TY  -  
T1  - Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories 
SN  -  /  
UR  - http://hdl.handle.net/10138/299123 
T3  -  
A1  - Schmale, Julia; Henning, Silvia; Decesari, Stefano; Henzing, Bas; Keskinen, Helmi; Sellegri, Karine; Ovadnevaite, Jurgita; Poehlker, Mira L.; Brito, Joel; Bougiatioti, Aikaterini; Kristensson, Adam; Kalivitis, Nikos; Stavroulas, Iasonas; Carbone, Samara; Jefferson, Anne; Park, Minsu; Schlag, Patrick; Iwamoto, Yoko; Aalto, Pasi; Äijälä, Mikko; Bukowiecki, Nicolas; Ehn, Mikael; Frank, Goran; Frohlich, Roman; Frumau, Arnoud; Herrmann, Erik; Herrmann, Hartmut; Holzinger, Rupert; Kos, Gerard; Kulmala, Markku; Mihalopoulos, Nikolaos; Nenes, Athanasios; O'Dowd, Colin; Petäjä, Tuukka; Picard, David; Poehlker, Christopher; Poeschl, Ulrich; Poulain, Laurent; Prevot, Andre Stephan Henry; Swietlicki, Erik; Andreae, Meinrat O.; Artaxo, Paulo; Wiedensohler, Alfred; Ogren, John; Matsuki, Atsushi; Yum, Seong Soo; Stratmann, Frank; Baltensperger, Urs; Gysel, Martin 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Here we present a data set - ready to be used for model validation - of long-term observations of CCN number concentrations, particle number size distributions and chemical composition from... 
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KW  - AEROSOL MASS-SPECTROMETER; SINGLE-PARAMETER REPRESENTATION; BIOMASS BURNING SMOKE; MEGA-CITY GUANGZHOU; 3580 M A.S.L.; ORGANIC AEROSOL; CCN ACTIVITY; MIXING STATE; ATMOSPHERIC AEROSOL; HYGROSCOPIC GROWTH; 1172 Environmental sciences; 116 Chemical sciences; 114 Physical sciences 
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