Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-1293-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-1293-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2022
Research article |
| 25 Jan 2022
| 25 Jan 2022
New particle formation event detection with Mask R-CNN
Peifeng Su
CORRESPONDING AUTHOR
Department of Geosciences and Geography, University of Helsinki,
00014 Helsinki, Finland
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Jorma Joutsensaari
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Lubna Dada
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne (EPFL) Valais, 1951 Sion, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Martha Arbayani Zaidan
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric
Sciences, Nanjing University, Nanjing, 210023, China
Tuomo Nieminen
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Institute for Atmospheric and Earth System Research (INAR/Forest Sciences), Faculty of Agriculture and Forestry, University of Helsinki, 00014 Helsinki, Finland
Xinyang Li
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Yusheng Wu
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Stefano Decesari
Institute of Atmospheric and Climate Sciences, National Research Council of Italy (CNR), 40129, Bologna, Italy
Sasu Tarkoma
Department of Computer Science, Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Tuukka Petäjä
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric
Sciences, Nanjing University, Nanjing, 210023, China
Markku Kulmala
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric
Sciences, Nanjing University, Nanjing, 210023, China
Petri Pellikka
Department of Geosciences and Geography, University of Helsinki,
00014 Helsinki, Finland
Institute for Atmospheric and Earth System Research (INAR/Physics), Faculty of Science, University of
Helsinki, 00014 Helsinki, Finland
Data sets
Smart-SMEAR: on-line data exploration and visualization tool for SMEAR stations H. Junninen, A. Lauri, P. Keronen, P. Aalto, V. Hiltunen, P. Hari, and M. Kulmala https://smear.avaa.csc.fi/
Model code and software
maskNPF P. Su, J. Joutsensaari, L. Dada, M. A. Zaidan, T. Nieminen, X. Li, Y. Wu, S. Decesari, S. Tarkoma, T. Petäjä, M. Kulmala, and P. Pellikka https://github.com/cvvsu/maskNPF.git
Short summary
We regarded the banana shapes in the surface plots as a special kind of object (similar to cats) and applied an instance segmentation technique to automatically identify the new particle formation (NPF) events (especially the strongest ones), in addition to their growth rates, start times, and end times. The automatic method generalized well on datasets collected in different sites, which is useful for long-term data series analysis and obtaining statistical properties of NPF events.
We regarded the banana shapes in the surface plots as a special kind of object (similar to cats)...
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