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

Liine Heikkinen; Mikko Äijälä; Kaspar Dällenbach; Gang Chen; Olga Garmash; Diego  Aliaga; Frans  Graeffe; Meri Räty; Krista  Luoma; Pasi Aalto; Markku Kulmala; Tuukka Petäjä; Douglas Worsnop; Mikael Ehn

doi:10.5194/acp-2020-868

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

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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig

Originalspråk	engelska
Tidskrift	Atmospheric Chemistry and Physics Discussions
ISSN	1680-7367
DOI	https://doi.org/10.5194/acp-2020-868
Status	Publicerad - 1 sep 2020
MoE-publikationstyp	B1 Artikel i en vetenskaplig tidskrift

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114 Fysik

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10.5194/acp-2020-868Licens: CC BY

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Heikkinen, L., Äijälä, M., Dällenbach, K., Chen, G., Garmash, O., Aliaga , D., Graeffe, F., Räty, M., Luoma, K., Aalto, P., Kulmala, M., Petäjä, T., Worsnop, D., & Ehn, M. (2020). Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach. Atmospheric Chemistry and Physics Discussions. https://doi.org/10.5194/acp-2020-868

Heikkinen, Liine ; Äijälä, Mikko ; Dällenbach, Kaspar ; Chen, Gang ; Garmash, Olga ; Aliaga , Diego ; Graeffe, Frans ; Räty, Meri ; Luoma, Krista ; Aalto, Pasi ; Kulmala, Markku ; Petäjä, Tuukka ; Worsnop, Douglas ; Ehn, Mikael. / Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach. I: Atmospheric Chemistry and Physics Discussions. 2020.

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Heikkinen, L , Äijälä, M , Dällenbach, K, Chen, G, Garmash, O , Aliaga , D , Graeffe, F , Räty, M , Luoma, K , Aalto, P , Kulmala, M , Petäjä, T , Worsnop, D & Ehn, M 2020, 'Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach', Atmospheric Chemistry and Physics Discussions. https://doi.org/10.5194/acp-2020-868

Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach. / Heikkinen, Liine ; Äijälä, Mikko ; Dällenbach, Kaspar; Chen, Gang; Garmash, Olga ; Aliaga , Diego ; Graeffe, Frans ; Räty, Meri ; Luoma, Krista ; Aalto, Pasi ; Kulmala, Markku ; Petäjä, Tuukka ; Worsnop, Douglas ; Ehn, Mikael.

I: Atmospheric Chemistry and Physics Discussions, 01.09.2020.

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig

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AU - Dällenbach, Kaspar

AU - Chen, Gang

AU - Garmash, Olga

AU - Aliaga , Diego

AU - Graeffe, Frans

AU - Räty, Meri

AU - Luoma, Krista

AU - Aalto, Pasi

AU - Kulmala, Markku

AU - Petäjä, Tuukka

AU - Worsnop, Douglas

AU - Ehn, Mikael

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