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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
Korrespondenzautor
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
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology II (EPI2)