Atmospheric new particle formation (NPF) is a naturally occurring phenomenon, during which high concentrations of sub-10 nm particles are created through gas to particle conversion. The NPF is observed in multiple environments around the world. Although it has observable influence onto annual total and ultrafine particle number concentrations (PNC and UFP, respectively), only limited epidemiological studies have investigated whether these particles are associated with adverse health effects. One plausible reason for this limitation may be related to the absence of NPF identifiers available in UFP and PNC data sets. Until recently, the regional NPF events were usually identified manually from particle number size distribution contour plots. Identification of NPF across multi-annual and multiple station data sets remained a tedious task. In this work, we introduce a regional NPF identifier, created using an automated, machine learning based algorithm. The regional NPF event tag was created for 65 measurement sites globally, covering the period from 1996 to 2023. The discussed data set can be used in future studies related to regional NPF.
FörderungenACTRIS-FR consortium ACTRIS-2 H2020 research project ACTRIS in situ EBAS Data Centre Co-operative Programme for Monitoring and Evaluation of the Long-range Transmission of Air pollutants in Europe (EMEP) under UNECE WMO program GAW North Rhine-Westphalia Office of Nature, Environment and Consumer Protection (LANUV) Research Council of Lithuania EU-Commission Grant Ministry of Education, Youth and Sports of the Czech Republic National Institute for Health Research (NIHR) Health Protection Research Unit in Environmental Exposures and Health UK Health Security Agency (UKHSA) Imperial College London UK Natural Environment Research Council through the National Centre for Atmospheric Science French Ministry for Research, French National Centre for Scientific Research (CNRS) Clouds and Trace Gases Research Infrastructure (ACTRIS)