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Kecorius, S. ; Madueno, L.* ; Lovrić, M.* ; Racic, N.* ; Schwarz, M. ; Cyrys, J. ; Casquero-Vera, J.A.* ; Alados-Arboledas, L.* ; Conil, S.* ; Sciare, J.* ; Ondracek, J.* ; Hallar, A.G.* ; Gómez-Moreno, F.J.* ; Ellul, R.* ; Kristensson, A.* ; Sorribas, M.* ; Kalivitis, N.* ; Mihalopoulos, N.* ; Peters, A. ; Gini, M.* ; Eleftheriadis, K.* ; Vratolis, S.* ; Jeongeun, K.* ; Birmili, W.* ; Bergmans, B.* ; Nikolova, N.* ; Dinoi, A.* ; Contini, D.* ; Marinoni, A.* ; Alastuey, A.* ; Petäjä, T.* ; Rodriguez, S.* ; Picard, D.* ; Brem, B.* ; Priestman, M.* ; Green, D.C.* ; Beddows, D.C.S.* ; Harrison, R.M.* ; O'Dowd, C.* ; Ceburnis, D.* ; Hyvärinen, A.* ; Henzing, B.* ; Crumeyrolle, S.* ; Putaud, J.P.* ; Laj, P.* ; Weinhold, K.* ; Plauškaite, K.* ; Byčenkiene, S.*

Atmospheric new particle formation identifier using longitudinal global particle number size distribution data.

Sci. Data 11:1239 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Long-term Observations; Ultrafine Particles; Formation Events; Urban; Environments; Network
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2052-4463
e-ISSN 2052-4463
Zeitschrift Scientific Data
Quellenangaben Band: 11, Heft: 1, Seiten: , Artikelnummer: 1239 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-004
G-504000-001
G-504000-010
Förderungen ACTRIS-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)
DOI 10.1038/s41597-024-04079-1
WOS ID 001376593400001
Scopus ID 85209196638
PubMed ID 39550387
Erfassungsdatum 2024-11-27
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