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.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-17883-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Dec 2018
Research article |
| 17 Dec 2018
| 17 Dec 2018
Refined classification and characterization of atmospheric new-particle formation events using air ions
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Robert Chellapermal
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Stephany Buenrostro Mazon
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Pauli Paasonen
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Janne Lampilahti
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Hanna E. Manninen
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Experimental Physics Department, CERN,
1211 Geneva, Switzerland
Heikki Junninen
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Institute of Physics, University of
Tartu, Ülikooli 18, 50090 Tartu, Estonia
Tuukka Petäjä
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Aerosol and Haze
Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and
Engineering, Beijing University of Chemical Technology, Beijing, China
Veli-Matti Kerminen
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Markku Kulmala
Institute for Atmospheric and Earth System Research/Physics, University of Helsinki, Helsinki, Finland
Aerosol and Haze
Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and
Engineering, Beijing University of Chemical Technology, Beijing, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences, Nanjing University, Nanjing, China
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Cited
33 citations as recorded by crossref.
- Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. 10.1016/j.jaerosci.2021.105878
- Investigation of new particle formation mechanisms and aerosol processes at Marambio Station, Antarctic Peninsula L. Quéléver et al. 10.5194/acp-22-8417-2022
- Aerosol particle formation in the upper residual layer J. Lampilahti et al. 10.5194/acp-21-7901-2021
- Towards understanding the characteristics of new particle formation in the Eastern Mediterranean R. Baalbaki et al. 10.5194/acp-21-9223-2021
- The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents H. Wu et al. 10.1093/nsr/nwaa157
- Nanoparticle ranking analysis: determining new particle formation (NPF) event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles D. Aliaga et al. 10.5194/ar-1-81-2023
- Elucidating the mechanisms of atmospheric new particle formation in the highly polluted Po Valley, Italy J. Cai et al. 10.5194/acp-24-2423-2024
- New particle formation in coastal New Zealand with a focus on open-ocean air masses M. Peltola et al. 10.5194/acp-22-6231-2022
- Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements I. Ylivinkka et al. 10.5194/amt-13-5595-2020
- Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing W. Du et al. 10.1021/acs.estlett.2c00159
- Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M. Kulmala et al. 10.5194/ar-2-49-2024
- New particle formation event detection with convolutional neural networks X. Zhang et al. 10.1016/j.atmosenv.2024.120487
- Vertical transport of ultrafine particles and turbulence evolution impact on new particle formation at the surface & Canton Tower H. Wu et al. 10.1016/j.atmosres.2024.107290
- An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom R. Thakur et al. 10.5194/acp-22-6365-2022
- Characteristics of new particle formation events in a mountain semi-rural location in India J. Victor et al. 10.1016/j.atmosenv.2024.120414
- Infrequent new particle formation in a coastal Mediterranean city during the summer A. Aktypis et al. 10.1016/j.atmosenv.2023.119732
- Measurement report: New particle formation characteristics at an urban and a mountain station in northern China Y. Zhou et al. 10.5194/acp-21-17885-2021
- Frequent new particle formation at remote sites in the subboreal forest of North America M. Andreae et al. 10.5194/acp-22-2487-2022
- The synergistic role of sulfuric acid, ammonia and organics in particle formation over an agricultural land L. Dada et al. 10.1039/D3EA00065F
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Quiet New Particle Formation in the Atmosphere M. Kulmala et al. 10.3389/fenvs.2022.912385
- New particle formation event detection with Mask R-CNN P. Su et al. 10.5194/acp-22-1293-2022
- Occurrence and growth of sub-50 nm aerosol particles in the Amazonian boundary layer M. Franco et al. 10.5194/acp-22-3469-2022
- Particle growth with photochemical age from new particle formation to haze in the winter of Beijing, China B. Chu et al. 10.1016/j.scitotenv.2020.142207
- Atmospheric new particle formation in India: Current understanding and knowledge gaps V. Kanawade et al. 10.1016/j.atmosenv.2021.118894
- Long-term measurement of sub-3 nm particles and their precursor gases in the boreal forest J. Sulo et al. 10.5194/acp-21-695-2021
- Differing Mechanisms of New Particle Formation at Two Arctic Sites L. Beck et al. 10.1029/2020GL091334
- Chemical precursors of new particle formation in coastal New Zealand M. Peltola et al. 10.5194/acp-23-3955-2023
- Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. 10.1038/s41596-019-0274-z
- Vertical profiles of sub-3 nm particles over the boreal forest K. Leino et al. 10.5194/acp-19-4127-2019
- Variation of size-segregated particle number concentrations in wintertime Beijing Y. Zhou et al. 10.5194/acp-20-1201-2020
- Regional New Particle Formation over the Eastern Mediterranean and Middle East P. Kalkavouras et al. 10.3390/atmos12010013
- Sources and sinks driving sulfuric acid concentrations in contrasting environments: implications on proxy calculations L. Dada et al. 10.5194/acp-20-11747-2020
33 citations as recorded by crossref.
- Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. 10.1016/j.jaerosci.2021.105878
- Investigation of new particle formation mechanisms and aerosol processes at Marambio Station, Antarctic Peninsula L. Quéléver et al. 10.5194/acp-22-8417-2022
- Aerosol particle formation in the upper residual layer J. Lampilahti et al. 10.5194/acp-21-7901-2021
- Towards understanding the characteristics of new particle formation in the Eastern Mediterranean R. Baalbaki et al. 10.5194/acp-21-9223-2021
- The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents H. Wu et al. 10.1093/nsr/nwaa157
- Nanoparticle ranking analysis: determining new particle formation (NPF) event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles D. Aliaga et al. 10.5194/ar-1-81-2023
- Elucidating the mechanisms of atmospheric new particle formation in the highly polluted Po Valley, Italy J. Cai et al. 10.5194/acp-24-2423-2024
- New particle formation in coastal New Zealand with a focus on open-ocean air masses M. Peltola et al. 10.5194/acp-22-6231-2022
- Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements I. Ylivinkka et al. 10.5194/amt-13-5595-2020
- Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing W. Du et al. 10.1021/acs.estlett.2c00159
- Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M. Kulmala et al. 10.5194/ar-2-49-2024
- New particle formation event detection with convolutional neural networks X. Zhang et al. 10.1016/j.atmosenv.2024.120487
- Vertical transport of ultrafine particles and turbulence evolution impact on new particle formation at the surface & Canton Tower H. Wu et al. 10.1016/j.atmosres.2024.107290
- An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom R. Thakur et al. 10.5194/acp-22-6365-2022
- Characteristics of new particle formation events in a mountain semi-rural location in India J. Victor et al. 10.1016/j.atmosenv.2024.120414
- Infrequent new particle formation in a coastal Mediterranean city during the summer A. Aktypis et al. 10.1016/j.atmosenv.2023.119732
- Measurement report: New particle formation characteristics at an urban and a mountain station in northern China Y. Zhou et al. 10.5194/acp-21-17885-2021
- Frequent new particle formation at remote sites in the subboreal forest of North America M. Andreae et al. 10.5194/acp-22-2487-2022
- The synergistic role of sulfuric acid, ammonia and organics in particle formation over an agricultural land L. Dada et al. 10.1039/D3EA00065F
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Quiet New Particle Formation in the Atmosphere M. Kulmala et al. 10.3389/fenvs.2022.912385
- New particle formation event detection with Mask R-CNN P. Su et al. 10.5194/acp-22-1293-2022
- Occurrence and growth of sub-50 nm aerosol particles in the Amazonian boundary layer M. Franco et al. 10.5194/acp-22-3469-2022
- Particle growth with photochemical age from new particle formation to haze in the winter of Beijing, China B. Chu et al. 10.1016/j.scitotenv.2020.142207
- Atmospheric new particle formation in India: Current understanding and knowledge gaps V. Kanawade et al. 10.1016/j.atmosenv.2021.118894
- Long-term measurement of sub-3 nm particles and their precursor gases in the boreal forest J. Sulo et al. 10.5194/acp-21-695-2021
- Differing Mechanisms of New Particle Formation at Two Arctic Sites L. Beck et al. 10.1029/2020GL091334
- Chemical precursors of new particle formation in coastal New Zealand M. Peltola et al. 10.5194/acp-23-3955-2023
- Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. 10.1038/s41596-019-0274-z
- Vertical profiles of sub-3 nm particles over the boreal forest K. Leino et al. 10.5194/acp-19-4127-2019
- Variation of size-segregated particle number concentrations in wintertime Beijing Y. Zhou et al. 10.5194/acp-20-1201-2020
- Regional New Particle Formation over the Eastern Mediterranean and Middle East P. Kalkavouras et al. 10.3390/atmos12010013
- Sources and sinks driving sulfuric acid concentrations in contrasting environments: implications on proxy calculations L. Dada et al. 10.5194/acp-20-11747-2020
Latest update: 18 Apr 2024
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.
Our paper provides an automatic method to classify new particle formation events into four...
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