRT episodes are characterized by a dominant accumulation mode (DAit ≈ 80 nm, NAit ≈ 120 cm⁻³ vs. Dacc ≈ 180 nm, Nacc ≈ 310 cm⁻³), an increased abundance of dust and salt, and relatively high hygroscopicity (κAit≈ 0.18, κacc ≈ 0.35). The coarse mode is also significantly enhanced during these events. Biomass burning (BB) conditions characteristic for the Amazonian dry season from August to November. The BB episodes show a very strong accumulation mode (DAit ≈ 70 nm, NAit ≈ 140 cm⁻³ vs. Dacc ≈ 170 nm, Nacc ≈ 3400 cm⁻³), very high organic mass fractions (∼ 90 %), and correspondingly low hygroscopicity (κAit≈ 0.14, κacc ≈ 0.17). Mixed-pollution (MPOL) conditions with a superposition of African and Amazonian aerosol emissions during the dry season. During the MPOL episode presented here as a case study, we observed African aerosols with a broad monomodal distribution (D ≈ 130 nm, Nᴄₙ,₁₀ ≈ 1300 cm⁻³), with high sulfate mass fractions (∼ 20 %) from volcanic sources and correspondingly high hygroscopicity (κ< 100 nm ≈ 0.14, 0.22), which were periodically mixed with fresh smoke from nearby fires (D ≈ 110 nm, Nᴄₙ,₁₀ ≈ 2800 cm⁻³) with an organic-dominated composition and sharply decreased hygroscopicity ( 0.10, 0.20). Insights into the aerosol mixing state are provided by particle hygroscopicity (κ) distribution plots, which indicate largely internal mixing for the PR aerosols (narrow κ distribution) and more external mixing for the BB, LRT, and MPOL aerosols (broad κ distributions). The CCN spectra (CCN concentration plotted against water vapor supersaturation) obtained for the different case studies indicate distinctly different regimes of cloud formation and microphysics depending on aerosol properties and meteorological conditions. The measurement results suggest that CCN activation and droplet formation in convective clouds are mostly aerosol-limited under PR and LRT conditions and updraft-limited under BB and MPOL conditions. Normalized CCN efficiency spectra (CCN divided by aerosol number concentration plotted against water vapor supersaturation) and corresponding parameterizations (Gaussian error function fits) provide a basis for further analysis and model studies of aerosol–cloud interactions in the Amazon. | |
dc.description.sponsorship | This work has been supported by the Max Planck Society (MPG) and the Max Planck Graduate Center with the Johannes Gutenberg University Mainz (MPGC). For the operation of the ATTO site, we acknowledge the support by the German Federal Ministry of Education and Research (BMBF contract 01LB1001A) and the Brazilian Ministério da Ciência, Tecnologia e Inovação (MCTI/FINEP contract 01.11.01248.00) as well as the Amazon State University (UEA), FAPEAM, LBA/INPA, and SDS/CEUC/RDS-Uatumã. This work has been financially supported from the German Research Foundation (DFG grant KA 2280/2); Saint Petersburg State University, Russia (project 11.37.220.2016); the EU FP7 project BACCHUS (project no. 603445); the Sao Paulo Research Foundation (FAPESP grants 13/05014-0 and 13/50510-5); and the Atmospheric System Research (ASR) program, US Department of Energy. Further, the results in Sect. 3 were supported within RSF grant 18-17- 00076. This paper contains results of research conducted under the Technical/Scientific Cooperation Agreement between the National Institute for Amazonian Research, the State University of Amazonas, and the Max-Planck-Gesellschaft e.V.; the opinions expressed are entirely the responsibility of the authors and not of the participating institutions. We highly acknowledge the support by the Instituto Nacional de Pesquisas da Amazônia (INPA). The Office of Biological and Environmental Research of the Office of Science is acknowledged for funding, specifically the Atmospheric Radiation Measurement (ARM) Climate Research Facility and the ASR program. We would like to especially thank all the people involved in the technical, logistical, and scientific support of the ATTO project, in particular Susan Trumbore, Carlos Alberto Quesada, Matthias Sörgel, Thomas Disper, Andrew Crozier, Bettina Weber, Nina Ruckteschler, Uwe Schulz, Steffen Schmidt, Antonio Ocimar Manzi, Alcides Camargo Ribeiro, Hermes Braga Xavier, Elton Mendes da Silva, Nagib Alberto de Castro Souza, Adir Vasconcelos Brandão, Amauri Rodriguês Perreira, Antonio Huxley Melo Nascimento, Thiago de Lima Xavier, Josué Ferreira de Souza, Roberta Pereira de Souza, Bruno Takeshi, and Wallace Rabelo Costa. We acknowledge the use of FIRMS data and imagery from the Land, Atmosphere Near real-time Capability for EOS (LANCE) system operated by the NASA/GSFC/Earth Science Data and Information System (ESDIS) with funding provided by NASA/HQ. Satellite product analyses and visualizations used in this paper were produced with the Giovanni online data system, developed and maintained by the NASA GES DISC. We also acknowledge the MODIS and OMI mission scientists and associated NASA personnel for the production of the data used in this research effort. Further, we thank the GoAmazon2014/5 team for the fruitful collaboration and discussions. We appreciate the help of Hauke Paulsen with the fire map analysis. We thank Peter Hoor for stimulating ideas on CO-based PR filtering. Moreover, we thank Qiaoqiao Wang, Oliver Lauer, Jing Ming, Maria Praß, Kathrin Reinmuth-Selzle, and Daniel Rosenfeld for support and stimulating discussions. Finally, we appreciate the constructive comments by two anonymous referees, which were very fruitful for extending and improving important aspects of the paper. The article processing charges for this open-access publication were covered by the Max Planck Society. | |
dc.description.uri | https://acp.copernicus.org/articles/18/10289/2018/ | |
dc.format.extent | 43 pages | |
dc.genre | journal articles | |
dc.identifier | doi:10.13016/m2jkvi-dsri | |
dc.identifier.citation | Pöhlker, Mira L., Florian Ditas, Jorge Saturno, Thomas Klimach, Isabella Hrabě de Angelis, Alessandro C. Araùjo, Joel Brito, et al. “Long-Term Observations of Cloud Condensation Nuclei over the Amazon Rain Forest – Part 2: Variability and Characteristics of Biomass Burning, Long-Range Transport, and Pristine Rain Forest Aerosols.” Atmospheric Chemistry and Physics 18, no. 14 (July 19, 2018): 10289–331. https://doi.org/10.5194/acp-18-10289-2018. | |
dc.identifier.uri | https://doi.org/10.5194/acp-18-10289-2018 | |
dc.identifier.uri | http://hdl.handle.net/11603/34772 | |
dc.language.iso | en_US | |
dc.publisher | EGU | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Physics Department | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
dc.rights | Public Domain | |
dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
dc.title | Long-term observations of cloud condensation nuclei over the Amazon rain forest – Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0002-4027-1855 |