Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10081-2021
https://doi.org/10.5194/acp-21-10081-2021
Research article
 | 
06 Jul 2021
Research article |  | 06 Jul 2021

Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach

Liine Heikkinen, Mikko Äijälä, Kaspar R. Daellenbach, Gang Chen, Olga Garmash, Diego Aliaga, Frans Graeffe, Meri Räty, Krista Luoma, Pasi Aalto, Markku Kulmala, Tuukka Petäjä, Douglas Worsnop, and Mikael Ehn

Related authors

Enrichment of organic nitrogen in fog residuals observed in the Italian Po Valley
Fredrik Mattsson, Almuth Neuberger, Liine Heikkinen, Yvette Gramlich, Marco Paglione, Matteo Rinaldi, Stefano Decesari, Paul Zieger, Ilona Riipinen, and Claudia Mohr
Atmos. Chem. Phys., 25, 7973–7989, https://doi.org/10.5194/acp-25-7973-2025,https://doi.org/10.5194/acp-25-7973-2025, 2025
Short summary
A process-evaluation of the impact of precipitation on aerosol particle number size distributions in three Earth System Models
Sara M. Blichner, Theodore Khadir, Sini Talvinen, Paulo Artaxo, Liine Heikkinen, Harri Kokkola, Radovan Krejci, Muhammed Irfan, Twan van Noije, Tuukka Petäjä, Christopher Pöhlker, Øyvind Seland, Carl Svenhag, Antti Vartiainen, and Ilona Riipinen
EGUsphere, https://doi.org/10.5194/egusphere-2025-2559,https://doi.org/10.5194/egusphere-2025-2559, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Long-term PM trends in southern Finland from three different measurement techniques
Ilona Ylivinkka, Helmi-Marja Keskinen, Lauri R. Ahonen, Liine Heikkinen, Pasi P. Aalto, Tuomo Nieminen, Katrianne Lehtipalo, Juho Aalto, Janne Levula, Jutta Kesti, Ekaterina Ezhova, Markku Kulmala, and Tuukka Petäjä
Aerosol Research Discuss., https://doi.org/10.5194/ar-2025-16,https://doi.org/10.5194/ar-2025-16, 2025
Preprint under review for AR
Short summary
Optimizing CCN predictions through inferred modal aerosol composition – a boreal forest case study
Rahul Ranjan, Liine Heikkinen, Lauri R. Ahonen, Krista Luoma, Paul Bowen, Tuukka Petäjä, Annica M. L. Ekman, Daniel G. Partridge, and Ilona Riipinen
EGUsphere, https://doi.org/10.5194/egusphere-2025-1602,https://doi.org/10.5194/egusphere-2025-1602, 2025
Short summary
New particle formation dynamics in the central Andes: contrasting urban and mountaintop environments
Diego Aliaga, Victoria A. Sinclair, Radovan Krejci, Marcos Andrade, Paulo Artaxo, Luis Blacutt, Runlong Cai, Samara Carbone, Yvette Gramlich, Liine Heikkinen, Dominic Heslin-Rees, Wei Huang, Veli-Matti Kerminen, Alkuin Maximilian Koenig, Markku Kulmala, Paolo Laj, Valeria Mardoñez-Balderrama, Claudia Mohr, Isabel Moreno, Pauli Paasonen, Wiebke Scholz, Karine Sellegri, Laura Ticona, Gaëlle Uzu, Fernando Velarde, Alfred Wiedensohler, Doug Worsnop, Cheng Wu, Chen Xuemeng, Qiaozhi Zha, and Federico Bianchi
Aerosol Research, 3, 15–44, https://doi.org/10.5194/ar-3-15-2025,https://doi.org/10.5194/ar-3-15-2025, 2025
Short summary

