Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
-
Published:2017-03-14
Issue:1
Volume:4
Page:
-
ISSN:2052-4463
-
Container-title:Scientific Data
-
language:en
-
Short-container-title:Sci Data
Author:
Schmale JuliaORCID, Henning Silvia, Henzing Bas, Keskinen Helmi, Sellegri Karine, Ovadnevaite Jurgita, Bougiatioti Aikaterini, Kalivitis Nikos, Stavroulas Iasonas, Jefferson Anne, Park Minsu, Schlag PatrickORCID, Kristensson Adam, Iwamoto Yoko, Pringle Kirsty, Reddington Carly, Aalto Pasi, Äijälä Mikko, Baltensperger Urs, Bialek Jakub, Birmili Wolfram, Bukowiecki Nicolas, Ehn MikaelORCID, Fjæraa Ann Mari, Fiebig Markus, Frank Göran, Fröhlich Roman, Frumau Arnoud, Furuya Masaki, Hammer Emanuel, Heikkinen Liine, Herrmann ErikORCID, Holzinger Rupert, Hyono Hiroyuki, Kanakidou Maria, Kiendler-Scharr Astrid, Kinouchi Kento, Kos Gerard, Kulmala Markku, Mihalopoulos Nikolaos, Motos Ghislain, Nenes Athanasios, O’Dowd Colin, Paramonov Mikhail, Petäjä TuukkaORCID, Picard David, Poulain Laurent, Prévôt André Stephan Henry, Slowik Jay, Sonntag Andre, Swietlicki Erik, Svenningsson Birgitta, Tsurumaru Hiroshi, Wiedensohler Alfred, Wittbom Cerina, Ogren John A., Matsuki Atsushi, Yum Seong Soo, Myhre Cathrine LundORCID, Carslaw Ken, Stratmann Frank, Gysel MartinORCID
Abstract
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.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference90 articles.
1. Rosenfeld, D. et al. Global observations of aerosol-cloud-precipitation-climate interactions. Rev. Geophys. 52, 750–808, doi:10.1002/2013RG000441 (2014). 2. Boucher, O. et al. in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, eds, Stocker T. F. et al. Ch. 7, 571–658 (Cambridge University Press, 2013). 3. Rosenfeld, D. et al. Flood or drought: How do aerosols affect precipitation? Science 321, 1309–1313 (2008). 4. Lee, L. A. et al. The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei. Atmos. Chem. Phys. 13, 8879–8914 (2013). 5. Seinfeld, J. H. et al. Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system. Proceedings of the National Academy of Sciences 113, 5781–5790 (2016).
Cited by
46 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|