Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories

• Main Authors: Schmale, Julia, Henning, Silvia, Decesari, Stefano, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Pöhlker, Mira, 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, Fröhlich, Roman, Frumau, Arnoud, Herrmann, Erik, Herrmann, Hartmut, Holzinger, Rupert, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Nenes, Athanasios, O'Dowd, Colin, Petäjä, Tuukka, Picard, David, Pöhlker, Christopher, Pöschl, Ulrich, Poulain, Laurent, Swietlicki, Erik, Andreae, Meinrat, Artaxo, Paulo, Wiedensohler, Alfred, Ogren, John, Matsuki, Atsushi, Soo Yum, Seong, Stratmann, Frank, Baltensperger, Urs, Gysel, Martin
• Other Authors: Sub Atmospheric physics and chemistry, Marine and Atmospheric Research
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Atmospheric Science; Arctic; Mace
• Online Access: https://dspace.library.uu.nl/handle/1874/377529

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 nuc...