What do we learn from long-term cloud condensation nuclei number concentration, particle number size distribution, and chemical composition measurements at regionally representative observatories?

• Main Authors: Bas Henzing, Roman Fröhlich, Ulrich Pöschl, Pasi Aalto, Minsu Park, Joel Brito, Urs Baltensperger, Hartmut Herrmann, Erik Herrmann, Mikael Ehn, Arnoud Frumau, Rupert Holzinger, Meintrat O. Andreae, Martin Gysel, Atsushi Matsuki, Nikolaos Mihalopoulos, Nikos Kalivitis, Tuukka Petäjä, Erik Swietlicki, Adam Kristensson, Laurent Poulain, Göran Frank, John A. Ogren, Alfred Wiedensohler, Frank Stratmann, Samara Carbone, David Picard, Gerard Kos, Mira L. Pöhlker, André S. H. Prévôt, Julia Schmale, Paulo Artaxo, Aikaterini Bougiatioti, Christopher Pöhlker, Mikhail Paramonov, Helmi Keskinen, Colin D. O'Dowd, Nicolas Bukowiecki, Seong Soo Yum, Jurgita Ovadnevaite, Iasonas Stavroulas, Markku Kulmala, Anne Jefferson, Karine Sellegri, Mikko Äijälä, Stefano Decesari, Silvia Henning, Athanasios Nenes, Yoko Iwamoto, Patrick Schlag
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2017
• Subjects: Research and Innovation action; Netherlands; EC; European Commission; Knowmad Institut; H2020; Mace; Noto; Barrow; Alaska
• Online Access: https://www.openaccessrepository.it/record/131003; https://doi.org/10.5194/acp-2017-798

Abstract. 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 conden...