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Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition

Authors :
Jay G. Slowik
Bas Henzing
Atsushi Matsuki
Astrid Kiendler-Scharr
P. P. Aalto
Hiroshi Tsurumaru
Kenneth S. Carslaw
Erik Swietlicki
J. A. Ogren
Alfred Wiedensohler
David Picard
Tuukka Petäjä
Karine Sellegri
Markus Fiebig
Urs Baltensperger
Adam Kristensson
Anne Jefferson
Emanuel Hammer
Yoko Iwamoto
Cerina Wittbom
Liine Heikkinen
Mikael Ehn
Mikhail Paramonov
Cathrine Lund Myhre
Kento Kinouchi
Erik Herrmann
Colin D. O'Dowd
Nikolaos Mihalopoulos
Mikko Äijälä
Masaki Furuya
A. Sonntag
Rupert Holzinger
Arnoud Frumau
Göran Frank
Ann Mari Fjæraa
Iasonas Stavroulas
Roman Fröhlich
Kirsty J. Pringle
Nikos Kalivitis
Ghislain Motos
Jurgita Ovadnevaite
Laurent Poulain
André S. H. Prévôt
Markku Kulmala
Helmi Keskinen
Birgitta Svenningsson
Hiroyuki Hyono
Frank Stratmann
Silvia Henning
Maria Kanakidou
Aikaterini Bougiatioti
Patrick Schlag
Julia Schmale
Martin Gysel
Nicolas Bukowiecki
Carly Reddington
Seong Soo Yum
Jakub Bialek
Athanasios Nenes
Wolfram Birmili
Minsu Park
Gerard Kos
Source :
Scientific Data, Scientific Data, 4, Scientific data 4, 170003 (2017). doi:10.1038/sdata.2017.3, Scientific Data, 4, 1-26
Publication Year :
2017

Abstract

Cloud condensation nuclei (CCN) number concentrations alongside with submicrometer particle number size distributions and particle chemical composition have been measured at atmospheric observatories of the Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS) as well as other international sites over multiple years. Here, harmonized data records from 11 observatories are summarized, spanning 98,677 instrument hours for CCN data, 157,880 for particle number size distributions, and 70,817 for chemical composition data. The observatories represent nine different environments, e.g., Arctic, Atlantic, Pacific and Mediterranean maritime, boreal forest, or high alpine atmospheric conditions. This is a unique collection of aerosol particle properties most relevant for studying aerosol-cloud interactions which constitute the largest uncertainty in anthropogenic radiative forcing of the climate. The dataset is appropriate for comprehensive aerosol characterization (e.g., closure studies of CCN), model-measurement intercomparison and satellite retrieval method evaluation, among others. Data have been acquired and processed following international recommendations for quality assurance and have undergone multiple stages of quality assessment.

Details

ISSN :
20524463
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....ecb246e083db8a4af5a33328a57ae427
Full Text :
https://doi.org/10.1038/sdata.2017.3