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Enrichment of organic nitrogen in fog residuals observed in the Italian Po Valley
Fredrik Mattsson, Almuth Neuberger, Liine Heikkinen, Yvette Gramlich, Marco Paglione, Matteo Rinaldi, Stefano Decesari, Paul Zieger, Ilona Riipinen, and Claudia Mohr
Atmos. Chem. Phys., 25, 7973–7989, https://doi.org/10.5194/acp-25-7973-2025,https://doi.org/10.5194/acp-25-7973-2025, 2025
Short summary
Asian dust transport of proteinaceous matter from the Gobi Desert to northern China
Ren-Guo Zhu, Hua-Yun Xiao, Meiju Yin, Hao Xiao, Zhongkui Zhou, Yuanyuan Pan, Guo Wei, and Cheng Liu
Atmos. Chem. Phys., 25, 7699–7718, https://doi.org/10.5194/acp-25-7699-2025,https://doi.org/10.5194/acp-25-7699-2025, 2025
Short summary
Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China
Yu Huang, Xingru Li, Dan Dan Huang, Ruoyuan Lei, Binhuang Zhou, Yunjiang Zhang, and Xinlei Ge
Atmos. Chem. Phys., 25, 7619–7645, https://doi.org/10.5194/acp-25-7619-2025,https://doi.org/10.5194/acp-25-7619-2025, 2025
Short summary
Technical note: Reconstructing missing surface aerosol elemental carbon data in long-term series with ensemble learning
Qingxiao Meng, Yunjiang Zhang, Sheng Zhong, Jie Fang, Lili Tang, Yongcai Rao, Minfeng Zhou, Jian Qiu, Xiaofeng Xu, Jean-Eudes Petit, Olivier Favez, and Xinlei Ge
Atmos. Chem. Phys., 25, 7485–7498, https://doi.org/10.5194/acp-25-7485-2025,https://doi.org/10.5194/acp-25-7485-2025, 2025
Short summary
Enhanced emission of intermediate-volatility/semi-volatile organic matter in gas and particle phases from ship exhausts with low-sulfur fuels
Binyu Xiao, Fan Zhang, Zeyu Liu, Yan Zhang, Rui Li, Can Wu, Xinyi Wan, Yi Wang, Yubao Chen, Yong Han, Min Cui, Libo Zhang, Yingjun Chen, and Gehui Wang
Atmos. Chem. Phys., 25, 7053–7069, https://doi.org/10.5194/acp-25-7053-2025,https://doi.org/10.5194/acp-25-7053-2025, 2025
Short summary

Cited articles

Äijälä, M., Heikkinen, L., Fröhlich, R., Canonaco, F., Prévôt, A. S. H., Junninen, H., Petäjä, T., Kulmala, M., Worsnop, D., and Ehn, M.: Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events, Atmos. Chem. Phys., 17, 3165–3197, https://doi.org/10.5194/acp-17-3165-2017, 2017. 
Äijälä, M., Daellenbach, K. R., Canonaco, F., Heikkinen, L., Junninen, H., Petäjä, T., Kulmala, M., Prévôt, A. S. H., and Ehn, M.: Constructing a data-driven receptor model for organic and inorganic aerosol – a synthesis analysis of eight mass spectrometric data sets from a boreal forest site, Atmos. Chem. Phys., 19, 3645–3672, https://doi.org/10.5194/acp-19-3645-2019, 2019. 
Alfarra, M. R.: Insights into the atmospheric organic aerosols using an aerosol mass spectrometer, PhD thesis, University of Manchester, Manchester, UK, 2004. 
Arthur, D. and Vassilvitskii, S.: k-means++: The Advantages of Careful Seeding, in: Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, 7–9 January 2007, pp. 1027–1035, 2007. 
Download
Short summary
In many locations worldwide aerosol particles have been shown to be made up of organic aerosol (OA). The boreal forest is a region where aerosol particles possess a high OA mass fraction. Here, we studied OA composition using the longest time series of OA composition ever obtained from a boreal environment. For this purpose, we tested a new analysis framework and discovered that most of the OA was highly oxidized, with strong seasonal behaviour reflecting different sources in summer and winter.
Share
Altmetrics
Final-revised paper
Preprint