Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-21-10081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2021
Research article |
| 06 Jul 2021
| 06 Jul 2021
Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach
Liine Heikkinen
CORRESPONDING AUTHOR
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
now at: Department of Environmental Science and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Mikko Äijälä
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Kaspar R. Daellenbach
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
now at: Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
Gang Chen
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
Villigen, Switzerland
Olga Garmash
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Diego Aliaga
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Frans Graeffe
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Meri Räty
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Krista Luoma
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Pasi Aalto
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Markku Kulmala
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Tuukka Petäjä
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Douglas Worsnop
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Aerodyne Research Inc., Billerica, MA, USA
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, 00014, Finland
Data sets
EBAS Norsk institutt for luftforskning (NILU) http://ebas.nilu.no/
Smart-SMEAR: on-line data exploration and visualization tool for SMEAR stations H. Junninen, A. Lauri, P. Keronen, P. Aalto, V. Hiltunen, P. Hari, P., and M. Kulmala https://smear.avaa.csc.fi/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.
In many locations worldwide aerosol particles have been shown to be made up of organic aerosol...
Special issue
Altmetrics
Final-revised paper
Preprint