Atmospheric new particle formation identifier using longitudinal global particle number size distribution data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F24%3A00605271" target="_blank" >RIV/67985858:_____/24:00605271 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41597-024-04079-1" target="_blank" >https://www.nature.com/articles/s41597-024-04079-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-024-04079-1" target="_blank" >10.1038/s41597-024-04079-1</a>
Alternative languages
Result language
angličtina
Original language name
Atmospheric new particle formation identifier using longitudinal global particle number size distribution data
Original language description
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. Thendiscussed data set can be used in future studies related to regional NPF.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/LM2023030" target="_blank" >LM2023030: ACTRIS – participation of the Czech Republic</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Data
ISSN
2052-4463
e-ISSN
2052-4463
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
1239
UT code for WoS article
001376593400001
EID of the result in the Scopus database
2-s2.0-85209196638