Articles | Volume 22, issue 2
Atmos. Chem. Phys., 22, 1293–1309, 2022
https://doi.org/10.5194/acp-22-1293-2022
Atmos. Chem. Phys., 22, 1293–1309, 2022
https://doi.org/10.5194/acp-22-1293-2022

Research article 25 Jan 2022

Research article | 25 Jan 2022

New particle formation event detection with Mask R-CNN

Peifeng Su et al.

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

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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.
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