Articles | Volume 1, issue 1
https://doi.org/10.5194/ar-1-81-2023
https://doi.org/10.5194/ar-1-81-2023
Research article
 | 
22 Dec 2023
Research article |  | 22 Dec 2023

Nanoparticle ranking analysis: determining new particle formation (NPF) event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles

Diego Aliaga, Santeri Tuovinen, Tinghan Zhang, Janne Lampilahti, Xinyang Li, Lauri Ahonen, Tom Kokkonen, Tuomo Nieminen, Simo Hakala, Pauli Paasonen, Federico Bianchi, Doug Worsnop, Veli-Matti Kerminen, and Markku Kulmala

Data sets

DATA for Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles Diego Aliaga https://doi.org/10.5281/ZENODO.10231189

Model code and software

daliagachc/ranking-hy_zenodo Diego Aliaga https://doi.org/10.5281/ZENODO.10231522

Download
Short summary
We introduce a novel method for evaluating days when small particles are formed in the atmosphere. Instead of the traditional binary division between event and non-event days, our method, known as "nano ranking analysis", provides a continuous, non-categorical metric for each day. By utilizing data from Hyytiälä, Finland, we show that our approach effectively quantifies these events. This innovative method paves the way for a deeper understanding of the factors influencing particle formation.
Altmetrics
Final-revised paper
Preprint