Refined classification and characterization of atmospheric new-particle formation events using air ions

Dada, Lubna; Chellapermal, Robert; Buenrostro Mazon, Stephany; Paasonen, Pauli; Lampilahti, Janne; Manninen, Hanna E.; Junninen, Heikki; Petäjä, Tuukka; Kerminen, Veli-Matti; Kulmala, Markku

doi:https://doi.org/10.5194/acp-18-17883-2018

Articles | Volume 18, issue 24

https://doi.org/10.5194/acp-18-17883-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Pan-Eurasian Experiment (PEEX)

https://doi.org/10.5194/acp-18-17883-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 24

Research article

|

17 Dec 2018

Research article |

| 17 Dec 2018

Refined classification and characterization of atmospheric new-particle formation events using air ions

Lubna Dada, Robert Chellapermal, Stephany Buenrostro Mazon, Pauli Paasonen, Janne Lampilahti, Hanna E. Manninen, Heikki Junninen, Tuukka Petäjä, Veli-Matti Kerminen, and Markku Kulmala

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Final revised paper (published on 17 Dec 2018)
Preprint (discussion started on 09 Aug 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments to "Refined classification and characterization of atmospheric new particle formation events using air ions" by Dada et al.', Anonymous Referee #1, 18 Sep 2018
RC2: 'Comment to acp-2018-631', Anonymous Referee #2, 08 Oct 2018
AC1: 'Response to Anonymous Referee 1', Lubna Dada, 19 Nov 2018
AC2: 'Response to Anonymous Referee 2', Lubna Dada, 19 Nov 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Lubna Dada on behalf of the Authors (19 Nov 2018) Author's response Manuscript

ED: Publish as is (27 Nov 2018) by Imre Salma

AR by Lubna Dada on behalf of the Authors (29 Nov 2018)

Short summary

Our paper provides an automatic method to classify new particle formation events into four classes based on the accompanying air ion concentrations. The method is applied to 10 years of data measured within the SMEAR II station and was capable of eliminating the undefined class as well as defining the start, peak and end times of a regional event by monitoring the initial steps of cluster formation. Our method can be modified and applied to different locations where particle formation occurs.